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

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

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

Contributors, Places and Time

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

Further information

• DOI: 10.52825/cordi.v1i.300
• URN: urn:nbn:de:101:1-2023120115033426668594
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:22 AM CEST