EVO, The World Wide Collaboration Network. Editor Profiles. Taverna - open source and domain independent Workflow Management System. The Dataverse Network: An Open-Source Application for Sharing, Discovering and Preserving Data. D-Lib Magazine January/February 2011 Volume 17, Number 1/2Table of Contents The Dataverse Network®: An Open-Source Application for Sharing, Discovering and Preserving Data Mercè Crosas Institute for Quantitative Social Science, Harvard University mcrosas@hmdc.harvard.edu doi:10.1045/january2011-crosas Printer-friendly Version Abstract The Dataverse Network is an open-source application for publishing, referencing, extracting and analyzing research data.
Background Traditional approaches to storing and sharing data sets in social science have been either inadequate or unattractive to researchers, resulting into only a few scientists sharing their research data. The Dataverse Network (DVN) project provides an open source solution to this data sharing problem through technology (King, 2007, Figure 1. The DVN software development started in 2006 at the Institute for Quantitative Social Science (IQSS) at Harvard University. Persistent Citation for Data Restricted Access 1. 2. The Dataverse Network Project. Scientific Collaboration Framework — Harvard School of Engineering and Applied Sciences.
Lead investigators Brock Reeve (Harvard Stem Cell Institute), Tim Clark (Harvard Medical School and Massachusetts General Hospital) and Sudeshna Das Description Interdisciplinary research programs at Harvard and elsewhere naturally tend to be distributed geographically, across campuses and departments. Effective collaboration for these programs requires the ability to bridge distance, which in turn implies digital collaboration, and therefore abilities: to publish and discuss on-line content such as articles, news, and perspectives;to share, annotate, archive and retrieve digital content;to search, browse and annotate joint resources such as laboratory reagents and protocols;to provide semantic context to on-line content for more powerful interactions within multiple sub-disciplines;to integrate as well as distinguish the individual contributions of many scientific workers.
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