Johnston, Lisa R.Ivey, SusanCowles, WindHudson Vitale, Cynthia2023-10-262023-10-262023https://hdl.handle.net/11299/257778Presented at the 2023 EDUCAUSE annual meeting in Chicago. One of the major challenges facing IT and information professionals in higher education is how to support and advance data-intensive research at scale while meeting the needs of researchers and the requirements of research funders in a complex and rapidly shifting regulatory and technological environment. This challenge is exacerbated for campus-wide infrastructure and services by the heterogeneity and complexity of the data and workflows involved, and is particularly felt in the growth of requirements around data sharing and the increase across all disciplines in non-traditional research outputs. These challenges raise questions about what counts as research data, what needs to be shared and for how long, where are researchers sharing their data, how much will sharing cost and how will it be sustainability supported, how will researchers be involved and supported, how will institutions be sure that they are in compliance, and how do they ensure long-term value of the information generated by their researchers? Answers to these questions involve a campus ecosystem of services, infrastructures, and partnerships. In this session, leaders from four different organizations will provide insights into these challenges and the solutions that their organizations are pursuing, showcasing examples of leadership partnerships, collaborative experimentation, and radical collaboration. After introducing an overview of the challenges and drivers in this area, they will share the results of the NSF-funded study, Realities of Academic Data Sharing, led by the Association of Research Libraries (ARL), which sought to understand how and where researchers are sharing their data, the completeness of the metadata, and the expenses associated with sharing the research data - calculating both institutional expenses and researcher costs. Next, they will go into depth on two institutional research data service programs at Princeton University and North Carolina State University that exemplify inter-institutional collaboration across service units. Finally, they will share some lessons learned from the Data Curation Network, a growing cross-institutional collaboration of 16 member organizations for enabling and advancing research data sharing. Participants will be invited to share their experiences, challenges, and solutions that their institutions are pursuing.enPresentation