Omics Data Standards: synergy and implementations
Lead Research Organisation:
EMBL - European Bioinformatics Institute
Department Name: Microarray Group
Abstract
The marriage of conventional biomedical and environmental research with transcriptomics, proteomics and metabolomics technologies has created not only opportunities, but also new informatics challenges to biologists and bioinformaticians. We require new approaches to describe, store and exchange these - information intensive investigations, so that the datasets can be properly analyzed, compared and integrated. We need reporting standards agreed upon by a community for describing the way to report, for publication and dissemination, the results of a particular investigation and for making the research more accessible for the benefit of the wider scientific community. Data reporting standards, the basic pillar of data sharing, include: - Checklists, outlining the minimal requirements that should be reported - Syntax, defining the transmission formats that facilitate the exchange of the information - Semantics, adding the interpretive layer to the information. Given the high value of functional genomics and system biology information, standardization activities have moved from the fringes to centre-stage. Several grass roots, community-driven, international data standardization activities are underway to define standard reporting structure for one particular omics technologies (e.g. transcriptomics, proteomics). Discipline-specific initiatives, however, remain within each given discipline and as a consequence of this the overall standardization effort fragments, resulting in unnecessary duplication of effort, and the development of different semantics and syntaxes thereby limiting the potential for data exchange. Fortunately, there is a generally accepted view that concerted efforts are required throughout the functional genomics and reaching out to the system biology. Synergistic activities have begun already to remove redundancy and foster harmonisation and consolidation of reporting standards. By contrast, the sociological barriers can be quite challenging, mandating extensive liaison amongst communities. Also the time invested in these activities is often severely limited due to lack of resources. Face-to-face developers' workshops are critical to create consensus. Unfortunately it is very difficult to hold such workshops when no central fund exits to support the projects and when developers participate on a volunteer base, paying their own travel and accommodation expenses from wherever they can find the funds. In this proposal we are seeking funding to organize a series of hands-on workshops to ensure the coordinated development of data reporting standards. We propose to focus on the three thematic projects and with several environmental communities - both from the UK and around the globe - create the basis for developing data sharing environments, with the use cases from several biomedical and environmental communities.
Technical Summary
This application is guided by the requirements of the RSBI, a working group bringing together several biomedical and environmental communities to tackle the challenges associated with reporting complex investigations employing multiple omics' technologies. RSBI works under the assumption that no one group or community can solve the challenges of developing reporting standards for the functional genomics domain. Although established MGED Society (e.g microarray-based transcriptomics) umbrella, RSBI has always worked in the wider functional genomics context, through extensive liaisons with other standard efforts such as the PSI, the MSI and the GSC. There is a generally accepted view that the need to harmonise and consolidate reporting standards is unarguable. From a technical perspective, it will be necessary to remove redundancies and fill the gaps between the domains covered by checklists, exchange formats and terminologies. These are difficult but not insurmountable tasks and our workshops aim to facilitate synergistic activities, by bringing together the key developers of the grass roots communities to focus on the: - MIcheck project, promoting gradual integration of minimal information checklists - FuGE project, providing a model of common components for exchange format development - OBI project, delivering an set of common terms to support semantic integration Ultimately, data reporting standards create the basis for developing data sharing environments. A crucial outcome of our workshops is set of common practice descriptions and documentation of progress in a clear and understandable manner for the relevant target communities (e.g. developers) so that the standards can be widely used once reaching a mature stage. The development of data standards is an iterative process and gaining community buy-in can be also a long process. We are confident that these workshops will play a crucial role in the developmental phase and in the consensus-building process.
