Pathways to Data Services. Session 1: Building Out Data Services.

This is a 4-part class. Due to limited space, please only register if you can commit to all 4 sessions. When you register on this page, you will be registered for all 4 sessions.

****CE credit is only awarded after attending all 4 sessions****

Data services in libraries has grown over the years, especially as grant-funding agencies and publications have been adding requirements for data sharing and data management. Pathways to Data Services is a four-part short course designed to share ideas about establishing and building out data services in academic libraries. Essential to this process is learning about your community's needs, tips for which will be covered in every session. Starting with a panel to show various approaches to building data services programs, and moving through ideas on conducting data interviews, finding data, and the NIH Data Management and Sharing Plan, this short course will focus on low cost, high impact services that are good to consider in this area. This series will be interactive, and registrants can expect to participate in activities, reflections, and group discussions around the topics presented.  

Session 1 (October 1): Building Out Data Services: A Panel Discussion

Invited panelists will discuss how they have established and grown data services at their institutions.

Songyao Chen (Towson University)

Mikala Narlock (Indiana University)

Adam Johnson (Coastal Carolina University)

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Session 2 (October 6): Conducting Data Interviews

Dr. Nina Exner, Research Data Librarian at Virginia Commonwealth University, will discuss best practices for conducting data interviews in order to better know the needs of your researchers. This session will include a mock interview with a researcher as an example.

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Session 3 (October 15): Finding Data

Michelle Yee, Research Data and Metadata Management Librarian at NYU Health Sciences Library, will present information about how to find data, including useful processes and tools, teaching others how to find data, and suggestions for collaborating.

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Session 4 (October 23): The NIH Data Management and Sharing Policy

The NIH DMSP is a good way to engage with your community around data services. Shanda Hunt, Research Data Education & Outreach Librarian at University of Minnesota Libraries, will talk about the policy, what she has learned about providing data services around the policy, and insights into marketing data services.

****CE credit is only awarded after attending all 4 sessions****

By registering for this class, you are agreeing to the NNLM Code of Conduct