24 Association of Research Libraries Research Library Issues 296 — 2018 conversation and keeping company with one another. You will find a similar roster of characters as stakeholders in developing institutional data management services. RDA brings people together across experiences, roles, and disciplines in the common cause of sharing research data in a responsible manner that supports the scholarly record of research. One of RDA’s main contributions is the establishment, support, and maintenance of a space where people collaborate to address some of society’s grand challenges. As of July 2018, RDA has 93 groups,2 which have collectively produced over 24 recommendations and outputs, which are “the technical and social infrastructure solutions enabling data sharing, exchange, and interoperability.”3 These products range from Machine Actionable Policy Templates,4 an information and communications technology (ICT) technical specification, to Repository Audit and Certification Catalogues,5 a harmonized procedure for certifying repositories, to Wheat Data Interoperability Guidelines, Ontologies and User Cases,6 an aid to researchers in organizing and communicating their data, to 23 Things: Libraries for Research Data,7 an overview of research data management resources and tools for librarians. The recommendations and outputs have been adopted or implemented by over 60 organizations, including universities, research centers, repositories, international research efforts, and more. The broad range of the challenges that RDA members address, the solutions they create, and the organizations that implement them speaks to the underlying success of RDA, creating the environs where radical collaboration can occur to address those challenges of research data. Of course, not all of the current RDA groups, or the groups that have come and gone in the past, have been equally successful in developing solutions that reflect the full strength and participation of group members. Similarly, our institutions are often tasked with addressing society’s grand challenges, and we see a comparable variability of success when it comes to developing local solutions for removing barriers to data sharing, in the form of institutional data management