DFIG FAIR DO: Project Share May 27

20 May 2021

Dear all,
We would like to invite to our next meeting of “RDA Data Fabric IG: FAIR Digital Object”.
Project Share: 2021, May 27, UTC 15:00
Meeting room: https://kit-lecture.zoom.us/j/64010304690
Meeting ID: 640 1030 4690
A FAIR Digital Object Ecosystem Testbed
Andreas Pfeil, Karlsruhe Institute of Technology
Thomas Jejkal, Karlsruhe Institute of Technology
This talk introduces a testbed [1] for creating and managing FAIR Digital Objects. The testbed has been developed in the context of the Helmholtz Metadata Collaboration (HMC) Platform [2], which is a long-term activity with the goal to unify metadata management in the Helmholtz Association [3] of German research centres. To achieve this goal, FAIR Digital Objects have been identified as potential commonality between all research fields of the Helmholtz Association. This assumption has now to be proven by implementing the concept of FAIR DOs for different application cases. The testbed integrates an ecosystem of technical services to demonstrate their interplay and to realize generic FAIR use cases.
It is designed in such a way that it is easy to set up and runs on everyday computers. Currently, the testbed enables PID creation, PID record management and validation using a PIT service implementation following the RDA PID Information Types (PIT) Working Group Recommendations [4], and a Data Type Registry provided by the ePIC consortium and hosted at GWDG in Göttingen [5]. It also features automated indexing of PID records as proof-of-concept and provides an implementation of the Collection API specification, which was published by the corresponding RDA Research Data Collections Working Group [6].
[1] https://github.com/kit-data-manager/testbed4inf
[2] https://helmholtz-metadaten.de/en
[3] https://www.helmholtz.de/
[4] https://www.rd-alliance.org/group/pid-information-types-wg/outcomes/pid-...
[5] http://dtr-test.pidconsortium.eu/#urls/intro.html
[6] https://www.rd-alliance.org/groups/research-data-collections-wg.html
Collaborative notes:
We are looking forward to the presentation and the discussions.
Karlsruhe Institute of Technology (KIT)
Steinbuch Centre for Computing (SCC)
Dr. Rainer Stotzka
Data Exploitation Methods
Hermann-von-Helmholtz-Platz 1
76344 Eggenstein-Leopoldshafen
fon: +49 721 608 2 4738
E-mail: ***@***.***