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FAIR Digital Object Ecosystem Testbed

Pfeil, Andreas; Jejkal, Thomas; Chelbi, Sabrine; Stotzka, Rainer

Abstract (englisch):
This poster describes the development of a testbed for FAIR Digital Objects, consisting of an ecosystem of interacting services to demonstrate mandatory and optional FAIR use cases and to identify gaps in the specifications.
Preprocessing data for research, like finding, accessing, unifying or converting, takes up to 80% of research time spans. The FAIR (Findability, Accessibility, Interoperability, Reproducibility) principles aim to support and facilitate the reuse of data, and are therefore tackling this problem. A FAIR Digital Object (FAIR DO) is one way to capsule research data resources of all kinds (raw data, metadata, software, ...) so they are following the FAIR principles. A FAIR DO ecosystem can be regarded as a set of services to enable the creation and use of such FAIR DOs. Besides basic functionality like PID management and PID record validation, it may also offer assistive services, i.e. for the automated building of a search index to allow reverse-searching of PIDs. To establish a FAIR DO ecosystem, it must reach a certain level of maturity in order to be used productively.

To identify gaps in specifications and concepts during development and use, as well as to demonstrate necessary and optional use cases, we developed a testbed for FAIR use cases as a part of the HMC project, which is easy to set up and run on everyday computers. ... mehr

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Volltext §
DOI: 10.5445/IR/1000131613
Veröffentlicht am 23.04.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Steinbuch Centre for Computing (SCC)
Publikationstyp Poster
Publikationsdatum 20.04.2021
Sprache Englisch
Identifikator KITopen-ID: 1000131613
Veranstaltung 17th RDA Plenary Meeting (2021), Online, 20.04.2021 – 23.04.2021
Schlagwörter FAIR, Findable, Accessible, Interoperable, Reproducible, Testbed, Metadata, Record, Kernel Information Record, Collection, Registry, Index, API, Software
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