Delivering ELIXIR-UK
Lead Research Organisation:
University of Edinburgh
Department Name: MRC Human Genetics Unit
Abstract
ELIXIR is a project that is designed to construct and operate a sustainable infrastructure for biological information in Europe. Owing to the dearth of individuals who can take advantage of large biological data sets, we have decided to focus the UK's ELIXIR node on training.
This is the century of biology, and genomics, transcriptomics, proteomics and metabolomics ('omics and bioinformatics) lie at its heart. The computer is an essential tool and now drives many critical aspects of the scientific process hence scientists need to know how to gain most advantage from it. Despite the central role of computing in science today:
- Most research scientists are ill-equipped to take advantage of the data 'bonanza' that is emanating from new technologies. Critical training needs across the community are, broadly, in the analysis and the interpretation of genome-scale data of many types, including next generation sequencing (NGS) data. Genomics is the area of greatest training need as it lies at the intersection of many fast-moving research disciplines.
- Many infrastructure technologists (career bioinformaticians) are ill-equipped to offer scalable, sustainable solutions for managing and interpreting data arising from this flood of technological advances. Critical training needs are in techniques and practices for data management, integration, compute and software, tools, services and standards.
The ELIXIR-UK Core Organisations are: the Universities of Oxford, Manchester, Liverpool, Birmingham, and Edinburgh; the NERC Environmental Omics Synthesis Centre; the Wellcome Trust Sanger Institute; the Genome Analysis Centre; and, University College London. Additional participating organisations are: the Software Sustainability Institute UK; the Hartree Centre; and the University of Dundee. Other organisations (UK and ELIXIR-wide) will be incorporated to provision training.
This is the century of biology, and genomics, transcriptomics, proteomics and metabolomics ('omics and bioinformatics) lie at its heart. The computer is an essential tool and now drives many critical aspects of the scientific process hence scientists need to know how to gain most advantage from it. Despite the central role of computing in science today:
- Most research scientists are ill-equipped to take advantage of the data 'bonanza' that is emanating from new technologies. Critical training needs across the community are, broadly, in the analysis and the interpretation of genome-scale data of many types, including next generation sequencing (NGS) data. Genomics is the area of greatest training need as it lies at the intersection of many fast-moving research disciplines.
- Many infrastructure technologists (career bioinformaticians) are ill-equipped to offer scalable, sustainable solutions for managing and interpreting data arising from this flood of technological advances. Critical training needs are in techniques and practices for data management, integration, compute and software, tools, services and standards.
The ELIXIR-UK Core Organisations are: the Universities of Oxford, Manchester, Liverpool, Birmingham, and Edinburgh; the NERC Environmental Omics Synthesis Centre; the Wellcome Trust Sanger Institute; the Genome Analysis Centre; and, University College London. Additional participating organisations are: the Software Sustainability Institute UK; the Hartree Centre; and the University of Dundee. Other organisations (UK and ELIXIR-wide) will be incorporated to provision training.
Technical Summary
The Node's training mission will be delivered in four ways:
(a) The organisation of training through ten cooperating Training Sectors where UK skills are strong, training needs have been identified, and training capabilities already exist. Each sector is led by established researchers in their fields, and many co-operations between the Sector Leads already exist. Each Sector Lead is responsible for: (i) representing the sector at initial Training the Trainers (TTT) events; (ii) organisation of an initial workshop that performs a training gap analysis for the sector, and (iii) fund-raising for resources that aim to plug these training gaps.
(b) These training gaps will also be filled by trainers' skills being developed by workshops that exchange ideas and best practice among sectors. ELIXIR-UK will be particularly supportive of training delivered at the
interface between different sectors. Existing training resources will be collated and new training materials
developed and disseminated at every opportunity.
(c) The development of a pilot Training e-Support Service platform that will seek, among other things, to offer the crucial means of registering and discovering training materials, face-to-face training opportunities
and training-relevant resources, and will progressively deliver forms of training online. A feasibility study will
be undertaken on whether pipelines could be developed to permit ELIXIR trainers to disseminate their own
training content on-line, whilst maintaining a separate copy in their home training institution.
(d) Development, management and monitoring of outcomes of the training activities through three posts who (i) support the Training Sector Leads, (ii) coordinate the redefinition of of training agendas with UK scientists, industry, grant-giving bodies and other ELIXIR Nodes, and (iii) will foster, mentor and support the community of trainings, across all sectors, in the UK and Europe.
(a) The organisation of training through ten cooperating Training Sectors where UK skills are strong, training needs have been identified, and training capabilities already exist. Each sector is led by established researchers in their fields, and many co-operations between the Sector Leads already exist. Each Sector Lead is responsible for: (i) representing the sector at initial Training the Trainers (TTT) events; (ii) organisation of an initial workshop that performs a training gap analysis for the sector, and (iii) fund-raising for resources that aim to plug these training gaps.
(b) These training gaps will also be filled by trainers' skills being developed by workshops that exchange ideas and best practice among sectors. ELIXIR-UK will be particularly supportive of training delivered at the
interface between different sectors. Existing training resources will be collated and new training materials
developed and disseminated at every opportunity.
(c) The development of a pilot Training e-Support Service platform that will seek, among other things, to offer the crucial means of registering and discovering training materials, face-to-face training opportunities
and training-relevant resources, and will progressively deliver forms of training online. A feasibility study will
be undertaken on whether pipelines could be developed to permit ELIXIR trainers to disseminate their own
training content on-line, whilst maintaining a separate copy in their home training institution.
(d) Development, management and monitoring of outcomes of the training activities through three posts who (i) support the Training Sector Leads, (ii) coordinate the redefinition of of training agendas with UK scientists, industry, grant-giving bodies and other ELIXIR Nodes, and (iii) will foster, mentor and support the community of trainings, across all sectors, in the UK and Europe.
Planned Impact
For Academic Impact please see 'Academic Beneficiaries'.
Industrial Impact.
Industry has a critical requirement for data sources, data integration, visualization and analysis tools, and for training related to these, across the broad spectrum of data types relevant to life sciences. The ELIXIR WP3 industry report refers to: protein and nucleotide sequencing; genomic information; genetic variation; small molecules; proteomics; transcriptomics; macromolecular structures; scientific literature analysis; ontologies or controlled vocabularies; and pathway and interaction information. In the pharmaceutical, consumer goods, consumer markets and agri-food sectors small molecule data, protein sequence and structure, as well as pathways are of critical importance. Genomic data, genomic variation, and links to phenotypes are important in plant and animal breeding. Food security can only be supported by scientifically driven research and by making the fruits of this research available to academic, governmental and industrial scientists. Scientists in large companies, medium and small size organizations can be overwhelmed by the complexity and volume of data. Repetition of in house custom solutions is not cost effective so a new landscape of pre-competitive collaborations is emerging. Training in understanding ranges of data types, interactions and agile integration are pre-requisites for efficient industrial research. Tools such as semantic web data integration techniques, controlled vocabulary / ontology definition and metadata capture are key for modern data driven biological research but adoption of these techniques in industry will require education and training. ELIXIR-UK will engage with industry in a number of ways:
- through industry organisations such as EFPIA, Pistoia (Pharma), and BioNOW (BioTech SMEs), systematically developing those links to inform its training content and training methods;
- awareness raising in industry of ELIXIR tools and resources, and providing training in them;
- packaging platform distributions such as BioLinux in other informatics sectors, such as cheminformatics;
- using industry for provisioning training and hosting training events;
- brokering access to high-end training needs in ICT literacy (e.g. HPC).
Industrial Impact.
Industry has a critical requirement for data sources, data integration, visualization and analysis tools, and for training related to these, across the broad spectrum of data types relevant to life sciences. The ELIXIR WP3 industry report refers to: protein and nucleotide sequencing; genomic information; genetic variation; small molecules; proteomics; transcriptomics; macromolecular structures; scientific literature analysis; ontologies or controlled vocabularies; and pathway and interaction information. In the pharmaceutical, consumer goods, consumer markets and agri-food sectors small molecule data, protein sequence and structure, as well as pathways are of critical importance. Genomic data, genomic variation, and links to phenotypes are important in plant and animal breeding. Food security can only be supported by scientifically driven research and by making the fruits of this research available to academic, governmental and industrial scientists. Scientists in large companies, medium and small size organizations can be overwhelmed by the complexity and volume of data. Repetition of in house custom solutions is not cost effective so a new landscape of pre-competitive collaborations is emerging. Training in understanding ranges of data types, interactions and agile integration are pre-requisites for efficient industrial research. Tools such as semantic web data integration techniques, controlled vocabulary / ontology definition and metadata capture are key for modern data driven biological research but adoption of these techniques in industry will require education and training. ELIXIR-UK will engage with industry in a number of ways:
- through industry organisations such as EFPIA, Pistoia (Pharma), and BioNOW (BioTech SMEs), systematically developing those links to inform its training content and training methods;
- awareness raising in industry of ELIXIR tools and resources, and providing training in them;
- packaging platform distributions such as BioLinux in other informatics sectors, such as cheminformatics;
- using industry for provisioning training and hosting training events;
- brokering access to high-end training needs in ICT literacy (e.g. HPC).
