Introduction to Research Data Management

This tutorial will introduce attendees to the basics of research data management best practices and to the resources available at Boston University for data management. Topics will include data movement and storage, backups, file formats, metadata, data organization, provenance, archiving, sharing, access control, and dissemination. New government rules dictate that research grant related data must be tracked, disseminated and preserved. We will introduce a storage model based on the attributes of cost, performance and reliability. The tutorial will demonstrate types of data and how to manage them: structured, unstructured and versioned. Attendees will be shown the types of storage offered by BU, how the offerings fit into the storage model and how to apply for new storage. We will demonstrate practical data management tools like Evernote, Mekentosj Papers, Git and GitHub.(Jointly taught by IS&T and Library staff).

If you try to sign up for this tutorial and find that it is full, please send email to scv-tutorial@bu.edu and we will do our best to accommodate you.

Erik Brisson, IS&T Scientific Computing & Visualization
Tuesday, February 26, 2013 from 2:00 PM to 4:00 PM
Charles River Campus - MCS Information Services & Technology room B27 (111 Cummington Mall)