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The last 15 years have seen a marked growth of data management and sharing policies among federal agencies in the US and Canada. While these policies have an undeniable impact in terms of increased publicly available datasets, they have also impacted the research practices of funded researchers and the services and infrastructure provided by institutions. Researchers and institutions alike share the responsibility to align practices with funding agency requirements concerning data management and sharing, but each stakeholder group has responded in ways that may not align with one another. This presentation delves into research resulting from the National Science Foundation-funded Realities of Academic Data Sharing (RADS) Initiative and provides a comprehensive comparative analysis of services and infrastructure of six academic institutions, as well as an overview of the overall impact of these policies for researchers and institutions. Insights into services, infrastructure, and impact can lead to the creation of streamlined pathways for enhancing institutional efficiencies in data management and sharing. 

This dataset is the result of studies conducted during phase one (NSF-funded) of the Realities of Academic Data Sharing (RADS) Initiative, based out of the Association of Research Libraries. Studies were conducted with federally-funded researchers and institutional administrators who support data sharing practices within their department or unit at the following institutions: Cornell University, Duke University, University of Michigan, University of Minnesota, Virginia Tech, and Washington University in St. Louis. The 2022 RADS studies were retrospective, investigating data sharing and management activities and support services from 2013 to 2022. Two surveys were utilized to collect data, the Institutional Infrastructure Survey for administrators and the Researcher Survey for federally-funded researchers. This dataset presents data from both of these surveys. Project website: https://www.arl.org/realities-of-academic-data-sharing-rads-initiative/ 

“Leveraging Data Communities to Advance Open Science,” a multi-session incubation workshop made possible with generous funding from the National Science Foundation was designed to accomplish three core goals in support of building data infrastructures and community networks to advance open science, using the data communities framework as a guide.