Organisations
- University of Edinburgh (Lead Research Organisation)
- The Royal Society (Collaboration)
- Cambridge University Press (Collaboration)
- UK Reproducibility Network (Collaboration)
- Springer Nature (Collaboration)
- eLife (Collaboration)
- Life Science Alliance (Collaboration)
- Czech Technical University in Prague (Collaboration)
- PeerJ (Collaboration)
- ISA Commons (Collaboration)
- Massachusetts Institute of Technology (Collaboration)
- AfricArXiv (Collaboration)
- ELIXIR (Collaboration)
- The Committee on Data for Science and Technology (CODATA) (Collaboration)
- Ubiquity Press (Collaboration)
- Outbreak Science (Collaboration)
- Oxford University Press (Collaboration)
- Taylor & Francis Group (Collaboration)
- European Molecular Biology Organisation (Collaboration)
- Datacite (Collaboration)
- GigaScience (Collaboration)
- Faculty of 1000 (Collaboration)
- Gates Open Research (Collaboration)
- Center for Open Science (COS) (Collaboration)
- Dutch Techcentre for Life Sciences (Collaboration)
- University of California, Los Angeles (UCLA) (Collaboration)
- Wiley (Collaboration)
- Elsevier (Collaboration)
- PLOS (Collaboration)
- Hindawi (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- UCL Press (Collaboration)
Publications
Austin CC
(2020)
Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group.
in Wellcome open research
Batista D
(2022)
Machine actionable metadata models
in Scientific Data
Beard N
(2020)
TeSS: a platform for discovering life-science training opportunities.
in Bioinformatics (Oxford, England)
Charbonneau A
(2022)
Making Common Fund data more findable: catalyzing a data ecosystem
in GigaScience
Clarke DJB
(2019)
FAIRshake: Toolkit to Evaluate the FAIRness of Research Digital Resources.
in Cell systems
Haibe-Kains B
(2020)
Transparency and reproducibility in artificial intelligence.
in Nature
Larcombe L
(2017)
ELIXIR-UK role in bioinformatics training at the national level and across ELIXIR.
in F1000Research
Mammoliti A
(2021)
Orchestrating and sharing large multimodal data for transparent and reproducible research.
in Nature communications
Mirzayi C
(2021)
Reporting guidelines for human microbiome research: the STORMS checklist.
in Nature medicine
| Description | Improved understanding of the importance of training in Big Data life sciences, both in academia and in industry. |
| First Year Of Impact | 2017 |
| Sector | Digital/Communication/Information Technologies (including Software),Education |
| Impact Types | Cultural,Economic |
| Description | FAIR Cookbook incorporated into the IMI guidance and tools catalogue |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://www.imi.europa.eu/sites/default/files/uploads/documents/resources-for-projects/IMI2_OpenAces... |
| Description | FAIRsharing features in the Case Study report by the UK the Open Research Data Task Force. |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/7753... |
| Description | FAIRsharing is endorsed by the Research Data Alliance, as one of the few flagship outputs |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://www.rd-alliance.org/group/fairsharing-registry-connecting-data-policies-standards-databases-... |
| Description | FAIRsharing is one of the elements mentioned in the "Framework for Discipline-specific Research Data Management" report by Science Europe. |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://www.scienceeurope.org/wp-content/uploads/2018/01/SE_Guidance_Document_RDMPs.pdf |
| Description | FAIRsharing is one of the resources recommended by the EU EOSC "Turning FAIR into Reality" report. |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | FAIRsharing is one of the resources recommended by the UK Jisc "FAIR in Practice report". |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | FAIRsharing is recommended by major scholarly publishers and journals |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://fairsharing.org/communities#adopters |
| Description | FAIRsharing is recommended by the STM association of scholarly publishers |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://www.stm-researchdata.org/ |
| Description | FAIRsharing is recommended in the "Country Sheets Analysis" report by European Commission's EOSC (2020) |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | FAIRsharing is recommended in the "EOSC Strategic Research and Innovation Agenda" report by European Commission's EOSC (2021) |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://www.eosc.eu/sites/default/files/EOSC-SRIA-V1.0_15Feb2021.pdf |
| Description | FAIRsharing is recommended in the "FAIR Metrics for EOSC" report by European Commission's EOSC (2021) |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | FAIRsharing is recommended in the "Horizon 2020 - Annotated Model Grant Agreement": guideline by the European Commission. |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/amga/h2020-amga_en.pdf |
| Description | FAIRsharing is recommended in the "Horizon 2020 projects working on COVID-19, SARS-CoV-2 and related topics" report by European Commission (2020) |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://ec.europa.eu/research/participants/data/ref/h2020/other/hi/oa-pilot/h2020-guidelines-oa-covi... |
| Description | FAIRsharing is recommended in the "Horizon Europe Programme Guide" report by European Commission's EOSC (2021) |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/guidance/programme-gu... |
| Description | FAIRsharing is recommended in the "Recommendations on certifying services required to enable FAIR within EOSC" report by European Commission's EOSC (2021) |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | FAIRsharing is recommended in the "Six Recommendations for implementation of FAIR practice" report by European Commission's EOSC (2020) |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | FAIRsharing is recommended in the "Sustainable and FAIR Data Sharing in the Humanities" report by the European Federation of Academies of Sciences and Humanities. |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://doi.org/10.7486/DRI.tq582c863 |
| Description | FAIRsharing is recommended in the "Top 10 FAIR Data & Software Things" guideline by the Library Carpentry. |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://librarycarpentry.org/Top-10-FAIR/ |
| Description | FAIRsharing is recommended in the "Turning FAIR into Reality" report by the European Commission's Expert Group on FAIR Data. |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://op.europa.eu/en/publication-detail/-/publication/7769a148-f1f6-11e8-9982-01aa75ed71a1/langua... |
| Description | FAIRsharing, FAIR Cookbook and ISA resources are core to ELIXIR data management services |
| Geographic Reach | Europe |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://elixir-europe.org/sites/default/files/documents/annual-report-2020.pdf |
| Description | Nominated member of the FAIR European Data Champion Board |
| Geographic Reach | Europe |
| Policy Influence Type | Membership of a guideline committee |
| URL | https://www.fairsfair.eu/advisory-board/egfc |
| Description | Nominated member of the GO-FAIR Executive Board |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Membership of a guideline committee |
| URL | https://www.go-fair.org/go-fair-initiative/governance/executive-board/ |
| Description | BY-COVID |
| Amount | € 12,000,000 (EUR) |
| Funding ID | 101046203 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 10/2021 |
| End | 09/2024 |
| Description | EINFRA-EOSC - EOSC-Life |
| Amount | £23,745,978 (GBP) |
| Funding ID | 824087 |
| Organisation | European Commission H2020 |
| Sector | Public |
| Country | Belgium |
| Start | 03/2019 |
| End | 02/2023 |
| Description | FAIRplus |
| Amount | £3,996,150 (GBP) |
| Funding ID | 802750 |
| Organisation | European Commission |
| Department | Innovative Medicines Initiative (IMI) |
| Sector | Public |
| Country | Belgium |
| Start | 01/2019 |
| End | 01/2022 |
| Description | ISA-InterMine: accelerating and rewarding data sharing |
| Amount | £1,174,660 (GBP) |
| Funding ID | 208381/A/17/Z |
| Organisation | Wellcome Trust |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 08/2018 |
| End | 07/2021 |
| Description | Innovation Scholarship: FAIR Data Stewards Training Project |
| Amount | £711,983 (GBP) |
| Funding ID | MR/V038966/1 |
| Organisation | United Kingdom Research and Innovation |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2021 |
| End | 01/2023 |
| Description | The FAIRsharing service: supporting the research life-cycle |
| Amount | £742,702 (GBP) |
| Funding ID | 212930/Z/18/Z |
| Organisation | Wellcome Trust |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 08/2019 |
| End | 07/2023 |
| Title | Continued improvements to the ISA toolkit |
| Description | Started in 2003 and first released in 2007, the ISA tools have been developed over time by the Oxford team and collaborators or directly contributed by partnering contributors, via the ISA Commons collaborative community. Short description of the developments and achievements of the resource over the last year: • Awarded Wellcome Trust funds (2018-2021), as collaborative project with the University of Cambridge's InterMine team to link the two resources and reward researchers for annotating and publish FAIR data; also, ISA is embedded in two ELIXIR Implementation Studies, on a Plant-focused data validation and on metabolomics. • With the uptake of ISA-Galaxy tools (https://github.com/ISA-tools/isatools-galaxy) and integration with the Galaxy Framework, ISA has struck a major milestone by showcasing how prospective data management can be done, demonstrating a full deposition workflow to Metabolights and creating training material (10.7490/f1000research.1115757.1). • Jupyter notebooks (https://github.com/ISA-tools/dtp-isa-exercises) have been developed as teaching material to showcase the use of ISA-API in various context to undergraduate and postgraduate courses on data readiness. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | Community use and impact is tracked via the ISA Commons, which currently has over 40 international groups, projects, and organizations that use and contribute to the development of components of the ISA metadata tracking framework. Therefore, we can say that the ISA user base ranges from hundreds to thousands of researchers from increasingly diverse domains (ranging from -omics, cell-based research, biomedical nanotechnology, plant phenotyping, toxicology, biodiversity, metagenomics, stem cell research, system biology, neuroscience, microbial science and immunology), and goes beyond researchers, curators, others resource developers and service providers, to also include journals. For example, ISA is used by the University of Oxford' GigaScience and underpins Springer Nature's Scientific Data data journal, supporting intelligent data sharing and credit; ISA is used to describe the experiment and to provide browse and search functionality for Scientific Data's content (http://scientificdata.isa-explorer.org). The ISA framework is currently embedded in a number of UK, EC and NIH and pharma funded infrastructure and research projects; here are exemplars from the ELIXIR UK Node and other Nodes: o EMBL-EBI MetaboLights' new web-based submission relies on ISA-JSON format to build web component and on the ISA-API to validate, convert experiments represented in ISA objects. o BBSRC-funded COPO infrastructure relies on the ISA API, ISA-JSON serialization and on the ISA configurations to support plant-based experiment molecular profiling experiments; it also used the ISAconverter to deposit to the ENA database. o ELIXIR-UK Node partners, University of Birmingham and Imperial College London use ISA Galaxy Tools, ISA-API and ISA validator - as part of their work in the UK Phenome Centre - to collect data prospectively but also organise public deposition to repositories. o ELIXIR Plant Community's MIAPPE standards and BrAPI rely on availability of ISA parsers and validation tools in the context of data validation programs. |
