Managing metadata for science, technology and innovation studies: The RISIS case

Open Access
Authors
Publication date 2016
Host editors
  • A. Adamou
  • E. Daga
  • L. Isaksen
Book title Proceedings of the 1st Workshop on Humanities in the Semantic Web
Book subtitle co-located with 13th ESWC Conference 2016 (ESWC 2016) : Anissaras, Greece, May 29th, 2016
Series CEUR Workshop Proceedings
Event The Semantic Web - ESWC 2016 Satellite Events
Article number 3
Pages (from-to) 15-20
Number of pages 6
Publisher Aachen: CEUR-WS
Organisations
  • Faculty of Law (FdR) - Leibniz Center for Law (FdR)
Abstract
Here, we describe the RISIS-SMS metadata system, developed to support the use of heterogeneous datasets in the field of Science, Technology and Innovation Studies (STIS). These data are partly within the RISIS infrastructure, but often elsewhere. The system has three aims: (i) to help researchers to search for and understand data that will help to answer specific research questions, without having to access or download the data. As datasets often have restricted access, browsing metadata is a key feature of the system: researchers need help identifying the relevant data from different sources for their research, and for which data it is worthwhile asking for access; (ii) to support the enrichment of data By linking the metadata system to the Linked Open Data environment (LOD); (iii) to facilitate application-driven data integration.
Document type Conference contribution
Language English
Published at http://ceur-ws.org/Vol-1608/paper-03.pdf
Other links http://ceur-ws.org/Vol-1608
Downloads
paper-03 (Final published version)
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