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FAIR Data Commons / Essential Services and Tools for Metadata Management Supporting Science

Stotzka, Rainer ORCID iD icon 1; Abdildina, Gulzaure 1; Aversa, Rossella ORCID iD icon 1; Blumenröhr, Nicolas ORCID iD icon 1; Chelbi, Sabrine 1; Duda, Leonhard; Ernst, Felix ORCID iD icon 1; Frank, Laura ORCID iD icon 1; Götzelmann, Germaine ORCID iD icon 1; Hartmann, Volker ORCID iD icon 1; Inckmann, Maximilian ORCID iD icon 1; Jejkal, Thomas ORCID iD icon 1; Jha, Vandana ORCID iD icon 1; Joseph, Reetu ORCID iD icon 1; Ost, Philipp ORCID iD icon 1; Pfeil, Andreas ORCID iD icon 1; Shakeel, Yusra ORCID iD icon 1; Soysal, Mehmet 1; Tonne, Danah ORCID iD icon 1; ... mehr

Abstract (englisch):

A sophisticated ensemble of services and tools enables high-level research data and research metadata management in science. On a technical level, research datasets need to be registered, preserved, and made interactively accessible using repositories that meet the specific requirements of scientists in terms of flexibility and performance. These requirements are fulfilled by the Base Repo and the MetaStore of the KIT Data Manager Framework.
In our data management architecture, data and metadata are represented as FAIR Digital Objects that are machine actionable. The Typed PID Maker and the FAIR Digital Object Lab provide support for the creation and management of data objects. Other tools enable editing of metadata documents, annotation of data and metadata, building collections of data objects, and creating controlled vocabularies.
Information systems such as the Metadata Standards Catalog and the Data Collections Explorer help researchers select domain-specific metadata standards and schemas and identify data collections of interest.
Infrastructure developers search the Catalog of Repository Systems for information on modern repository systems, and the FAIR Digital Object Cookbook for recipes for creating FAIR Digital Objects.
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Volltext §
DOI: 10.5445/IR/1000151569
Veröffentlicht am 19.10.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Poster
Publikationsdatum 05.10.2022
Sprache Englisch
Identifikator KITopen-ID: 1000151569
HGF-Programm 46.21.05 (POF IV, LK 01) HMC
Weitere HGF-Programme 46.21.01 (POF IV, LK 01) Domain-Specific Simulation & SDLs and Research Groups
Veranstaltung Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 05.10.2022 – 06.10.2022
Projektinformation NFFA-Europe (EU, H2020, 654360)
Schlagwörter Metadata, research data management, FAIR Digital Object
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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