BioSharing and the National Bioscience Database Center - joining forces to better serve the research community worldwide
Lead Research Organisation:
University of Oxford
Department Name: Engineering Science
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
- University of Oxford (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)
- Massachusetts Institute of Technology (Collaboration)
- Research Data Alliance (RDA) (Collaboration)
- AfricArXiv (Collaboration)
- ELIXIR (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)
- University of California, Los Angeles (UCLA) (Collaboration)
- Wiley (Collaboration)
- Elsevier (Collaboration)
- PLOS (Collaboration)
- Hindawi (Collaboration)
- ORCID (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- UCL Press (Collaboration)
- Japan Science and Technology Agency (Project Partner)
Publications
Wilkinson MD
(2019)
Evaluating FAIR maturity through a scalable, automated, community-governed framework.
in Scientific data
Wilkinson M
(2017)
A design framework and exemplar metrics for FAIRness
Shi L
(2017)
The international MAQC Society launches to enhance reproducibility of high-throughput technologies.
in Nature biotechnology
Sansone SA
(2018)
High-quality science requires high-quality open data infrastructure.
in Scientific data
Sansone SA
(2019)
FAIRsharing as a community approach to standards, repositories and policies.
in Nature biotechnology
| Description | FAIRsharing is an informative and educational resource that describes and interlinks community-driven standards (such as minimum reporting guidelines, terminology artifacts, models/formats and identifier schemas), databases (both knowledgebases and repositories), and data policies. FAIRsharing monitors their evolution, tracking which standards are implemented in which databases, and which resources are recommended by journal and funder data policies. FAIRsharing mission is to: provide guidance to consumers, so accelerating the discovery, selection and use of relevant data and metadata standards, databases, and data policies with confidence; and help producers to increase the visibility of their resource outside of their immediate discipline, increasing the likelihood of their reuse, adoption and citation. FAIRsharing already has a number of international users, as well as the number of journals, libraries and research data management groups recommending FAIRsharing to their authors, users and researchers, and number of members joining the FAIRsharing Working Group (WG) under the Research Data Alliance (RDA). As part of this award, we work to map and align (where appropriate) database/repository metadata fields between FAIRsharing and the NBDC Integbio catalogue, towards a fully synchronised content transfer workflow to ensure database/repository information is accurate and identical across the two sites. Ultimately, these links will better serve the stakeholder community world-wide. |
| Exploitation Route | As results of this award, we will be able to provide the community with unfettered access to the FAIRsharing registry via our API or the Integbio catalogue and the Life Science Database Cross Search (https://biosciencedbc.jp/dbsearch/ - Japanese only). We are also working with Integbio to provide SPARQL and API access to their data to FAIRsharing, and we have started to consider FAIR assessment metrics and how we can develop and display these on our respective websites. Combine these functionalities will better serve the stakeholder community world-wide, providing richer, interlinked and machine-readable content for the users. This will allow, for example, a tool to create DMP plans can better access and surface a list of relevant databases (and related standards) to the users for them to select from. |
| Sectors | Digital/Communication/Information Technologies (including Software),Education |
| Description | FAIRsharing (relaunched in 2017 from BioSharing) collaborates with and is used by a variety of major FAIR-driven global initiatives, research and infrastructure programmes, and other resources and services, with the aim of being an interoperable component in an ecosystem of complementary services. In this page we highlight the new collaborations and achievements, which has also been possible via the collaboration with the NBDC colleagues: https://fairsharing.org/communities |
| First Year Of Impact | 2017 |
| Sector | Digital/Communication/Information Technologies (including Software) |
| Impact Types | Cultural,Policy & public services |
| Description | FAIR Cookbook incorporated into the Horizon Europe - Health - Guidelines |
| 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/wp-call/2023-2024/wp-... |
| 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 "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 | 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 | 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 | TIER2 |
| Amount | € 1,791,500 (EUR) |
| Funding ID | 101094817 |
| Organisation | European Commission |
| Sector | Public |
| Country | European Union (EU) |
| Start | 01/2023 |
| End | 12/2025 |
| 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 | 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 | FAIRsharing functionalities |