Organisations
- EMBL - European Bioinformatics Institute (Lead Research Organisation)
- Springer Nature (Collaboration)
- eLife (Collaboration)
- Czech Technical University in Prague (Collaboration)
- UNIVERSITY OF MANCHESTER (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- ELIXIR (Collaboration)
- Rothamsted Research (Collaboration)
- The Committee on Data for Science and Technology (CODATA) (Collaboration)
- Heriot-Watt University (Collaboration)
- UNIVERSITY OF BIRMINGHAM (Collaboration)
- Taylor & Francis Group (Collaboration)
- European Molecular Biology Organisation (Collaboration)
- University College London (Collaboration)
- Datacite (Collaboration)
- GigaScience (Collaboration)
- Cambridge University Press (Collaboration)
- Faculty of 1000 (Collaboration)
- Newcastle University (Collaboration)
- Center for Open Science (COS) (Collaboration)
- Dutch Techcentre for Life Sciences (Collaboration)
- University of California, Los Angeles (UCLA) (Collaboration)
- Wiley (Collaboration)
- IMPERIAL COLLEGE LONDON (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- Elsevier (Collaboration)
- UNIVERSITY OF OXFORD (Collaboration)
- Hindawi (Collaboration)
- UNIVERSITY OF LIVERPOOL (Collaboration)
- UNIVERSITY OF DUNDEE (Collaboration)
- EARLHAM INSTITUTE (Collaboration)
Publications
Alter G
(2020)
The Data Tags Suite (DATS) model for discovering data access and use requirements.
in GigaScience
Amann RI
(2019)
Toward unrestricted use of public genomic data.
in Science (New York, N.Y.)
Amann RI
(2019)
Consent insufficient for data release-Response.
in Science (New York, N.Y.)
Ashrafian H
(2021)
Metabolomics: The Stethoscope for the Twenty-First Century.
in Medical principles and practice : international journal of the Kuwait University, Health Science Centre
Austin CC
(2020)
Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group.
in Wellcome open research
Baker NA
(2013)
Standardizing data.
in Nature nanotechnology
Bandrowski A
(2016)
The Ontology for Biomedical Investigations.
in PloS one
Batista D
(2022)
Machine actionable metadata models.
in Scientific data
Brinkman R
(2010)
Modeling biomedical experimental processes with OBI
in Journal of Biomedical Semantics
Charbonneau AL
(2022)
Making Common Fund data more findable: catalyzing a data ecosystem.
in GigaScience
| Description | Maximised networking capability among standards developing groups in the life sciences |
| Exploitation Route | Increased networking capability among standards developing groups have subsequently led to the creation of the BioSharing effort (http://biosharing.org) and continue to provide a synergistic platform for stakeholders to interact |
| Sectors | Agriculture Food and Drink Digital/Communication/Information Technologies (including Software) |
| Description | To foster communications among stakeholders and around community standards |
| First Year Of Impact | 2011 |
| Sector | Agriculture, Food and Drink,Digital/Communication/Information Technologies (including Software),Pharmaceuticals and Medical Biotechnology |
| Impact Types | Cultural Policy & public services |
| Description | Advised NPG Scientific Data journal on its data policy |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Membership of a guideline committee |
| Impact | Increase in data publication and sharing via public, community-approved repositories |
| URL | http://www.nature.com/sdata/data-policies |
| Description | Advised Springer Nature on the data policy |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Membership of a guideline committee |
| URL | http://www.springernature.com/gp/group/data-policy/ |
| Description | Co-authored a review commissioned by the NIH Big Data to Knowledge Initiative on policies and framework to support open data and interoperability standards |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Membership of a guideline committee |
| URL | https://figshare.com/articles/New_draft_item/3795816/2 |
| Description | Co-authored a review commissioned by the Wellcome Trust focusing on interoperability standards for digital research outputs |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Membership of a guideline committee |
| URL | https://figshare.com/articles/Review_Interoperability_standards/4055496 |
| 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 "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 "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 | IMI Data Management and Standardization |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Influenced training of practitioners or researchers |
| URL | https://www.etriks.org/standards-starter-pack/ |
| 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 | Common Fund Data Ecosystem https://nih-cfde.org |
| Amount | £7,000,000 (GBP) |
| Funding ID | 3OT3OD025459-01S3 |
| Organisation | National Institutes of Health (NIH) |
| Sector | Public |
| Country | United States |
| Start | 03/2019 |
| End | 12/2020 |
| Description | EC - PHC-32-2014 - MultiMot |
| Amount | € 100,000 (EUR) |
| Funding ID | H2020-EU.3.1, 634107 |
| Organisation | European Commission |
| Department | Horizon 2020 |
| Sector | Public |
