Towards Semantic Integration of Federated Research Data

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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: https://doi.org/10.1007/s13222-019-00315-w

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/5242

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Sum total of downloads: 41




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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.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: article
Publishing status: acceptedVersion
Issue Date: 2019-05-28
Appears in Collections:Zentrale Einrichtungen

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pos. country downloads
total perc.
1 image of flag of Germany Germany 33 80.49%
2 image of flag of United States United States 4 9.76%
3 image of flag of Norway Norway 2 4.88%
4 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 1 2.44%
5 image of flag of Brazil Brazil 1 2.44%

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