FAIR Digital Objects (FAIR DOs) describe a concept of virtual data objects that has been developed and used by RDA in various Working and Interest Groups. FAIR DOs may represent data, software or other research resources. They are uniquely identified by a Persistent Identifier (PID) and metadata rich enough to enable them to be reliably found, used and cited. An important characteristic of FAIR DOs is that they are not only machine-readable but also machine-actionable. FAIR DOs are currently discussed world-wide, in many RDA groups, in the European Open Science Cloud (EOSC), as well as in other initiatives with the need to design and develop large integrative research data infrastructures to facilitate findability, accessibility, interoperability and reusability (FAIR).
The objectives of the meeting are:
- Introducing the group
- Motivate people to become contributing members
- Working plan for the next 6 months
- Collection of technical components contributing to FAIR Digital Objects
Collaborative Notes Link:
https://docs.google.com/document/d/1g_kgWCbn_1d6zgq2wo6B3KgB5NQXjIe5Ftg3...
- Short introduction to the group [15 minutes]
- Election of new co-chairs [10 minutes]
- Introduction of FAIR Digital Objects [20 minutes]
- Survey the landscape: → interactive session [30 minutes]
- Summary of the results [10 minutes]
All RDA members interested in FAIR Digital Objects.
The Data Fabric IG (DFIG) identified that working with data in the many scientific labs and most probably also in other areas such as industry and governance is highly inefficient and too costly. Excellent scientists working on data intensive science tasks are forced to spend about 75% of their time to manage, find, combine and curate data. What a waste of time and capacity. The DFIG is therefore looking at the data creation and consumption cycle to identify opportunities to optimize the work with data, to place current RDA activities in the overall landscape, to look at what other communities are doing in this area and to foster testing and adoption of RDA outputs. The goal of DFIG finally is to identify common components and define their characteristics and services that can be used across boundaries in such a way that they can be combined to solve a variety of data scenarios such as replicating data in federations, developing virtual research environments, and automating regular data management tasks.
For more information see https://www.rd-alliance.org/group/data-fabric-ig/wiki/rda-ig-data-fabric...
The RDA Data Fabric Interest Group was founded in 2014. In 2020 a sub-group formed to discuss FAIR Digital Objects. FAIR digital objects have been an important topic from the beginning. The group serves as a communication and coordination platform aiming at
- Creating international consensus about the specification of FAIR DOs,
- Operation model (identifying processes) of FAIR DOs, and
- Exchanging implementation details.
In monthly virtual conferences and project shares the FAIR DOs are performed and information shared in the wiki https://www.rd-alliance.org/group/data-fabric-ig/wiki/rda-ig-data-fabric....
Scope of the group:
https://www.rd-alliance.org/group/data-fabric-ig.html
https://www.rd-alliance.org/group/data-fabric-ig/wiki/rda-ig-data-fabric...
Summary of virtual layer recommendations: http://dx.doi.org/10.15497/RDA00026
Publications collection:
https://www.rd-alliance.org/group/data-fabric-ig/wiki/fair-do-publications
RDA Recommendations contributing to FAIR DOs:
https://www.rd-alliance.org/group/data-fabric-ig/wiki/fair-do-rda-recomm...
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