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Presentations

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 by the premise Read more about Joint Declaration of Data Citation Principles: Implementation and Compliance in the Dataverse Repository

Building a Bridge Between Journal Articles & Research Data, at 9th International Digital Curation Conference (IDCC), San Francisco, CA, Wednesday, February 26, 2014

Presented by Alex Garnett (Simon Fraser Univ) and Eleni Castro (Harvard Univ) at the 9th IDCC during Session 2/Parallel B - Data Publishing: linking with articles.

10 Simple Rules for the Care and Feeding of Scientific Data, at SEAS, Harvard University, Friday, October 25, 2013

IACS Seminar by Mercè Crosas

Abstract:

Increasingly, scientific publications and claims are based on ever-increasing volumes of data. Once the publication is complete, it is often difficult for others to locate the data and accompanying analyses, and once located, often challenging to make sense of them. For scientific results to continue being subject to verification and extension, we in the scientific community must ensure that good data management, with Read more about 10 Simple Rules for the Care and Feeding of Scientific Data

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