Best Practices for Research Data Management - Eugene Barsky, UBC - Nov 16, 2016
In Canada, as in many developed countries, requirements for data management are being established across a wide range of scholarly disciplines. In this presentation, Eugene Barsky from the University of British Columbia's ARC Team will offer UBC Library expertise in managing thousands of data files with Dataverse software.
UBC Abacus Dataverse (http://dvn.library.ubc.ca/dvn/) is open-source software, developed by Harvard, which allows researchers to share, cite, preserve, discover, and analyze research data.
Dataverse is designed as a self-serve platform, where individual researchers, research teams, and institutes can create their own account and deposit their own data. Dataverse has proven to be a flexible platform that can support many models for research data management services. It offers a range of features that improve data discoverability and access. It also does a good job of managing data files from a preservation perspective: it manages versions, conducts checksums to maintain data integrity, and supports persistent identifiers.
This session covers how to:
Create and change records
Metadata, types of metadata, standards
Uploading files, large files, zipping
Version control
Tabular analysis in your browser
Granular access to datasets: public, institutional, groups
UNFs for data analysis
OAI for discoverability
To view the slide deck for this presentation, visit:
https://www.westgrid.ca/events/best_p...
For more information on other WestGrid training events, visit:
https://www.westgrid.ca/events/westgr...
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