| URL | http://isa-tools.org |
| Title | Continued improvements to the ISA toolkit and the new Datascriptor component |
| Description | Started in 2003 and first released in 2007, the ISA tools (http://isa-tools.org) have been developed over time by the Oxford team and collaborators or directly contributed by partnering contributors, via the ISA Commons collaborative community (https://www.isacommons.org). Key work over the last year is the development of a new component, the Datascriptor: https://datascriptor.org, as part of the Wellcome Trust award (2018-2021), a collaborative project with the University of Cambridge's InterMine team. Leveraging our experience and links with the communities, we are designing an open-source web-based tool - part of an ecosystem of existing annotation and authoring systems - to help researchers to use community standards to describe their (meta)data at the source, and capitalize on their effort to accelerate the creation of a data article. In addition major advances have been made to the ISA API also working with the ELIXIR Plant and Metabolomics communities. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Community use and impact is tracked via the ISA Commons, which currently has over 40 international groups, projects, and organizations that use and contribute to the development of components of the ISA metadata tracking framework. Therefore, we can say that the ISA user base ranges from hundreds to thousands of researchers from increasingly diverse domains (ranging from -omics, cell-based research, biomedical nanotechnology, plant phenotyping, toxicology, biodiversity, metagenomics, stem cell research, system biology, neuroscience, microbial science and immunology), and goes beyond researchers, curators, others resource developers and service providers, to also include journals. For example, ISA is used by the University of Oxford' GigaScience and underpins Springer Nature's Scientific Data data journal, supporting intelligent data sharing and credit; ISA is used to describe the experiment and to provide browse and search functionality for Scientific Data's content (http://scientificdata.isa-explorer.org). The ISA framework is currently embedded in a number of UK, EC and NIH and pharma funded infrastructure and research projects; here are exemplars from the ELIXIR UK Node and other Nodes: (i) EMBL-EBI MetaboLights' new web-based submission relies on ISA-JSON format to build web component and on the ISA-API to validate, convert experiments represented in ISA objects. (ii) BBSRC-funded COPO infrastructure relies on the ISA API, ISA-JSON serialization and on the ISA configurations to support plant-based experiment molecular profiling experiments; it also used the ISAconverter to deposit to the ENA database. (iii) ELIXIR-UK Node partners, University of Birmingham and Imperial College London use ISA Galaxy Tools, ISA-API and ISA validator - as part of their work in the UK Phenome Centre - to collect data prospectively but also organise public deposition to repositories. (iv) ELIXIR Plant Community's MIAPPE standards and BrAPI rely on availability of ISA parsers and validation tools in the context of data validation programs. |
| URL | https://datascriptor.org |
| Title | Continued improvements to the ISA toolkit: the new graphql interface and RDF representation of ISA. |
| Description | The open source ISA framework and tools help to manage an increasingly diverse set of life science, environmental and biomedical experiments that employing one or a combination of technologies. Started in 2003 and first released in 2007, the ISA tools (http://isa-tools.org) have been developed over time by the Oxford team and collaborators or directly contributed by partnering contributors, via the ISA Commons collaborative community (https://www.isacommons.org Key work over the last year is the development of two new components, graphql interface to query ISA documents and a RDF representation of ISA in obo, sdo or wikidata (as part of the Wellcome Trust award, 2018-2021), a collaborative project with the University of Cambridge's InterMine team. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Community use and impact is tracked via the ISA Commons, which currently has over 50 international groups, projects, and organizations that use and contribute to the development of components of the ISA metadata tracking framework. Therefore, we can say that the ISA user base ranges from hundreds to thousands of researchers from increasingly diverse domains (ranging from -omics, cell-based research, biomedical nanotechnology, plant phenotyping, toxicology, biodiversity, metagenomics, stem cell research, system biology, neuroscience, microbial science and immunology), and goes beyond researchers, curators, others resource developers and service providers, to also include journals. The ISA framework is currently embedded in a number of UK, EC and NIH and pharma funded infrastructure and research projects; here are exemplars from the ELIXIR UK Node and other Nodes: (i) EMBL-EBI MetaboLights' new web-based submission relies on ISA-JSON format to build web component and on the ISA-API to validate, convert experiments represented in ISA objects. (ii) BBSRC-funded COPO infrastructure relies on the ISA API, ISA-JSON serialization and on the ISA configurations to support plant-based experiment molecular profiling experiments; it also used the ISAconverter to deposit to the ENA database. (iii) ELIXIR-UK Node partners, University of Birmingham and Imperial College London use ISA Galaxy Tools, ISA-API and ISA validator - as part of their work in the UK Phenome Centre - to collect data prospectively but also organise public deposition to repositories. (iv) ELIXIR Plant Community's MIAPPE standards and BrAPI rely on availability of ISA parsers and validation tools in the context of data validation programs. |
| URL | https://github.com/ISA-tools/isa-api |
| Title | FAIR Cookbook has become a service of the ELIXIR-UK and ELIXIR-LU Nodes, part of the ELIXIR ecosystem of FAIR resources |
| Description | The FAIR Cookbook is an online resource for the Life Sciences with content ("recipes") that help users to make and keep data Findable, Accessible, Interoperable and Reusable (FAIR). The content of the Cookbook and its FAIRness, as an online resource, has been enhanced by the use of the following technologies and standards: ? Findability: ? in search indexes via Sitemap.xml and JSON-LD; markup of the recipes with Schema.org and Bioschemas ? citable recipes via w3id.org unique persistent identifiers; ? credit to authors via ORCID. ? Accessibility: ? via HTTP protocol. ? Interoperability: ? via and JSON-LD markup; ? cross-link to objects in other registries; ? attribution to authors via CreDiT ontology. ? Reusability: ? Creative Commons Attribution 4.0 International (CC BY 4.0) license |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The FAIR Cookbook is also FAIR Cookbook has become a service of the ELIXIR-UK and ELIXIR-LU Nodes, and it is also part of the ELIXIR ecosystem of FAIR resources. This means that it will continue to grow, be used and supported by the wider ELIXIR community of data professionals. Due to its impact, the FAIR Cookbook has also a new ELIXIR subdomain URL. |
| URL | https://faircookbook.elixir-europe.org |
| Title | FAIR Cookbook, online recipes on our to make data FAIR |
| Description | A new online resource with recipes to: learn how to FAIRify exemplar datasets, putting the FAIR principles in practices; learn about levels and indicators of FAIRness; the maturity model, the technologies and tools available to assess and improve FAIRness; learn about the skills required, as well as the challenges. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | It is work in progress, however the work has already attracted prospective users and parties interested in contributing. This has also led to a collaboration with the Pistoia Alliance, to link the FAIR Cookbook to the Pistoia's FAIR Toolkit; and with the Alan Turing Institute's the Turing Way Book on reproducibility, since the FAIR Cookbook uses the Turing Way Book's styling guideline and build process. |
| URL | https://fairplus.github.io/the-fair-cookbook/content/home.html |
| Title | FAIRassist, the FAIRsharing educational component |
| Description | FAIRassist is the new educational component of the well established FAIRsharing resource, and aims to help users to discover resources to measure and improve FAIRness. FAIRassist implements a phased rollout of its content, working with and for the community. The initial step is to list and describe existing resources for the assessment and/or evaluation of digital objects against the FAIR principles, which are aspirational. The focus is on manual questionnaires, checklists and automated tests that help users understand how to achieve a state of "FAIRness", and how this can be measured and improved. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Many resources have registered their system, and users have requested we expand the context to add pointers to existing guidances on FAIR. |
| URL | https://fairassist.org |
| Title | New FAIRsharing resource |
