Meeting title
Domain specific FAIR – do the requirements need adaptations in different disciplinary contexts? (Remote Access Instructions)
Meeting room: Moremi 1
Collaborative session notes
https://docs.google.com/document/d/1iDy8aRMjuDmTemXlP5vU1qtEeYYyT5h3tpvt1Plw5EY/edit?usp=sharing
Short introduction describing the activities and the scope of the group
The Domain Repositories Interest Group brings together active data repositories that serve specific scientific disciplines. Domain repositories provide archiving services tailored to the needs of scientific communities, and mediate between domain scientists and rapid changes in information and data science. All domain repositories have shared interests in data curation, dissemination, preservation, and institutional sustainability. This interest group is providing a forum for sharing practical experience and developing joint projects. The IG also develops training and mentoring relationships for new and emerging repositories.
The Domain Repositories IG aims to enhance communication with other RDA IGs and WGs to inform and align domain repositories with emerging best practices relevant to the data life cycle, and to represent the interests of domain repositories in those groups. Members of this IG participate in many other RDA venues, like the Data Citation WG, Metadata IG, RDA/WDS Certification of Digital Repositories IG, and Data Management Planning related WGs. The Domain Repository IG provides a venue in which repositories can identify and prioritize common problems for action by working groups at RDA and other organizations.
Additional links
Group page: https://www.rd-alliance.org/groups/domain-repositories-interest-group.html
Case statement: https://www.rd-alliance.org/filedepot/folder/132?fid=353
Previous Meetings: https://www.rd-alliance.org/ig-domain-repositories-rda-9th-plenary-meeting
Meeting objectives
The requirement of data to be FAIR -- findable, accessible, interoperable, and re-usable -- is by now widely accepted. Domain repositories have been among the earliest adopters and promoters of FAIR data. But as FAIRness receives closer scrutiny, it is increasingly clear that what data are FAIR is discipline specific. While some characteristics of FAIR data, particularly those relating to F and A, are universal, others are highly context and domain specific. The original FAIR guiding principles explicitly point to “domain-relevant community standards (R1.3.)”, but arguably the entire field of interoperability and reusability requires domain-specific attributes and knowledge.
This panel seeks to leverage the ongoing work of the Fitness for Use WG, which has been addressing questions of interoperability and reusability, and combine it with the perspective of the Domain Repositories interest groups. As FAIR data are moving towards metrics of FAIRness, this crucial conversation will investigate who determines, and how, which standards of data and metadata are sufficient for I and R in a given domain and how such determinations can be made.
Meeting agenda
- Welcome and introduction of topic (5 minutes)
- WDS/RDA WG Assessment of Data Fitness for Use: Presentation by Jonathan Petters (15 minutes)
- Panel: short presentations by panelists about FAIR data in their domain (35 minutes - 5 minutes each):
- Leslie McIntosh, Rensselaer Polytechnic Institute, USA (Health Science)
- Danie Kinkade, Woods Hole Oceanographic Institution, USA (Earth, Space, & Environmental Sciences)
- Ian Bruno, Cambridge Crystallographic Data Centre, UK (Chemistry/Crystallography)
- Ray Plante, National Institute of Standards & Technology, USA (Material Science)
- Wouter Addink, Naturalis, Biodiversity Center, Netherlands (Life Science)
- Francoise Genova, Strasbourg Astronomical Data Centre, France (Astronomy)
- Amy Pienta, Inter-university Consortium for Political and Social Research (Social Sciences)
- Discussion (25 minutes)
Audience: All are welcome, but the session will be especially relevant for people interested in the implementation of FAIR principles in research data infrastructure, including managers and curators of data repositories, publishers, funders, and domain scientists. Participants should be familiar with the FAIR data principles.
Group chair serving as contact person
Kerstin Lehnert
Type of meeting
Working meeting
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