| Description | Model update (https://blog.fairsharing.org/?p=298); use of ROR for organizations (https://blog.fairsharing.org/?p=385); downloadable seacrh results (https://blog.fairsharing.org/?p=292); new icons in each record page (https://blog.fairsharing.org/?p=244); new organization page (https://blog.fairsharing.org/?p=239) |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Better searchers, visualisation and association of records to organization; all this helps users to better register and select standards, databases and policies in FAIRsharing. |
| URL | https://blog.fairsharing.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 | FAIRsharing Community Champions Programme |
| Organisation | Research Data Alliance (RDA) |
| Country | Global |
| Sector | Charity/Non Profit |
| PI Contribution | Under the auspices of RDA Europe and EOSC Future, FAIRsharing has now officially launched our new Community Curation Programme: https://fairsharing.org/community_champions. This Programme creates a collaborative environment where domain experts are selected to oversee certain areas within the FAIRsharing registry in return for a number of professional benefits. The domain and discipline experts of the FAIRsharing Community Champions Programme: 1 . act as advocates to promote the value of standards, databases and policies for digital objects (incl. data, software). 2 . create educational material escribing these resources helping researchers and other stakeholders to find, use and adopt them. 3 . enrich the content of FAIRsharing, adding and enhancing the description and discoverability of these resources. The FAIRsharing Community Champions put their expertise into action in one of more disciplines or area of activities, according to their interest, and are credited for their contribution via visible attribution in their ORCID and FAIRsharing profiles. Their contribution to and engagement with the FAIRsharing team gives them more knowledge about the wealth of standards (terminologies, models/formats, guidelines, identifier schema), databases (repositories and knowledge bases) and policies (by institutions, funders, journals and other stakeholders) relevant to them. |
| Collaborator Contribution | RDA and EOSC-Future have provide some seed funds and an umbrella to advertise it and engage with the community at large. |
| Impact | The first 18 Community Champtions, across all disciplines, are in place: https://fairsharing.org/community_champions/our_champions and have contributed to the creation of Educational material https://fairsharing.org/educational |
| Start Year | 2022 |
| Description | FAIRsharing and DCC |
| Organisation | University of Edinburgh |
| Department | Digital Curation Centre (DCC) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | FAIRsharing and the DCC (on behalf of the FAIRsFAIR project) have collaborated to align the following policy metadata resources: (i) FAIRsharing policy record metadata; (ii) The FAIRsFAIR FAIR Data Policy Checklist and related structured policy description template, and (iii) RDA: Developing a Research Data Policy Framework for All Journals and Publishers (referred hereafter as "RDA Journal Policy Features"). FAIRsharing has curated its policy records |
| Collaborator Contribution | DCC (in FAIRsFAIR project) have developed the checklist. |
| Impact | As a result of this collaboration, all checklist fields and RDA-endorsed policy features within the scope of FAIRsharing are available within FAIRsharing policy records. This creates a FAIR data policy "workflow" from a) FAIR Data Policy Checklist to b) deposition of the policy and assignment of a DOI, through to c) submission of that policy into FAIRsharing. This process helps create FAIR-aligned data policies, as FAIR metadata will be accessible to both humans (through policy publication and the creation of the FAIRsharing record) and machines (through the FAIRsharing API). The result will be data policies that are more findable, accessible and re-usable. |
| Start Year | 2022 |
| 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 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 has become an ORCID trusted organisation |
| Organisation | ORCID |
| Country | United States |
| Sector | Charity/Non Profit |
| PI Contribution | FAIRsharing has partnered with the Bodleian Library and the University of Oxford to become a trusted organisation within ORCID. This has improved user authentication in FAIRsharing and has paved the way for future work. |
| Collaborator Contribution | Access to the ORCID member API also offers the possibility of further integration, and we are currently investigating these opportunities. |
| Impact | multi-disciplinary: all disciplines |
| Start Year | 2021 |
| 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 | 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 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 - Edinburgh Open Research Even |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | I presented the FAIR Principles and FAIRification as a Team Sport |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://edopenresearch.com/edinburghopenresearchconference/ |