| Country | European Union (EU) |
| Start | 07/2015 |
| End | 07/2018 |
| Description | EC H2020 - INFRADEV-3-2015 - ELIXIR EXCELERATE |
| Amount | € 240,000 (EUR) |
| Organisation | European Commission |
| Department | Horizon 2020 |
| Sector | Public |
| Country | European Union (EU) |
| Start | 08/2015 |
| End | 08/2019 |
| Description | EINFRA-2015-1 - PhenoMeNal |
| Amount | € 600,000 (EUR) |
| Funding ID | H2020-EU.1.4.1.3, 654241 |
| Organisation | European Commission |
| Department | Horizon 2020 |
| Sector | Public |
| Country | European Union (EU) |
| Start | 08/2015 |
| End | 08/2018 |
| 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 | IMPRiND |
| Amount | € 4,000,000 (EUR) |
| Funding ID | IMI 116060 |
| Organisation | European Commission |
| Department | Innovative Medicines Initiative (IMI) |
| Sector | Public |
| Country | Belgium |
| Start | 01/2017 |
| End | 12/2021 |
| Description | NIH Big Data to Knowledge Initiative - CEDAR |
| Amount | $400,000 (USD) |
| Organisation | National Institutes of Health (NIH) |
| Sector | Public |
| Country | United States |
| Start | 06/2014 |
| End | 06/2018 |
| Description | NIH Big Data to Knowledge Initiative - bioCADDIE |
| Amount | $450,000 (USD) |
| Funding ID | 1U24AI117966-0 |
| Organisation | National Institutes of Health (NIH) |
| Sector | Public |
| Country | United States |
| Start | 09/2014 |
| End | 09/2017 |
| Description | NIH Data Commons: Cloud agnostic architecture to safely access, reuse indexed FAIR objects |
| Amount | £51,200 (GBP) |
| Funding ID | 1OT3OD025462-01 |
| Organisation | National Institutes of Health (NIH) |
| Sector | Public |
| Country | United States |
| Start | 09/2017 |
| End | 09/2018 |
| Description | NIH Data Commons: Development and implementation plan for community supported FAIR guidelines and metrics |
| Amount | £67,265 (GBP) |
| Funding ID | 1OT3OD025467-01 |
| Organisation | National Institutes of Health (NIH) |
| Sector | Public |
| Country | United States |
| Start | 09/2017 |
| End | 09/2018 |
| Description | NIH Data Commons: Facilitation center |
| Amount | £61,385 (GBP) |
| Funding ID | 1OT3OD025459-01 |
| Organisation | National Institutes of Health (NIH) |
| Sector | Public |
| Country | United States |
| Start | 09/2017 |
| End | 09/2018 |
| 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 | 07/2019 |
| End | 07/2023 |
| Description | eTRIKS |
| Amount | € 400,000 (EUR) |
| Funding ID | IMI 115446 |
| Organisation | European Commission |
| Department | Innovative Medicines Initiative (IMI) |
| Sector | Public |
| Country | Belgium |
| Start | 06/2014 |
| End | 06/2017 |
| Title | BioSharing |
| Description | Registry of standards and databases linked to data policies by funders and journals. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2011 |
| Provided To Others? | Yes |
| Impact | Launched in 2011, the BioSharing portal (https://biosharing.org) of interrelated standards, databases, and policies has 53,741 users and is a resource of the ELIXIR UK Node and the ELIXIR Interoperability Platform. Endorsed by a community of 68 organizations, including publishers (embedded in the data policies of 600 Springer Nature's journals, also PloS, EMBO press, BMJ, F1000Research, BioMedCentral, Oxford University Press, Wellcome Trust Open Research), standardization groups, and research data management support initiatives and libraries (such as those at JISC, Stanford, Cambridge and the Oxford Universities). |
| URL | http://biosharing.org/ |
| Title | ISA tools |
| Description | Tools to collect, annotate, store, share and publish datasets |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2010 |
| Provided To Others? | Yes |
| Impact | Running since 2007, the open source metadata reporting ISA software suite has a user base ranging from hundreds to thousands of users from diverse domains (http://isa-tools.org), and is a resource of the ELIXIR UK Node. Currently it is embedded in 27 public resources (institute-based, project/consortium-based or global repositories, including some based at EBI, in USA, Japan, China and Australia), supports two data-driven journals (Springer Nature Scientific Data, Oxford University Press GigaScience), and complements 9 internal data platforms (also at the FDA National Centre for Toxicological Resources and Janssen R&D)- http://www.isacommons.org. The extension of the ISA metadata representation format for nanotechnology applications became a formal ASTM standard in 2013. |
| URL | http://www.isa-tools.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 | 2019 |
| 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 | BioInvestigation Index |
| Description | Database for storing and searching experimental metadata, one of the ISA tools components |
| Type Of Material | Database/Collection of data |
| Year Produced | 2010 |
| Provided To Others? | Yes |
| Impact | There are several public, project-based and institutionally based databases that are powered by the BioInvestigation Index; these include the EBI MetaboLigths repositories and many others listed at: http://isacommons.org/ |
| URL | http://www.isa-tools.org/tools.html |
