Update on Dataverse, at 2014 Dryad & Dataverse Community Meeting at IQSS, Wednesday, May 28, 2014

An overview on Dataverse, what is currently in development for Dataverse version 4.0, collaborations, and future projects integrating with Dataverse presented at the 2014 Dryad & Dataverse Community Meeting by Eleni Castro (Research Coordinator) and Elizabeth Quigley (Usability Specialist) from the Data Science Team at IQSS.

Data Publishing with Dataverse, at DIG and DCIG Webinar, organized by ACRL, Thursday, May 22, 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 data sharing, preservation, citation, reuse and analysis. The open source Dataverse software has been installed as a research data repository at multiple institutions worldwide. The Dataverse repository hosted at Harvard University is open to all researchers, and currently has over 53,000 data sets containing 734,000 files. During the last two years, based on user feedback and...

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Data Publishing Workflows with Dataverse, at MIT, Program of Information Sciences, Tuesday, May 6, 2014

The Dataverse software provides multiple workflows for data publishing to support a wide range of data policies and practices established by journals, as well as data sharing needs from various research communities. This talk will describe these workflows from the user experience and from the system's technical implementation.

See Micah Altman's blog on the presentation.

Joint Declaration of Data Citation Principles: Implementation and Compliance in the Dataverse Repository, at NISO Virtual Conference, Wednesday, April 23, 2014

Webinar at the NISO Virtual Conference: Dealing with the Data Deluge: Successful Techniques for Scientific Data Management

Mercè Crosas, Ph.D., Director of Data Science, Institute for Quantitative Social Science (IQSS), Harvard University

Decades of data citation research, initiatives and guidelines have been consolidated into a single set of Data Citation Principles, created by a synthesis group that represents more than 25 organizations. The principles are driven...

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