The Research Evaluation and Analytics Capacity Hub (REACH) will provide a new national forum for the advancement of research analytics, the use of data-informed decision-making, artificial intelligence (AI), and responsible research assessment practices within the field of research administration. REACH leverages expertise from across the globe and engages institutions interested in building capacity in these areas to strengthen their research enterprise. Participants come from all types of institutions and from a variety of professional fields, including research administrators, researchers, and librarians.
Welcome to the Research Evaluation and Analytics Capacity Hub (REACH)
Meet us in Newport, RI for the 2026 Research Analytics Summit!
Join the growing Research Analytics community at the 2026 Research Analytics Summit, held in historic Newport, Rhode Island from April 19–22. Connect with research managers, administrators, librarians, and data professionals to discuss data, analytics, technology, data governance, culture, and leadership. Session topics will range from novice to advanced, so there will be something for everyone, regardless of your experience with research analytics.
Cory Favino
What we offer
Learn more and get connected
Join Our Email List
Sign up to receive information about REACH activities and participate in community discussions about new and emerging issues. The listserv is hosted and managed by our colleagues at the University of Missouri. Post to the listserv by emailing: ResearchDataAnalytics-L@lists.UMSystem.edu.
What is Research Analytics?
Quoting Katherine Robershaw and Baron Wolf's work, Research Analytics: A Systematic Literature Review, “Research analytics is the science of analyzing data to make data-informed decisions for strategic planning, research and development and business processes related to research administration functions.” The purpose of research analytics is to identify areas that could be enhanced, troubleshoot current issues discovered by data and resolve them with evidence-based solutions. Information derived from research analytics can strengthen research performance, build capacity, and strengthen knowledge and discover within higher education institutions.
The literature review's resulting conceptual framework of Research Analytics Capabilities is shown to the right and outlines six (6) dimensions that may be significantly associated with the development and optimization of a research analytics program.
Project Support
U.S. National Science Foundation
This project is supported through grant funding from the U.S. National Science Foundation (grant number: 2444978). A project of NSF GRANTED. GRANTED focuses on addressing systemic barriers within the nation's research enterprise by improving research support and service capacity. GRANTED is a whole-of-NSF approach that will transform NSF and the science and engineering community to develop the collective knowledge, skills, talents and desire to serve within the nation’s science and engineering enterprise.
University of Kentucky
This project is led by Dr. Baron G. Wolf, Director of Research Analytics at the University of Kentucky. The University of Kentucky has been a global leader in the field of research analytics. Dr. Wolf has been supported through several research grants from the U.S. National Science Foundation, Institute of Museum and Library Services, and the National Institutes of Health.