Towards Semantic Integration of Federated Research Data

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dc.identifier.uri Chamanara, Javad ger Kraft, Angelina ger Auer, Sören ger Koepler, Oliver ger 2019-08-27T13:47:32Z 2020-05-28T22:05:03Z 2019-05-28
dc.identifier.citation Chamanara, J.; Kraft, A.; Auer, S.; Koepler, O.: Towards Semantic Integration of Federated Research Data. In: Datenbank Spektrum 19 (2019), Nr. 2, S. 87-94. DOI: ger
dc.description.abstract Digitization of the research (data) lifecycle has created a galaxy of data nodes that are often characterized by sparse interoperability. With the start of the European Open Science Cloud in November 2018 and facing the upcoming call for the creation of the National Research Data Infrastructure (NFDI), researchers and infrastructure providers will need to harmonize their data efforts. In this article, we propose a recently initiated proof-of-concept towards a network of semantically harmonized Research Data Management (RDM) systems. This includes a network of research data management and publication systems with semantic integration at three levels, namely, data, metadata, and schema. As such, an ecosystem for agile, evolutionary ontology development, and the community-driven definition of quality criteria and classification schemes for scientific domains will be created. In contrast to the classical data repository approach, this process will allow for cross-repository as well as cross-domain data discovery, integration, and collaboration and will lead to open and interoperable data portals throughout the scientific domains. At the joint lab of L3S research center and TIB Leibniz Information Center for Science and Technology in Hanover, we are developing a solution based on a customized distribution of CKAN called the Leibniz Data Manager (LDM). LDM utilizes the CKAN’s harvesting functionality to exchange metadata using the DCAT vocabulary. By adding the concept of semantic schema to LDM, it will contribute to realizing the FAIR paradigm. Variables, their attributes and relationships of a dataset will improve findability and accessibility and can be processed by humans or machines across scientific domains. We argue that it is crucial for the RDM development in Germany that domain-specific data silos should be the exception, and that a semantically-linked network of generic and domain-specific research data systems and services at national, regional, and organization levels should be promoted within the NFDI initiative. ger
dc.language.iso eng ger
dc.publisher Berlin : Springer
dc.relation.ispartofseries Datenbank Spektrum 19 (2019), Nr. 2 ger
dc.rights Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. ger
dc.subject Semantic interoperation eng
dc.subject Ontology development eng
dc.subject (Meta)Data harmonization eng
dc.subject.ddc 004 | Informatik ger
dc.subject.ddc 020 | Bibliotheks- und Informationswissenschaft ger
dc.title Towards Semantic Integration of Federated Research Data ger
dc.type Article ger
dc.type Text ger
dc.relation.essn 1610-1995
dc.relation.issn 1618-2162
dc.relation.doi 10.1007/s13222-019-00315-w
dc.bibliographicCitation.firstPage 87
dc.bibliographicCitation.lastPage 94
dc.description.version acceptedVersion ger
tib.accessRights frei zug�nglich

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