Linked Open Research Data for Social Science : A Concept Registry for Granular Data Documentation

Abstract: The re-use of research data is an integral part of research practice in the social and economic sciences. To find relevant data, researchers need adequate search facilities. However, a comprehensive, thematic search for research data is made more difficult by inconsistent or missing semantic indexing of data at the level of social science concepts (e.g., representing the theory language). Either the data is not documented at a granular level, or primary investigators use their ad-hoc terminology to describe their data. Consequently, researchers have to make great efforts to find relevant or comparable data. From the user's perspective, the lack of theory language in data documentation impedes effective data searches and thus significantly limits the research potential of existing data collections. Because there is currently no semantic model for indexing the data content, the specific challenge for improving data search lies in establishing concept-based indexing of research data. .... https://www.tib-op.org/ojs/index.php/CoRDI/article/view/300

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Linked Open Research Data for Social Science ; volume:1 ; year:2023
Proceedings of the conference on research data infrastructure ; 1 (2023)

Urheber
Siegers, Pascal
May, Antonia
Saalbach, Claudia
Nebelin, Jana
Kern, Dagmar
Daniel, Andreas
Zapilko, Benjamin
Momeni, Fakhri
Wenzig, Knut
Goebel, Jan

DOI
10.52825/cordi.v1i.300
URN
urn:nbn:de:101:1-2023120115033426668594
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:22 MESZ

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