4 Association of Research Libraries Research Library Issues 298 — 2019 This is not surprising. “The library is the most interdisciplinary place on campus,” offered New York University (NYU) physics professor David W. Hogg, in his reflections on the Moore-Sloan Data Science Environment (MSDSE) at his university and its strong ties to the library. Jennifer Muilenburg and Judy Ruttenberg spoke with Hogg and other key personnel at the three MSDSE institutions—NYU, UC Berkeley, and the University of Washington—to highlight the profound growth and transformation of data science education that the MSDSE funding catalyzed. The article charts the instantiation of data science education at the three institutions, their aligned but distinct areas of focus, and key lessons for library leaders and other campus administrators in this arena. Finally, Erica Johns, Susan McCarthy, and Cynthia Parr contribute two companion pieces on the highly collaborative growth of data science services at the US National Agricultural Library (NAL). Working with the University of Maryland iSchool and other land- grant university members of the Agriculture Network Information Collaborative (AgNIC), NAL identified scalable strategies to partner with the Agricultural Research Service (ARS) and the university research community to advance data-driven discovery in agriculture. Data science is new enough as an endeavor that its relationship to its core disciplinary antecedents, and its infiltration of disciplines across the curriculum, is a dynamic and unfolding story in higher education. Research libraries, however, are prepared for this future as we draw upon our long-standing contributions: creating the conditions for new knowledge discovery, teaching students how to discern validity, and partnering with the research community to prepare and preserve data for science. Research libraries…are prepared for this future as we draw upon our long-standing contributions: creating the conditions for new knowledge discovery, teaching students how to discern validity, and partnering with the research community to prepare and preserve data for science.