Data Publishing while Preserving Data Privacy, at IASSIST 2014, Toronto, Thursday, June 5, 2014

Over the last decade, our Data Science team at Harvard's Institute for Quantitative Social Science has been iteratively developing Dataverse, a data repository  framework to facilitate and enhance research transparency through data sharing, preservation, citation, reuse and analysis. During the last two years, we have implemented extensible data publishing workflows and effective ways to link articles to data. In this talk, I'll present our latest data publishing workflows and introduce data publishing for sensitive data.