| Description | FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to databases and data policies. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2011 |
| Provided To Others? | Yes |
| Impact | Funded by the new Wellcome Trust award (2019-2023). Completely re-written back end and data model, to allow for greater flexibility over the coming years; including: Search and edit updates, New data model, Relationship graphs for all records, A brand-new API, and Subject browser. |
| URL | https://fairsharing.org/ |
| Title | Re-launching BioSharing as FAIRsharing and improving it |
| Description | FAIRsharing, now is a curated, informative and educational resource on data and metadata standards, inter-related to databases and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resource more discoverable, more widely adopted and cited. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2011 |
| Provided To Others? | Yes |
| Impact | Launched in 2011, as BioSharing and re-launched as FAIRsharing in 2017, this resource is at the epicentre of FAIR-enabling activities, delivering guidance, tools and services with and for a variety of stakeholders. As these activities mature, we will implement them in, or connect them to, the FAIRsharing resource itself. FAIRsharing has a growing userbase encompassing institutions, libraries, journal publishers, infrastructure programmes, societies and other organizations or projects that in turn serve and guide individual researchers or other stakeholders on research data management matters. |
| URL | https://fairsharing.org/communities |
| Title | Redevelopment of the FAIRsharing resource |
| Description | Funded by the new Wellcome Trust award (2019-2023), we are in the process or redesign and redeveloping FAIRsharing as an open source system, with new and friendly features to grow, access and use the content. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2011 |
| Provided To Others? | Yes |
| Impact | Work has just started, but to ensure continued impact in the stakeholder community, FAIRsharing redevelopment and it is guided by a new Advisory Board, organised in a small group of Executive Advisors and a larger group of Stakeholder Advisors that represent the users and adopters: https://fairsharing.org/communities#governance |
| Title | terms4FAIRskills, a terminology for FAIR stewardship skills |
| Description | The terms4FAIRskills project aims to create a formalised terminology that describes the competencies, skills and knowledge associated with making and keeping data FAIR. When mature, this terminology will apply to a variety of use cases, including: - To assist with the creation and assessment of stewardship curricula; - To facilitate the annotation, discovery and evaluation of FAIR-enabling materials (e.g. training) and resources; - To enable the formalisation of job descriptions and CVs with recognised, structured competencies. The completed terminology will be of use to trainers who teach FAIR data skills, researchers who wish to identify skill gaps in their teams and managers who need to recruit individuals to relevant roles. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | The terms4FAIRskills is still at prototype stagem but -via a number of workshop- it is been tested by prospective users, such as developers and mantainers of online training material and relevant FAIR-enabling resources. |
| URL | https://terms4fairskills.github.io/ |
| Title | FAIRsharing |
| Description | FAIRsharing is a FAIR-supporting resource that provides an informative and educational registry on data standards, databases, repositories and policy, alongside search and visualization tools and services that interoperate with other FAIR-enabling resources. FAIRsharing guides consumers to discover, select and use standards, databases, repositories and policy with confidence, and producers to make their resources more discoverable, more widely adopted and cited. Each record in FAIRsharing is curated in collaboration with the maintainers of the resource themselves, ensuring that the metadata in the FAIRsharing registry is accurate and timely. Every record is manually reviewed at least once a year. Records can be collated into Collections, based on a project, society or organisation, or Recommendations, where they are collated around a policy, such as a journal or funder data policy. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | FAIRsharing is adopted and reccomended by major funders, publishers, libraries and global organizations, as well as research infrastructure and alliances in all disciplines: https://fairsharing.org/communities |
| URL | https://fairsharing.org |
| Description | ELIXIR Interoperability Platform and FAIRsharing |
| Organisation | ELIXIR |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Run by Prof. Sansone group, FAIRsharing (https://fairsharing.org) is a resource on standards, repositories, and data policies endorsed by a growing number of stakeholder communities, including major publishers, funders, libraries and FAIR-supporting organizations. FAIRsharing is part of the ELIXIR Recommended Interoperability Resources (RIRs) to facilitate interoperability and reusability of life science data and support the principles of FAIR data management. |
| Collaborator Contribution | The ELIXIR Recommended Interoperability Resources have been selected by external panel of reviewers, based on the selection criteria published in the Call for RIR application, which measure how they facilitate scientific research and how they improve FAIRness of life science data. |
| Impact | FAIRsharing is and will continue to be used by and further linked to other ELIXIR registries and services. |
| Start Year | 2018 |
| Description | ELIXIR Interoperability Platform and ISA |
| Organisation | ELIXIR |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | ISA is part of the ELIXIR Recommended Interoperability Resources (RIRs) to facilitate interoperability and reusability of life science data and support the principles of FAIR data management. |
| Collaborator Contribution | The ELIXIR Recommended Interoperability Resources have been selected by external panel of reviewers, based on the selection criteria published in the Call for RIR application, which measure how they facilitate scientific research and how they improve FAIRness of life science data. |
| Impact | ISA is and will continue to be used by and further developed with ELIXIR communities, especially with Plant and Metabolomics use cases. |
| Start Year | 2018 |
| Description | ELIXIR Metabolomics Community |
| Organisation | ELIXIR |
| Department | ELIXIR UK |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | My team has contributed ISA-related work to the ELIXIR Metabolomics use case, activities and reports. |
| Collaborator Contribution | We have gained more visibility for the ISA work and now ISA-Tab is a formal format used by the Galaxy analysis toolkit for metabolomics applications. |
| Impact | The ISA framework as the basis for the metadata standards used by this ELIXIR Metabolomics Community and the tools are embedded in the EBI MetaboLights databases, as well as in other international metabolomics resources. |
| Start Year | 2017 |
| Description | ELIXIR Metabolomics Community |
| Organisation | ELIXIR |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | My team has contributed ISA-related work to the ELIXIR Metabolomics use case, activities and reports. |
| Collaborator Contribution | We have gained more visibility for the ISA work and now ISA-Tab is a formal format used by the Galaxy analysis toolkit for metabolomics applications. |
| Impact | The ISA framework as the basis for the metadata standards used by this ELIXIR Metabolomics Community and the tools are embedded in the EBI MetaboLights databases, as well as in other international metabolomics resources. |
| Start Year | 2017 |
| Description | FAIRsharing and DMPonline |
| Organisation | University of Edinburgh |
| Department | Digital Curation Centre (DCC) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | FAIRsharing will provide access the DMPonline with access (via an API) to its interlinked registries, containing both in-house and crowdsourced manually curated descriptions of standards, databases and data policies. |
| Collaborator Contribution | This will allow DMPonline to take another step towards machine-actionability, access and serve to researchers the richly and curated description of standards and respositories served by FAIRsharing. |
| Impact | The collaboration has just started. |
| Start Year | 2020 |
| Description | FAIRsharing and Data Stewardship Wizard |
| Organisation | Czech Technical University in Prague |
| Country | Czech Republic |
| Sector | Academic/University |
| PI Contribution | The Data Stewardship Wizard (DSW) is a tool for data management planning. Prof. Sansone's group runs FAIRsharing, a community-recognized curated, informative and educational resource that interlinks community standards to databases, repositories and data policies (by funders and policies). We have worked with the DSW team to surface the right level of information from FAIRsharing to the DSW users, via the respective tools' APIs. |
| Collaborator Contribution | The DSW has accessed relevant FAIRsharing content and displaied for selection to the users, when they define a data management plan. |
| Impact | The questioning in the Data Stewardship Wizard is modelled after the conversation a researcher could have with a data management expert; most questions are closed questions with a limited set of possible answers. Answers on standards and repositories are obtained from linked services, such as FAIRsharing, as illustrated in this figure: https://datascience.codata.org/articles/10.5334/dsj-2019-059/dsj-18-954-g1.png/?action=download |
| Start Year | 2019 |
| Description | FAIRsharing and UKRN |
| Organisation | UK Reproducibility Network |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | FAIRsharing has joined the UKRN as an affiliate stakeholder. We plan to contribute expertise in FAIR data, as well as development and use of data and metadata standards, repositories and data policies. |
| Collaborator Contribution | This is early stage and the UKRN is being established, but we see the UKRN will be national channel to disseminate and engage around FAIR matters. |
| Impact | The collaboration has just started |
| Start Year | 2021 |
| Description | FAIRsharing and terms4FAIRskill initiative |
| Organisation | Dutch Techcentre for Life Sciences |
| Country | Netherlands |
| Sector | Charity/Non Profit |
