Funding agencies such as National Science Foundation and National Institutes of Health are increasingly requiring data management plans DMPs in grant proposals. In response to these funding agency mandates, academic libraries are increasingly providing data management services to university 133s. A better understanding of the impact of DMPs on grant awards and grant-funded research will enhance library data services for academic 133s, promote data stewardship and data sharing, and could potentially increase 133s' competitiveness for grant awards. This project aims to understand: - The common elements of funded DPMs, including DMPs from 133s in health sciences. - How 133s use data management plans during and after the research process, including how data management plans support data stewardship and data publication. The proposed study will analyze 200 DMPs from NIH and NSF grant applications, and then conduct 20 follow-up interviews of 133s from funded projects, selected from among the authors of the 200 analyzed DMPs. This research will ultimately result in a DMP toolkit for health sciences 133s. The toolkit will be shared with the broader library community through conference presentations and publications. By analyzing DMPs and data management practices across disciplines, the proposed study aims to apply a cross-disciplinary perspective in order to build better health sciences data management practices. By building a better understanding of DMPs' impact on grant awards and grant-funded research, this project will help health sciences libraries build stronger data services and promote the value of those services to relevant stakeholders, ultimately facilitating better data management and sharing practices for health sciences 133s.