| 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 UK Node |
| Organisation | Earlham Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| Description | ELIXIR UK Node |
| Organisation | Heriot-Watt University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| Description | ELIXIR UK Node |
| Organisation | Imperial College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| Description | ELIXIR UK Node |
| Organisation | Newcastle University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| Description | ELIXIR UK Node |
| Organisation | Rothamsted Research |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| Description | ELIXIR UK Node |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| Description | ELIXIR UK Node |
| Organisation | University of Birmingham |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| Description | ELIXIR UK Node |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| Description | ELIXIR UK Node |
| Organisation | University of Dundee |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| Description | ELIXIR UK Node |
| Organisation | University of Edinburgh |
| Department | Edinburgh Genomics |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| Description | ELIXIR UK Node |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| Description | ELIXIR UK Node |
| Organisation | University of Liverpool |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| Description | ELIXIR UK Node |
| Organisation | University of Manchester |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| Description | ELIXIR UK Node |
| Organisation | University of Oxford |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Help create the ELIXIR UK Node |
| Collaborator Contribution | Contribute to the creation of the ELIXIR UK Node |
| Impact | Creation of a virtual entity that represents UK strengths in bioinformatics and provides a route for UK bioinformatics resources to participate in, and benefit from, ELIXIR. The Node is currently being formalized. |
| Start Year | 2012 |
| 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 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 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 | 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 | 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 | 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 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 | 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 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; 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 | Metadata and data standards, ISA and FAIRsharing - MAQC Society, Shanghai |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Plenary presentation on metadata and data standards, and FAIR principles from theory to practice with overview of exemplar activities. The use of FAIR to enable meaningful and intelligent data sharing and reuse is a hot topic of great interest to all stakeholders. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.pmgenomics.ca/maqcsociety/meeting_feb_2018 |
| Description | Metadata for machine: the work of ISA and FAIRsharing; GO-FAIR workshop, Leiden |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Our team showcased our preliminary work done to make machine-actionable metadata from standards in FAIRsharing that can be used as templated for ISA and other annotation tools. The creation of machine-actionable metadata from standards is key to enable FAIR data and is a hot topic. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.go-fair.org/resources/go-fair-workshop-series/metadata-for-machines-workshops/ |
| 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 | NERC DataTree |
| 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 | Undergraduate students |
| Results and Impact | Video to introduce the basic concepts of the FAIR principles, FAIR data management and FAIRsharing. The target audience for Data Tree is NERC funded PhD students and early career researchers, however, Data Tree will be an openly available resource. |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://datatree.org.uk/ |
| 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 | Short introduction to data readiness and FAIR data to lay audience |
| 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 | Media (as a channel to the public) |
| Results and Impact | A 1.30 min video to present my group's work on data readiness to a lay audience. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.research.ox.ac.uk/Article/2019-01-22-video-making-data-reusable |
| Description | The FAIR principles - theory and practices; IEBMC, Chengdu |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Policymakers/politicians |
| Results and Impact | The annual International Experimental Biology and Medicine Conference, co-organized by FDA USA and FDA China. My presentation has especially helped the local Chinese colleagues to familiarise with the FAIR principles and start to apply them at their institutions. |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://www.iebmc.org/s/IEBMC-Agenda-20180820.pdf |
| 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/ |