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A FAIR Digital Object Lab Software Stack

Pfeil, Andreas ORCID iD icon 1; Jejkal, Thomas [Beteiligte*r] ORCID iD icon 1; Chelbi, Sabrine [Beteiligte*r] ORCID iD icon 1; Blumenröhr, Nicolas [Beteiligte*r] ORCID iD icon 1
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Preprocessing data for research, like finding, accessing, unifying or converting, takes up to large parts of research time spans. The FAIR (Findability, Accessibility, Interoperability, Reusability) principles aim to support and facilitate the (re)use of data, and will contribute to alleviating this problem. A FAIR Digital Object (FAIR DO) captures research data resources of all kinds (raw data, metadata, software, …) in order to align them with the FAIR principles.

FAIR Digital Objects are expressive, machine-actionable pointers to research data. As such, each FAIR DO points to one research data object. Additionally, they may link to other FAIR DOs, explaining their relations. The FAIR Digital Object Lab is an extendable and adjustable architecture (a software stack) for generic FAIR Digital Object tasks. It consists of a set of interacting components with services and tools for creation, validation, discovery, curation, and more. In this talk, we will present our plans for the FAIR DO Lab and explain our decisions, which are mostly based on the experience gained in previous developments.

The creation and maintenance of FAIR DOs is not trivial, as their persistent identifiers (PIDs) contain typed record information. ... mehr


Volltext §
DOI: 10.5445/IR/1000154707
Veröffentlicht am 10.03.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Vortrag
Publikationsdatum 27.10.2022
Sprache Englisch
Identifikator KITopen-ID: 1000154707
HGF-Programm 46.21.05 (POF IV, LK 01) HMC
Veranstaltung 1st International Conference of FAIR Digital Objects (FDO 2022), Leiden, Niederlande, 26.10.2022 – 28.10.2022
Externe Relationen Abstract/Volltext
Schlagwörter FAIR Digital Objects, Tools, Persistent Identifiers, Kernel Information Profiles, Research Environments, Helmholtz Metadata Collaboration Platform (HMC)
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KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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