FAIR StRePo: making Standards, Repositories, and Policies FAIR
Active GO FAIR Implementation Network
In this data-driven age, governments, funders and publishers expect greater transparency and reuse of research data, as well as greater access to, and preservation of, the data that supports research findings. Widespread reuse requires greater responsibility from data producers to make data FAIR. When a standard or a best practice is considered mature by a community and standard-compliant databases and repositories become available, these resources need to be provided in an accessible way to the relevant stakeholder community, who in turn need to recommend the implementation (e.g. scientific communities and unions, in data policies of journals, publishers, funders and other organizations) and where possible the use of these standards and databases to facilitate a high-quality FAIR research cycle. To foster a culture change where the (re)use of best practices, standards, databases and repositories for FAIRer data is not only commonplace but routine, we need to reduce the stakeholder knowledge gap across these resources, and to better promote their existence, value, and use.
Main purpose and objectives
This Implementation Network (IN) serves as a central integration and cross-fertilisation point for the GO FAIR community in particular, but also for the reuse of FAIR standards, repositories and data policies in general. Specifically, the IN works towards to making standards, repositories of digital objects (datasets, code, workflow, articles etc.) and data policies themselves FAIR, as well as creating informative and educational material, guidance, tools and services to serve producers and users of these resources. This IN touches and interoperates with a number of other GO FAIR INs.
To achieve these objectives, the IN will leverage and expand on the already existing community-driven work of FAIRsharing. FAIRsharing is already involved in some GO FAIR activities that catalyse the FAIRification of data and services.
- Map the landscape of standards, repositories and data policies across and related to the GO FAIR INs.
- Curate metadata associated with these digital objects and describe the relationships between them.
- Work with OPEDAS IN to provide support to the FAIR metrics to assess the FAIRness of digital objects.
- Work as part of GO TRAIN to provide assistance in the generation of a FAIR curriculum.
- Work with the Data Stewardship Wizard team to provide support for data management.
- Work as regular collaborators in the ongoing Metadata for Machine (M4M) Workshop series, to help self-identified communities to define and use domain-relevant community metadata standards in machine readable form for FAIRification and validation purposes.
- Collaborate with other efforts to standardize the selection and adoption of standards and repositories in data policies.
Dowload the Manifesto here
Are you interested in joining FAIR StRePo IN? Please express your interest by filling in the form below. Your request will be forwarded to the IN Coordinator(s) who will get in touch as soon as possible.
Peter McQuilton, representative of FAIRsharing
Susanna-Assunta Sansone, representative of FAIRsharing
Philippe Rocca-Serra, representative of the GO FAIR Metabolomics IN
Simon Coles, representative of the GO FAIR Chemistry IN
Ben Schaap, representative of the GO FAIR Food System IN
Mateusz Kuzak, representative of the GO FAIR FAIR Curriculum IN
Mark Wilkinson, representative of the FAIR Metrics.org and GO FAIR OPEDAS IN
Simon Hodson, CODATA and representative of the GO FAIR GO Train
Hugh Shanahan, representative of the GO FAIR GO Train
Robert Pergl, representative of the Data Stewardship Wizard
Oya Beyan, representative of the Personal Health Train IN