| PI Contribution | The terms4FAIRskills project aims to create a formalised terminology that describes the competencies, skills and knowledge associated with making and keeping data FAIR. When mature, this terminology will apply to a variety of use cases, including: - To assist with the creation and assessment of stewardship curricula; - To facilitate the annotation, discovery and evaluation of FAIR-enabling materials (e.g. training) and resources; - To enable the formalisation of job descriptions and CVs with recognised, structured competencies. Prof. Sansone and Dr. Peter McQuilton have co-founded the initiative and, with other members of the group, we provide ontology expertise and have built and mantain the OWL file. |
| Collaborator Contribution | Each partner contribute use cases for the terminology and hands-on work to build the classification. |
| Impact | The OWL version of the terminology, plus related files, are available at: https://github.com/terms4fairskills/FAIRterminology |
| Start Year | 2019 |
| Description | FAIRsharing and terms4FAIRskill initiative |
| Organisation | ELIXIR |
| Department | ELIXIR UK |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | The terms4FAIRskills project aims to create a formalised terminology that describes the competencies, skills and knowledge associated with making and keeping data FAIR. When mature, this terminology will apply to a variety of use cases, including: - To assist with the creation and assessment of stewardship curricula; - To facilitate the annotation, discovery and evaluation of FAIR-enabling materials (e.g. training) and resources; - To enable the formalisation of job descriptions and CVs with recognised, structured competencies. Prof. Sansone and Dr. Peter McQuilton have co-founded the initiative and, with other members of the group, we provide ontology expertise and have built and mantain the OWL file. |
| Collaborator Contribution | Each partner contribute use cases for the terminology and hands-on work to build the classification. |
| Impact | The OWL version of the terminology, plus related files, are available at: https://github.com/terms4fairskills/FAIRterminology |
| Start Year | 2019 |
| Description | FAIRsharing and terms4FAIRskill initiative |
| Organisation | The Committee on Data for Science and Technology (CODATA) |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The terms4FAIRskills project aims to create a formalised terminology that describes the competencies, skills and knowledge associated with making and keeping data FAIR. When mature, this terminology will apply to a variety of use cases, including: - To assist with the creation and assessment of stewardship curricula; - To facilitate the annotation, discovery and evaluation of FAIR-enabling materials (e.g. training) and resources; - To enable the formalisation of job descriptions and CVs with recognised, structured competencies. Prof. Sansone and Dr. Peter McQuilton have co-founded the initiative and, with other members of the group, we provide ontology expertise and have built and mantain the OWL file. |
| Collaborator Contribution | Each partner contribute use cases for the terminology and hands-on work to build the classification. |
| Impact | The OWL version of the terminology, plus related files, are available at: https://github.com/terms4fairskills/FAIRterminology |
| Start Year | 2019 |
| Description | FAIRsharing and terms4FAIRskill initiative |
| Organisation | University of Edinburgh |
| Department | Digital Curation Centre (DCC) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The terms4FAIRskills project aims to create a formalised terminology that describes the competencies, skills and knowledge associated with making and keeping data FAIR. When mature, this terminology will apply to a variety of use cases, including: - To assist with the creation and assessment of stewardship curricula; - To facilitate the annotation, discovery and evaluation of FAIR-enabling materials (e.g. training) and resources; - To enable the formalisation of job descriptions and CVs with recognised, structured competencies. Prof. Sansone and Dr. Peter McQuilton have co-founded the initiative and, with other members of the group, we provide ontology expertise and have built and mantain the OWL file. |
| Collaborator Contribution | Each partner contribute use cases for the terminology and hands-on work to build the classification. |
| Impact | The OWL version of the terminology, plus related files, are available at: https://github.com/terms4fairskills/FAIRterminology |
| Start Year | 2019 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | AfricArXiv |
| Country | Benin |
| Sector | Charity/Non Profit |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | Cambridge University Press |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | Faculty of 1000 |
| Department | F1000 Research |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | Gates Open Research |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | GigaScience |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | Hindawi |
| Country | Egypt |
| Sector | Private |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | Life Science Alliance |
| Country | Germany |
| Sector | Charity/Non Profit |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | Massachusetts Institute of Technology |
| Department | MIT Press |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | Outbreak Science |
| Country | United States |
| Sector | Charity/Non Profit |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | Oxford University Press |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | PLOS |
| Country | United States |
| Sector | Charity/Non Profit |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | PeerJ |
| Country | United States |
| Sector | Private |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | The Royal Society |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | UCL Press |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | Ubiquity Press |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the COVID-19 Rapid Peer Review |
| Organisation | eLife |
| Sector | Charity/Non Profit |
| PI Contribution | Scholarly publishers are working together to maximize efficiency during COVID-19 pandemic, ensuring that key work related to COVID-19 is reviewed and published as quickly and openly as possible. The Initiative, which grew from a need to improve efficiency of peer review and publishing of crucial COVID-19 research, began in April 2020 and now involves over 20 publishers, industry experts, and scholarly communication organizations, supporting over 1,800 rapid reviewers across relevant fields. FAIRsharing is part of this initiative, because making data available is not enough, sharing it via the appropriate repositories -that also implement the relevant data and metadata standards- is essential. |
| Collaborator Contribution | The COVID Rapid Review Initiative members will register their data policy in FAIRsharing; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Impact | Volunteer Reviewer Form (April 2020): https://docs.google.com/forms/d/e/1FAIpQLSf7MILluJtO9xV2QXznWVd66UQU4puow4wSk7iwLz7iYcykfA/viewform?highlight=COVID-19 Press release: Data Deposition Required For All C19 Rapid Review Publishers (January 2021): https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers?highlight=COVID-19 Guest post - Update: COVID-19 Rapid Reviewers Collaboration (January 2021): https://oaspa.org/guest-post-update-covid-19-rapid-reviewers-collaboration/?highlight=COVID-19 FAIRsharing Data Policy Collection (January 2021): https://fairsharing.org/collection/C19RR?highlight=COVID-19 |
| Start Year | 2020 |
| Description | FAIRsharing and the Centre for Open Science |
| Organisation | Center for Open Science (COS) |
| Country | United States |
| Sector | Private |
| PI Contribution | The Center for Open Science (COS, cos.io) is a non-profit technology company with a mission to increase the openness, integrity, and reproducibility of research. It works to achieve this mission through meta-scientific research to quantify the barriers to reproducibility, advocacy and outreach to stakeholder organizations to remove those barriers, summarized in the Transparency and Openness Promotion (TOP) guidelines (cos.io/top), and builds infrastructure to enable these solutions (osf.io). Based in Pro. Sansone group in Oxford, FAIRsharing (fairsharing.org) is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. In this context, the organizations are carrying out a joint project to increase the number and the clarity of journal and research funder policies that effectively incentivize data sharing, among other goals. The TOP Guidelines consist of eight specific standards that funder and publishers of scientific research can use to implement better research practices. The FAIRsharing registry exists to bring clarity and discoverability to existing data policies. By working together these two organizations will classify the recommendations these policies contain, to improve their definition, comparability and ultimately clarity of guidance to the users (authors and awardees). Initially, an exemplar set of policies, already in FAIRsharing, has been commonly curated and their compliance to the TOP Data Transparency standard assessed; a mechanism will be developed to display the level of compliance in FAIRsharing. Progressively, the work will expand to cover more policies; additional sorting and discovery features will be added to help users to find and compare policies. |
| Collaborator Contribution | COS team has developed the TOP standard and calculated the score of these policies. |
| Impact | A growing number of policies (from funders and journals: https://fairsharing.org/policies/) have a TOP Level Data Transparency score visible in their FAIRsharing record; for example here is the PLOS record in FAIRsharing https://fairsharing.org/FAIRsharing.t2exm showing a TOP Level Data Transparency: 2. |
| Start Year | 2019 |
| Description | FAIRsharing, Datacite and major scholarly publishers |
| Organisation | Cambridge University Press |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback. |
| Collaborator Contribution | Datacite has assisted with the discussion and dissemination of the work. |
| Impact | Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments |
| Start Year | 2019 |
| Description | FAIRsharing, Datacite and major scholarly publishers |
| Organisation | Datacite |
| Sector | Charity/Non Profit |
| PI Contribution | DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback. |
| Collaborator Contribution | Datacite has assisted with the discussion and dissemination of the work. |
| Impact | Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments |
