{"id":3885,"date":"2019-02-26T11:05:37","date_gmt":"2019-02-26T10:05:37","guid":{"rendered":"https:\/\/www.go-fair.org\/?page_id=3885"},"modified":"2022-01-26T14:56:28","modified_gmt":"2022-01-26T13:56:28","slug":"fair-strepo","status":"publish","type":"page","link":"https:\/\/www.go-fair.org\/implementation-networks\/overview\/fair-strepo\/","title":{"rendered":"FAIR StRePo"},"content":{"rendered":"

FAIR StRePo: making St<\/strong>andards, Re<\/strong>positories, and Po<\/strong>licies FAIR<\/em><\/p>\n

Active GO FAIR Implementation Network<\/strong>
\nIn 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.<\/p>\n

Main purpose and objectives<\/strong>
\nThis 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.
\nTo achieve these objectives, the IN will leverage and expand on the already existing community-driven work of FAIRsharing<\/a>. FAIRsharing is already involved in some GO FAIR activities that catalyse the FAIRification<\/a> of data and services.<\/p>\n

Main tasks<\/strong><\/p>\n