Pathways to Data Services. Session 2. Conducting Data Interviews.

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 the main event page, you will be registered for all 4 sessions.

****Attendance at all 4 sessions is required to receive 4 MLA CE credits****

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.  

****Attendance at all 4 sessions is required to receive 4 MLA CE credits****

You can register for all 4 sessions on the main event page.

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.

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