| Start Year | 2019 |
| Description | FAIRsharing, Datacite and major scholarly publishers |
| Organisation | Elsevier |
| Country | Netherlands |
| Sector | Private |
| PI Contribution | DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback. |
| Collaborator Contribution | Datacite has assisted with the discussion and dissemination of the work. |
| Impact | Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments |
| Start Year | 2019 |
| Description | FAIRsharing, Datacite and major scholarly publishers |
| Organisation | European Molecular Biology Organisation |
| Department | EMBO Press |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback. |
| Collaborator Contribution | Datacite has assisted with the discussion and dissemination of the work. |
| Impact | Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments |
| Start Year | 2019 |
| Description | FAIRsharing, Datacite and major scholarly publishers |
| Organisation | Faculty of 1000 |
| Department | F1000 Research |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback. |
| Collaborator Contribution | Datacite has assisted with the discussion and dissemination of the work. |
| Impact | Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments |
| Start Year | 2019 |
| Description | FAIRsharing, Datacite and major scholarly publishers |
| Organisation | GigaScience |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback. |
| Collaborator Contribution | Datacite has assisted with the discussion and dissemination of the work. |
| Impact | Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments |
| Start Year | 2019 |
| Description | FAIRsharing, Datacite and major scholarly publishers |
| Organisation | Hindawi |
| Country | Egypt |
| Sector | Private |
| PI Contribution | DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback. |
| Collaborator Contribution | Datacite has assisted with the discussion and dissemination of the work. |
| Impact | Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments |
| Start Year | 2019 |
| Description | FAIRsharing, Datacite and major scholarly publishers |
| Organisation | Springer Nature |
| Country | Germany |
| Sector | Private |
| PI Contribution | DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback. |
| Collaborator Contribution | Datacite has assisted with the discussion and dissemination of the work. |
| Impact | Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments |
| Start Year | 2019 |
| Description | FAIRsharing, Datacite and major scholarly publishers |
| Organisation | Taylor & Francis Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback. |
| Collaborator Contribution | Datacite has assisted with the discussion and dissemination of the work. |
| Impact | Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments |
| Start Year | 2019 |
| Description | FAIRsharing, Datacite and major scholarly publishers |
| Organisation | University of California, Los Angeles (UCLA) |
| Department | PLOS Medicine Journal |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback. |
| Collaborator Contribution | Datacite has assisted with the discussion and dissemination of the work. |
| Impact | Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments |
| Start Year | 2019 |
| Description | FAIRsharing, Datacite and major scholarly publishers |
| Organisation | Wiley |
| Country | United States |
| Sector | Private |
| PI Contribution | DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback. |
| Collaborator Contribution | Datacite has assisted with the discussion and dissemination of the work. |
| Impact | Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments |
| Start Year | 2019 |
| Description | FAIRsharing, Datacite and major scholarly publishers |
| Organisation | eLife |
| Sector | Charity/Non Profit |
| PI Contribution | DataCite is a leading global non-profit organization, that provides persistent identifiers (DOIs) with a focus on research data. DataCite's portfolio of services provide the means to create, find, cite, connect, and use research. Based in my group, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. FAIRsharing guides consumers to discover, select and use these resources with confidence, and producers to make their resources more findable, more widely adopted and cited. Both organizations aim to advance and enable FAIR research data. This joint effort between DataCite and FAIRsharing is set to improve, in collaboration with several leading publishers, the criteria used by journal publishers for the recommendation of research data repositories for the benefit of the broader research community. Our contribution has been to bring together publishers (Cambridge University Press, eLife, Elsevier, EMBO Press, F1000, Oxford University Press's GigaScience, PLOS, Springer Nature's Scientific Data, Taylor and Francis, Hindawi, and Wiley) that were part of the FAIRsharing network. We have also lead the discussion that has resulted in the proposed criteria, and written the article and run a survey to collect community feedback. |
| Collaborator Contribution | Datacite has assisted with the discussion and dissemination of the work. |
| Impact | Pre-print article: https://doi.org/10.17605/OSF.IO/N9QJ7 Blog post from a some of the participating publishers: - eLife https://elifesciences.org/inside-elife/7b9ba7ef/elife-latest-criteria-for-data-repository-selection - Elsevier https://www.elsevier.com/connect/share-your-thoughts-to-make-data-sharing-simpler-and-more-efficient?sf224886680=1&utm_campaign=MCRED_CMRE_DataElsevier&sf224890780=1 - F1000 https://blog.f1000.com/2019/11/29/data-repository-selection-criteria-that-matter-request-for-comments/ - GigaScience http://gigasciencejournal.com/blog/fairsharing-data-repository-selection/ - Hindawi https://about.hindawi.com/blog/data-repository-selection-criteria-that-matter-request-for-comments/ - Wiley https://www.wiley.com/network/researchers/latest-content/data-repository-selection-criteria-that-matter-we-want-to-hear-from-you - PLOS https://blogs.plos.org/plos/2019/11/request-for-comments-on-data-repository-selection-criteria-that-matter/ Taylor & Francis https://librarianresources.taylorandfrancis.com/data-repository-selection-criteria-that-matter/ - Cambridge University Press https://www.cambridge.org/core/blog/2019/12/10/openresearch-selecting-a-data-repository-criteria-that-matter - Springer Nature https://researchdata.springernature.com/users/69696-varsha-khodiyar/posts/57690-data-repository-selection-request-for-comments |
| Start Year | 2019 |
| Description | ISA Commons |
| Organisation | ISA Commons |
| Sector | Charity/Non Profit |
| PI Contribution | We have helped many users, service providers and other developers to implement one or more components of the ISA software suite at their site to fit their data needs. |
| Collaborator Contribution | They have helped us to refine the ISA software suite, filling gaps and tuning it for certain data types. |
| Impact | The ISA Commons is a growing ecosystem of institute-based (e.g. USA NASA GeneLab Data Repository) and global repositories (e.g. EMBL-EBI MetaboLights), as well as data-driven journals (e.g. Springer Nature Scientific Data) that use the ISA formats, and/or are powered by one or more component of the ISA software suite. But also grass-root standards groups that leverage on the ISA data model and formats. The sustainability and maintenance of the ISA data model, formats, and tools, is guided by the ISA Working Group. |
| Start Year | 2010 |
| Title | Datascriptor |
| Description | From structured dataset to data article. Leveraging our experience and links with the communities, we are now designing an open-source web-based tool - part of an ecosystem of existing annotation and authoring systems - to help researchers to use community standards to describe their (meta)data at the source, and capitalize on their effort to accelerate the creation of a data article. The user will be guided to provide (semi)structured descriptions of the experimental design, and of the post-processed data, to generate, respectively, the Methods and a set of statements to populate the Results section of a manuscript. Datascriptor will work: (i) as a stand-alone tool - for anyone to use - implementing generic metadata models, such as W3C Data Catalog vocabulary; and (ii) as a component of the ISA Tools - for its user communities - implementing the ISA metadata model. To output short sentences from the (semi)structured input, we will evaluate a mixed data-to-text approach using template-based and neural-based (i.e. machine learning) methods. To further enrich the content of the manuscript, Datascriptor will connect to existing authoring systems, including Substance, Texture, Stenci.la and Manuscripts, and export the result in JATS format. Our plans also include an export as a DAR file and in LaTeX format. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2019 |
| Open Source License? | Yes |
| Impact | Work has just started, but to ensure continued impact in the stakeholder community, the Datascriptor User Advisory Board includes a core group of existing collaborators: Thomas Lemberger (EMBO Press), Scott Edmunds (GigaScience), Holly Murray ( F1000), Varsha Khodiyar (Springer Nature). |
| Title | ISA-API Python library |
| Description | Project name: ISA-API Project home page: http://github.com/ISA-tools/isa-api Operating system(s): Platform independent Programming language: Python 3 Other requirements: None License: CPAL-1.0 ISA-API, a Python library that supports the creation, editing, parsing, and validatiation of both ISA-Tab and ISA-JSON formats, using a common data model implemented as native Python objects. |
| Type Of Technology | Software |
| Year Produced | 2018 |
| Open Source License? | Yes |
| Impact | This provides users with a common interface and interoperable medium between the two ISA formats, as well as conversion to a set of other formats required for depositing data in public databases. |
| Description | Alan Turing - The Turing Way Book; London |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The Turing Way is an online handbook - and global community - dedicated to fostering gold-standard reproducible research. It's a cultural movement with the potential to transform data science. A book dash is a one day collaborative event where selected contributors are invited to work with others to add to and improve the Turing Way book. I wrote a section on FAIR and FAIRsharing and my experience in research data management. My contribution is also featured in ATI's Impact Story on "Changing the culture of data science". |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.turing.ac.uk/research/impact-stories/changing-culture-data-science |
