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Linking Research Data and Literature: Integration of da|ra and Sowiport based on Link Information from InFoLiS

Presenter 1
Dimitar Dimitrov
GESIS – Leibniz Institute for the Social Sciences
Presenter 2
Daniel Hienert
GESIS – Leibniz Institute for the Social Sciences
Presenter 3
Katarina Boland
GESIS – Leibniz Institute for the Social Sciences
Presenter 4
Dennis Wegener
GESIS – Leibniz Institute for the Social Sciences

Finding and using relations between digital information systems and their respective data sources is a major issue in the area of scientific information management. A use-case in the social sciences is the linking of publications and underlying research data and making the link information directly accessible via integrated information systems. We present an architecture that allows integrating metadata on study research datasets from the public information system da|ra with metadata on literature from the Sowiport portal. The relations are extracted from study metadata and publication full texts using link detection algorithms developed in the InFoLiS project. By this, we show how to extend existing information systems to allow users to navigate between different datasets via relations.

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