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Data Publishing and Metadata creation

Presenter 1
Nicole Quitzsch
GESIS - Leibniz Institute for the Social Sciences

The classic form of dissemination of scientific data is to publish only the results of data collection. Their results are published in professional journals, usually without the underlying data. Data should no longer be exclusively part of a scientific publication. This is why the GESIS - Leibniz-Institute for the Social Sciences and the ZBW - Leibniz Information Centre for Economics decided to implement the DOI registration portal for German social and economic data - da|ra. The datasets receive unique DOIs as citable identifiers and all relevant metadata information. Persistent identifiers together with their bibliographical information provide the opportunity to find and to cite primary data in scientific publications. The data is clearly quotable about the DOI. Pre-condition for the citation of data is the creation of qualitative metadata. The da|ra metadata schema consists of mandatory and optional fields. It is compliant with other important metadata standards to ensure metadata interoperability. This presentation will deal with the different steps need to be done for the data publishing process and focus on how new features are included in the already existing DOI service. It will show that using the services enables scientists comfortably to discover, find and access scientific data.

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