| Description | Biohackathon; ELIXIR, Paris |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The team participated to several tracks, especially working on ISA for plant and metabolomics community, as well as for use in Galaxy, and the bioschema work. The work carried our continue to embed ISA and FAIRsharing into ELIXIR-driven infrastructure and activities. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.elixir-europe.org/events/biohackathon-2018-paris |
| Description | Data discovery - NIH workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Prof. Sansone co-organized and chaired this NIH event to explore current capabilities, gaps and opportunities for global data search across the data ecosystem. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://web.cvent.com/event/9eec8239-babb-4beb-a0fe-45945e00bc4e/websitePage:645d57e4-75eb-4769-b2c0... |
| Description | ELIXIR-UK All Hands meeting |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Showcasing latest work on FAIRsharing and and presentation by Dr. Rocca-Serra of the FAIR Cookbook, as well as discussing how to best connect with other UK resources and those from other Nodes. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://elixir-europe.org/events/elixir-all-hands-2021 |
| Description | ELIXIR-UK AllHands meeting, Birmingham |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Showcasing latest work on FAIRsharing and ISA, as well as discussing how to best connect with other UK resources and those from other Nodes. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://elixiruknode.org/event/elixir-uk-all-hands-2018/ |
| Description | EOSC Data Policies - EC EOSC workshop |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Presentation by Dr. Allyson Lister on how FAIRsharing contributes to the monitoring of EOSC readiness via FAIR data policies. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://eoscfuture.eu/eventsfuture/monitoring-eosc-readiness-fair-data-policies/ |
| Description | Enabling FAIR - Open research data in the UK |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Westminster Higher Education Forum policy conference Open research data in the UK, followed by a panel and debate on challenges and opportunities on how to achieve it. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.westminsterforumprojects.co.uk/conference/open-research-data-20 |
| Description | FAIR Funder Implementation Vision; video |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Policymakers/politicians |
| Results and Impact | The 'FAIR made easy' is an animation that depicts the vision of the seven steps of the FAIR Funding. This vision was developed over time and after a series of meetings, bringing together several service providers to demonstrate a joint plan to bring the FAIR Funding cycle to life in a sustainable and scalable manner. Our FAIRsharing and ISA are part of this vision, as elements of the FAIR-enabling ecosystem. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.go-fair.org/today/FAIR-funder/ |
| Description | FAIR and FAIRsharing - Euroscience Open Forum |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Overview of FAIR and FAIRsharing, with focus on work done with and for publishers; followed by a panel and Q&A session on data sharing and its impact on scientific careers and their evaluation. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.esof.eu/en/programme/programme-event-list-all-events/event-information/scientific-data-s... |
| Description | FAIR data and the EU - EU COVID workshop serie |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Two presentations on FAIRsharing, the FAIR Cookbook and other ELIXIR activities by Prof. Sansone to 'by-invitation' only events by the EC on COVID-19 data sharing and reuse |
| Year(s) Of Engagement Activity | 2021 |
| Description | FAIR data resources, examples from the life sciences - EERAdata workshop |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation by Prof. Sansone, showcasing examples of FAIR resources from the life science and ELIXIR to the energy community |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.eeradata.eu/event/2857:online-discussion-fairification-put-into-practice-characterizatio... |
| Description | FAIR for humans and machines - keynote at MCBIOS & MAQC joint virtual conference |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation by Prof. Sansone on the increasing role of FAIR data practices in biomedical research, using the FAIR Cookbook as example of practices being developed and implemented collaboratively also with the private sections, such as pharmas in this case. |
| Year(s) Of Engagement Activity | 2021 |
| URL | http://mcbios-maqc.org/keynote/ |
| Description | FAIR implementation by Life Science Industry, session - CODATA, GO-FAIR International FAIR Convergence Symposium |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Expert practitioners shared their insights from large enterprises and SMEs, often working in partnership with leading academic groups. The presentations placed emphasis on the practicalities of FAIR Implementation through: the launch of the Pistoia FAIR Toolkit, use cases of FAIR implementation by global pharmaceutical companies, and community protocols such as the FAIR Cookbook. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://conference.codata.org/FAIRconvergence2020/sessions/185/ |
| Description | FAIR in a nutshell; Harnessing FAIR Data event, London |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Raised awareness in and around FAIR principles and practices, as well as participated at a panel discussion that highlighted the importance as well as the challenges around implementing FAIR data. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.ses.ac.uk/event/harnessing-fair-data/ |
| Description | FAIR, ISA and FAIRsharing; MAQC Society, Riva del Garda |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The MAQC Society communicates, promotes, and advances reproducible science principles and quality control for analysis of the massive data generated from the existing and emerging technologies in solving biological, health, and medical problems. My talk and discussion that followed introduced the audience to the FAIR Principles, the ecosystem of tools and resources. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://maqc2019.fbk.eu/ |
| Description | FAIR, ISA and FAIRsharing; Pharmas, San Antonio |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | The FDA-organized session focused on communicating, promoting, and advancing reproducible science principles and quality control for data generated from the existing and emerging technologies in solving biological, health, and medical problems. My talk and discussion that followed introduced the audience to the FAIR Principles, the ecosystem of tools and resources. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.aaps.org/pharmsci |
| Description | FAIR: from principles and practices - UKRN workshop |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Talk partof a workshop hosted by the UK Reproducibility Network; the presentation served to introduce FAIR and illustrate how from the principles we can move to practices, using a number of exemplar projects and activities in the life sciences. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.ukrn.org/event/data-to-metadata/ |
| Description | FAIRsharing Chemical Data; IUPAC workshop, Amsterdam |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Introducing FAIRsharing to a new audience and engaging with databases and standards creators in the chemistry domain. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://iupac.org/event/supporting-fair-exchange-chemical-data-standards-development/ |
| Description | FAIRsharing Educational Workshop with TU Delft |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | FAIRsharing organised a 2-days workshop for the Data Stewards and Champions at TU Delft, also attended by colleagues from University of Stuttgart, RWTH Aachen University, Technical University of Denmark (DTU), and the Swiss Federal Institute of Technology Lausanne (EPFL). The first there was a demonstration of how to use FAIRsharing, and how curation of standards and databases is donel. The second day focussed on how to develop standards when there are no community-endorsed standards available and also how to contribute a standard to FAIRsharing. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://openworking.wordpress.com/2020/07/10/fairsharing-how-to-contribute-to-standards/ |
| Description | FAIRsharing and terms4FAIRskills at EOSC; Budapest |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | This is the annual event where "Where the EOSC makers & shakers meet". I was invited to expert panels to give an introduction on the FAIRsharing growing update and the terms4FAIRskills initiative. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.eoscsecretariat.eu/eosc-symposium |
| Description | FAIRsharing and the COVID-19 Rapid Review Initiative |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The C19 Rapid Review Initiative is a large-scale collaboration of organisations across the scholarly publishing industry and organizations (eLife, F1000 Research, Hindawi, PeerJ, PLOS, Royal Society, FAIRsharing, Outbreak Science Rapid PREreview, GigaScience, Life Science Alliance, Ubiquity Press, UCL, MIT Press, Cambridge University Press, BMC, RoRi, AfricArXiv, Oxford University Press, and Gates Open Research) that has agreed to mandate data deposition across the journals part of the initiative. The press release announce that data available on request will not be acceptable, except for legal or ethical reasons (publishers have specific policies regarding exceptions, and how they may be able to be managed in other ways). For transparency and visibility, COVID Rapid Review Initiative members will register their data policy in FAIRsharing, which interlinks repositories to standards for identifying and reporting data and metadata; these data policies will be grouped and visible under a dedicated FAIRsharing Collection. The use of repositories and community standards are at the core of FAIR, the globally adopted Principles advocating datasets and other research outputs are findable, accessible, interoperable and reusable. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://oaspa.org/data-deposition-required-for-all-c19-rapid-review-publishers/?highlight=COVID-19 |
