Data in Common(s): Collaborative Models for Robust Data Support

This panel session will explore the issues relating to providing data services within a library research commons by examining three new facilities in academic libraries in the United States: The University of Michigan's Stephen S. Clark Library for Maps, Government Information, and Data Services; New York University's Data Service Studio; and Yale University's Center for Science and Social Science Information. Presentations will focus on aspects such as service models, interactions and relationships to other service providers in the commons, facilities, and levels of data support as they relate to the data lifecycle and needs of library patrons including data management, curation, re-use, and education. This comparison will provide insight into successes, challenges, and lessons learned and will be valuable to those planning and working to improve or implement their own research commons with data service components.