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This session will explore ways to locate, analyze, and present sponsor-provided data to guide research development. Individual investigators, who may be proposing to a funder for the first time, often want to know about funding success rates, as well as more nuanced insight into the kinds of projects agencies tend to favor. They may also benefit from insight into changing workforce demographics and career trajectories in their discipline. At the departmental and institutional level, leadership seeks information about trends in funding availability and mechanisms, and in patterns of grants made, to better position themselves for these opportunities. As a research development professional, how can you best use available data from and about grantmakers to answer their questions? Better yet, how can you proactively access and interpret this data to keep your institution informed of trends relevant to its priorities? In this session, we will take a tour of valuable data sources such as NIH RePORTER and the NIH data book, NCSES’s Survey of Federal Funds for Research and Development, and directories of philanthropy like Candid. We will talk through a few cases of research development tasks and examine how such data can help solve problems, inform decisions, alleviate fears, and reveal opportunities for our institutions. 

In this session, we will consider how to use place-based data to build your case to sponsors for funding research at your institution, particularly for sponsors who operate on the national or international scale. The setting of your institution—the communities it developed in, the region where it operates, and the people it reaches and serves—is key for conveying its unique capacities and potentials, and for making sponsors eager to bring you into their funding portfolio. How can data help you introduce yourself as an institution and tell your story in geographical and economic context? In this session we will explore US Census data, other federal data hubs, and research and reporting from organizations such as the Pew Research Center or the National Bureau of Economic Research (NBER). We will cover the benefits and challenges of working with raw data; identify suitable data types for certain purposes, such as diversity and equity issues; and consider what kinds of data and presentations are most compelling to different types of funders. With greater awareness of what data and tools are available, you can “put yourself on the map” and paint a vivid picture of your community for prospective funders. Presented at the 2024 Research Analytics Summit in Albuquerque, NM 

Presented at the 2024 Research Analytics Summit in Albuquerque, NM. The Research Administrators Mentoring Program is a great way to build analytic skill with colleagues.