A data discovery index for the social sciences

• Published in: Scientific data Vol. 5; no. 1; p. 180064
• Main Authors: Krämer, Thomas, Klas, Claus-Peter, Hausstein, Brigitte
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 10.04.2018; Nature Publishing Group
• Subjects: 639/705/258; 706/689/523; Comparative analysis; Computational Biology - methods; Databases, Factual; Harvesting; Humanities and Social Sciences; Humans; Metadata; Motivation; multidisciplinary; Science; Social Sciences
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/sdata.2018.64

This paper describes a novel search index for social and economic research data, one that enables users to search up-to-date references for data holdings in these disciplines. The index can be used for comparative analysis of publication of datasets in different areas of social science. The core of the index is the da|ra registration agency’s database for social and economic data, which contains high-quality searchable metadata from registered data publishers. Research data’s metadata records are harvested from data providers around the world and included in the index. In this paper, we describe the currently available indices on social science datasets and their shortcomings. Next, we describe the motivation behind and the purpose for the data discovery index as a dedicated and curated platform for finding social science research data and gesisDataSearch, its user interface. Further, we explain the harvesting, filtering and indexing procedure and give usage instructions for the dataset index. Lastly, we show that the index is currently the most comprehensive and most accessible collection of social science data descriptions available.