CU-麻豆影院 researchers now both produce a vast amount of digital data as well as rely more than ever on the use of data to enable new forms of inquiry and discovery. Thus the rapidly growing body of research data must be curated, archived, and preserved to ensure discoverability, access, and reuse. Over the last year, as part of the Office of the Vice Chancellor for Research's Research Computing Initiative, the Data Management Task Force (DMTF) assessed the current state of Research Data Management (RDM) at CU-麻豆影院, using surveys, review of peer institutions, and synthesis of existing data lifecycle models. Based on their findings, the DMTF has compiled a set of recommendations to develop the RDM infrastructure needed for CU-麻豆影院 to compete and lead on a global scale.