| Description | FAIRsharing and the COVID-19 Rapid Review Initiative - OASPA webinar |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | This webinar explored recent steps from some publishers and other scholarly communications organisations, including FAIRsharing that are collaborating with the aim of increasing efficiency and speed in the publication of COVID-19 research by responding to researcher needs for societal impact. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://oaspa.org/webinar-scholarly-communication-covid-19-closing-the-loop-for-effective-peer-revie... |
| Description | FAIRsharing: transforming research data policies, culture and practice - Reproducibility conference |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation of the FAIRsharing activities by Dr. Peter McQuilton, with focus on its role and activities in reproducibility and replicability in science. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://coursesandconferences.wellcomegenomecampus.org/our-events/reproducibility-replicability-trus... |
| Description | FAIRsharing; BOSC conference, Portland |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Introducing FAIRsharing to a new audience of databases and standards developers |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://gccbosc2018.sched.com/event/FEX7/b21-fairsharing-working-with-the-community-to-map-the-lands... |
| Description | FAIRsharing; ELIXIR AllHands 2018, Berlin. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Helped to shape the role of FAIRsharing in the context of other ELIXIR FAIR-supporting resources. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.elixir-europe.org/events/elixir-all-hands-2018 |
| Description | FAIRsharing; GO-FAIR meeting, Leiden. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Create a critical mass around FAIRsharing, discussed and launched an Implementation Network around making Standards, Repositories, and Policies FAIR, named FAIR StRePo: https://www.go-fair.org/implementation-networks/overview/fair-strepo |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.go-fair.org/implementation-networks/overview/ |
| Description | Fostering a FAIR research culture; Porto |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The workshop explored examples where successes have been realised and consider if these are extensible to other domains. This work will feed into recommendations being developed by the EU EOSC-funded FAIRsFAIR project (https://www.fairsfair.eu) to help improve FAIR policy and practice. I gave examples of what has and what has not worked in the life science community. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.opensciencefair.eu/ |
| Description | My role in the FAIR ecosystem |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I was nominated as one of the European Group of FAIR Champions (EGFC), which is a group of scientific experts and "doers" in the field of FAIR data. My role is to be an ambassador of FAIR by sharing FAIR implementation stories, enhancing synergies, contributing to training activities and webinars, and doing an effective cross fertilization with other communities, towards a broader engagement on FAIR. This short video is an example of my activity as an EGFC. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.fairsfair.eu/videos |
| Description | Neuroinformatics Assembly 2021 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation of the FAIRsharing activities by Prof Sansone, with focus on its role and activities in neuroscience. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://neuroinformatics.incf.org/2021/program |
| Description | Panel on data sharing - USA NAS Changing the Culture of Data Management and Sharing workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited panelist, Prof. Sansone, gave evidences of the importance of sharing data and the need for stronger and clearer data policies |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.nationalacademies.org/our-work/changing-the-culture-of-data-management-and-sharing-a-wor... |
| Description | Poster presentation: ISAcreate and Galaxy; Galaxy conference, Portland |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | ISA-Tab format is now used by Galaxy tools; the discussion helped ensuring the uptake continue |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://gccbosc2018.sched.com/event/FEWs/g26-isacreate-a-galaxy-tool-for-prospective-data-management... |
| Description | RDA FAIRsharing WG - overview of the work; IDW, Gaborone |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Overview and discussion of the RDA-Force FAIRsharing WG activities, especially the recommendations, to guide the users and producers of standards, databases and repositories on how to best select and describe these resources; and to guide funders and publishers on how to recommend them in data policies. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://rd-alliance.org/group/fairsharing-registry-connecting-data-policies-standards-databases-wg/o... |
| Description | RDA FAIRsharing WG - overview of the work; RDA, Berlin |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Overview and discussion of the RDA-Force FAIRsharing WG activities, especially the recommendations, to guide the users and producers of standards, databases and repositories on how to best select and describe these resources; and to guide funders and publishers on how to recommend them in data policies. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://rd-alliance.org/group/fairsharing-registry-connecting-data-policies-standards-databases-wg/o... |
| Description | RDA FAIRsharing WG; Helsinki |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Overview and discussion of the RDA-Force FAIRsharing WG activities, especially the recommendations, to guide the users and producers of standards, databases and repositories on how to best select and describe these resources; and to guide funders and publishers on how to recommend them in data policies. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://rd-alliance.org/group/fairsharing-registry-connecting-data-policies-standards-databases-wg/o... |
| Description | RDA FAIRsharing WG; Philadelphia |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Overview and discussion of the RDA-Force FAIRsharing WG activities, especially the recommendations, to guide the users and producers of standards, databases and repositories on how to best select and describe these resources; and to guide funders and publishers on how to recommend them in data policies. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://rd-alliance.org/group/fairsharing-registry-connecting-data-policies-standards-databases-wg/o... |
| Description | RDA FAIRsharing and FAIR actitivies - RDA 18th Plenary |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation by Prof. Sansone on the FAIR Cookbook to the RDA Health Data WG; co-charing of the FAIRsharing WG session with Funders and Policy IGs, to guide funders and publishers on how to recommend them in data policies. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.rd-alliance.org/rdas-18th-plenary-meeting-programme |
| Description | Terms4FAIRskills - EOSC Symposium |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Overview by Dr. Peter McQuilton on the terms4FAIRskills collaborative initiative set to building a terminology for the skills necessary to make data FAIR and to keep it FAIR, partly funded by a EOSC co-creation contract to create a prototype. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.eoscsecretariat.eu/eosc-symposium-2020-programme |
| Description | The FAIR Cookbook - ELIXIR webinar |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation by Prof. Sansone and Dr. Rocca-Serra on the FAIR Cookbook, developed by and for life science researchers and data stewards, combining the expertise of industry experts and academia. The presentation covered FAIR Cookbook recipes, the challenges and the key required capabilities and skills required. This ELIXIR-organised webinar attracted over 300 attendees (and over 400 registrations), of which more than half were academics, the rest from the private sector; this is the highest number and webinar attendance rate recorded by ELIXIR to date. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://elixir-europe.org/events/fairplus-webinar-discovering-fair-cookbook |
| Description | The FAIR Cookbook - ELIXIR-UK All Hands, and UK Conference of Bioinformatics and Computational Biology |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Overview of the IMI FAIRplus project, including the FAIR Cookbook, by Dr. Rocca-Serra: an online resource to learn how to FAIRify and improve FAIRness of data, putting the FAIR principles in practices. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21#Day1-2 |
| Description | The FAIR Principles and the IMI FAIRplus project - UK Conference of Bioinformatics and Computational Biology |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Overview of FAIR and the IMI FAIRplus project, including the FAIR Cookbook, an online resource to learn how to FAIRify and improve FAIRness of data, putting the FAIR principles in practices. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-2020 |
| Description | The Increasing Role of FAIR Data Practices in Biomedical Research - UKRN workshop |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation by Dr. Rocca-Serra on the Increasing role of FAIR data practices in biomedical research, using the FAIR Cookbook as example of practices being developed and implemented collaboratively also with the private sections, such as pharmas in this case. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.ukrn.org/event/data-to-metadata/ |
| Description | The layered cake of FAIR coordination: how many is too many? Blog post |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | With two colleagues I wrote a blog post to elaborate on the discussioin that followed a workshop on FAIR practices and efforts at the Open Science FAIR event. The blog has trigged lots of discussion and positive comments around the need to reduce the number of coordination activities. Coordination is also a necessary evil, but to be effective, a coordination effort has to be realistic and targeted at the right level. |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://blogs.nature.com/scientificdata/2019/10/22/the-layered-cake/ |
| Description | Using FAIRsharing to improve the visibility of your repository - FAIRsFAIR workshop |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation by Dr. Allyson Lister on how FAIRsharing improves the visibility of repository services |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://fairsfair.eu/events/webinar-series/using-registries-improve-visibility-your-repository-servi... |