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Dataverse Network and Open Journal Systems Project to Encourage Data Sharing and Citation in Academic Journals

Presenter 1
Eleni Castro
Institute for Quantitative Social Science (IQSS) Harvard University

As data sharing technology and data management practices have developed over the past decade, academic journals have come under pressure to disseminate the data associated with published articles. Harvard University's Institute for Quantitative Social Science (IQSS) recently received a two year grant from The Alfred P. Sloan Foundation to partner with Stanford University's Public Knowledge Project (PKP) in order to help make data sharing and preservation an intrinsic part of the scholarly publication process, and create awareness specifically among journal editors and publishers. This presentation will provide an overview of the collaboration between PKP's Open Journal Systems (OJS), and IQSS's Dataverse Network (DVN) team who are currently working on building the needed technology that will support seamless publication of research data and articles together; and to support new forms of social science data, readership and analysis. The immediate impact of the project will be to increase the number of readily replicable articles published, and the number of social science journals that adopt best data management and citation practices. The broadest impacts of the project will be to increase the pace of discovery in the social sciences, and to broaden the research opportunities for younger scholars.

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