Data-intensive research promises advancements in knowledge but requires professionals with knowledge in working with research data. As institutions extend their services to data management, an understanding of how to build data expertise into service models and staff is needed. This study examines how a mature data center, National Center for Atmospheric Research, and exemplar academic library, Purdue University Libraries, developed data expertise. Case studies of NCAR and Purdue utilize evidence from qualitative interviews and artifacts and is extended through interviews conducted with other geoscience data centers and libraries. This poster reports preliminary results, comparing approaches in data centers and libraries.Ope