| Description | FAIR and FAIRsharing - European Public Health |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Pre-conference: What is metadata? Common standards and properties. Pre-conference helped participants to familiarise with the concepts and key standards and properties of metadata. I presented FAIR and how FAIRsharing can help. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://ephconference.eu/pre-conference-programme-441 |
| 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, FAIRsharing and FAIRcookbook - GSRS22 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The 12th Global Summit on Regulatory Science (GSRS22) was co-hosted by Singapore Food Agency and the Global Coalition for Regulatory Science Research. FAIR was at the core of the Bioinformatics Workshop. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://gcrsr.net/2022-gsrs/ |
| Description | FAIR, FAIRsharing and FAIRcookbook - MAQC Society |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Annual meeting of the MAQC Society held at the USA FDA Headquarters to engage with policy makes on FAIR matters |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://themaqc.org/conferences/ |
| 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 (previously BioSharing) and Integbio Hackathon - Tokyo |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Drs McQuilton and Izzo, in my team, visited the National Bioscience Database Center's Integbio team to align database fields, map the data and work out the logistics of sharing data via the FAIRsharing (previously named BioSharing) API and NBDC's SPARQL endpoint. This work will result in a few additional fields in our database records, along with extra fields for Integbio, as we synchronise our data. We now continue to work on integrating the data for approximately 1000 databases from Integbio into FAIRsharing, and a mechanism to ensure easy, semi-automatic synchronisation of data between the two resources. |
| Year(s) Of Engagement Activity | 2017 |
| URL | http://oerc.ox.ac.uk/news/tokyo-visit |
| Description | FAIRsharing - EOSC provider days |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The Provider Days has offered a crash course on what can be made available through the EOSC portal and marketplace and how this can be done. Above all, it has showcased how users can benefit from onboarding your research resources, tools and services. Experts presented which tools and support for providers are already available and what features will be launched in the coming months. I presented FAIRsharing. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://eoscfuture.eu/eventsfuture/provider-days/ |
| 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 Interview by ROR |
| 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 | FAIRsharing featured as in the ROR Case Studies series: interview to Allyson Lister, Content and Community Lead for FAIRsharing, on how and why FAIRsharing used ROR to help make organizations first-class citizens in their data model. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://ror.org/blog/2023-01-24-fairsharing-case-study/ |
| Description | FAIRsharing and FAIR Cookbook - ELIXIR AHM22 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Research Data Management session with discussion on how to link up relevant ELIXIR resources |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://elixir-europe.org/events/elixir-all-hands-2022 |
| Description | FAIRsharing and FAIR Cookbook - 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 | The EOSC Symposium is the main EOSC annual event, and I presented FARshaing, which is an EOSC recommended resource, and FAIR Cookbook, as examples of collaborative and FAIR-enabling resources. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://events.eoscfuture.eu/symposium2022/programme |
| 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 | International Workshop on Sharing, Citation and Publication of Scientific Data across Disciplines - presentation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr McQuilton in my team gave a keynote presentation on FAIRsharing (previously named BioSharing) at this Workshop on "Describing and Connecting Standards, Databases and Policies Across Disciplines" and the collaboration between FAIRsharing and the FAIRsharing and the Japanese National Bioscience Database Center's Integbio to map and share life science database information. |
| Year(s) Of Engagement Activity | 2017 |
| URL | http://polaris.nipr.ac.jp/~pseis/data.ws-2017/main.dwt |
| 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 | NLM Curation at Scale |
| 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 | To foster discussion on the critical need for increased curation speed, scale, and reliability |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.nlm.nih.gov/curationworkshop2022/agenda.html |
| 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 | 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 | The FAIR movement - Oxford Open Data Week |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Postgraduate students |
| Results and Impact | An update to the Oxford staff and students on developments in the UK, EU and internationally on FAIR-related activities and projects, as part of the Oxford Open Data Week. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://talks.ox.ac.uk/talks/id/12039464-4d00-4951-bf42-2a8e0f185fa7/ |
| 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... |