Predavanje at an event "ESRA 2019 Conference, Highlighting the contribution of survey research in the changing data environmen, 15.-19.7.2019", European Survey Research Association (ESRA), Zagreb, Croatia (2019)
VIPAVC BRVAR, Irena
The Slovenian Social Science Data Archives (ADP) identified a need for a self-archiving tool for researchers/PhD students and chose the DataVerse application as the best option, since it enables easy self-deposit of a survey (quick publication of research data), and easy browsing of the catalogue and access to data for the final users (option for downloading of the survey data files on the local computer). DataVerse is an open source web application to share, preserve, cite, explore, and analyse research data. The drawback of the default installation of DataVerse is that it has a metadata structure for social sciences which does not fully follow the FAIR principles (findable, accessible, interoperable and reusable). In order to have FAIR compliant surveys, (meta)data need to be richly described with a plurality of accurate and relevant attributes, (meta)data must meet domain-relevant community standards (such as the CESSDA Metadata Model for social sciences data), (meta)data should use vocabularies that follow FAIR principles (such as the CESSDA Controlled Vocabularies) and they should use a formal, accessible, shared and broadly applicable language for knowledge representation (ex. widely acceptable international standards such as the DDI for social sciences). In order to adapt the default DataVerse application to support standardized metadata and controlled vocabularies that follow the CESSDA Metadata Model, the DataVerse software needed to be adjusted, which in turn demanded several workarounds of the application. This work was done within the CESSDA DataverseEU project, whose project partners are ADP (Slovenia), AUSSDA (Austria), DANS (the Netherlands), GESIS (Germany), SND (Sweden) and TARKI (Hungary). The paper will present the experience we had at ADP in adjusting the DataVerse software and expose problems and workarounds that users of the application should be aware of when wanting to adjust the application to follow standardized metadata models that allow easy (re)use and findability of surveys.
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