Implementation and adoption of the FAIR data principles
The FAIRsFAIR project has created implementation and adoption stories of the FAIR data principles. DANS has contributed to this both by compiling parts of a guide for research performing organisations to establish the capabilities to put the FAIR data principles in practice, and, by reporting on use cases in which the FAIR data principles are implemented.
The overall purpose of ACME-FAIR is to help those managing and delivering relevant professional services to self-assess how they are enabling researchers and their colleagues to do just that. The guide consists of seven parts. DANS is involved in the compilation of all of them, but has a prominent role in the guide on “ensuring trustworthy curation” and the guide on “selecting data, services, and repositories for FAIR” as these topics have a close relation with the competencies of DANS. The guides provide concrete actions to carry out by organisations and for each action a description of a related maturity level is given. So the guide contains thorough theoretical foundations connected to practical actions.
FAIRsFAIR also has compiled 22 implementation and adoption stories. DANS is actor in an implementation story that describes the collaboration between Radboud University and DANS in which DANS provides long-term data storage for this university contributing to the FAIRness of their data. Moreover, DANS employees are involved as co-author of six other implementation and adoption stories.
1. An implementation story showcasing an extensive Open Science Programma of Utrecht University that includes support for FAIR practices.
2. An implementation story looking at research data management service provision at the University of Manchester. It coves how their service offering has developed over time in response to researcher needs, changes in the RDM environment, and the drive to help researchers make their data more FAIR.
3. An implementation story reporting on the work at University College Cork (UCC) in Ireland on issuing a digital badge to aid the recognition of skills gained in Responsible Conduct of Research.
4. An implementation story related to defining interoperability frameworks. It reports on the SSHOC Reference Ontology (SSHOCro) developed in the context of the Social Sciences and Humanities Open Cloud (SSHOC) project. The goal of the SSHOCro is to establish a common framework for organising knowledge around all steps in the research data life cycle within the SSH domain.
5. An implementation story that describes MEMIC, the center for data and information management at the Faculty of Health, Medicine and Life Sciences of Maastricht University in The Netherlands. The MEMIC team provides professional support for research data management (RDM) in the faculty as well as in the Maastricht academic hospital MUMC+. MEMIC employs data managers, data stewards (i.e. senior data managers), research software engineers, and data support staff.
6. The adoption story “FAIR + Time: Preservation for a Designated Community” that is published in the form of a working paper. It seeks to present key concepts and expand on them to specify the standards and assessments required for an interoperable ecosystem of FAIR data preserved for the long term in generalist and specialist FAIR-enabling trustworthy digital repositories (TDR) for a defined designated community of users.
The guides and stories are created in the framework of the FAIRsFAIR project. Read more about it here.
FAIR and Open dataCollaborations