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Reproducible Research: A Replication Server for the Social Sciences

Presenter 1
Natascha Schumann
GESIS, Leibniz Institute for the Social Sciences

Openness is an important aspect of good scientific practice. In this context, data sharing can be seen as a trust-building mechanism: Making underlying data findable and accessible supports reproducibility and confirmability of research results published in journal articles.
The presentation gives an overview about the "Replication Server" project, which is an initiative by two leading German sociology journals and GESIS to foster reproducibility in the social sciences. As part of this project, both of the involved journals, "Zeitschrift fur Soziologie" and "Soziale Welt", developed respective data policies. Authors who submit articles based on research data have to agree to make their data available to the community in the case that the article is published. In December 2015 a corresponding service was introduced to support journals in implementing their data policies practically.
datorium is an existing GESIS service which provides a user-friendly tool for the documentation, upload and publication of social science research data. Researchers describe their data in a standardized manner. Incoming data will be checked with regard to data privacy, coherence and completeness. All datasets receive a persistent identifier (DOI).
For the purposes of the cooperation with the journals, datorium has been extended by additional features. These make it possible to link all data sets to the corresponding articles and vice versa. Users can easily recognise data sets as belonging to an article from the respective journal. Data are accessible via the datorium webpage and access conditions are definedin accordance with the policies of the respective journals.
The initiative started with the two mentioned journals but is also open for further partners.

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