skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


Title: Using Agency Data for Research Development
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.  more » « less
Award ID(s):
2324388
PAR ID:
10566912
Author(s) / Creator(s):
Publisher / Repository:
University of Kentucky Libraries
Date Published:
Subject(s) / Keyword(s):
FOS: Computer and information sciences
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. (, University of Kentucky Libraries)
    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 
    more » « less
  2. (, University of Kentucky Libraries)
    Every institution has a strategic goal for more research funding and results. The drive for funding is inextricably tied to competition for top researchers, and competition for researchers is directly related to investments in and optimization of research space on university campuses. The case for focusing on space is critical when you expect each lab to produce $1 million or more in expenditures every 4 years. How can you use data analytics to optimize space allocation for research? How can you creatively use under-utilized spaces for short- and long-term research investments? This session will discuss Carnegie R2 and R1 and USNWR rankings as related to strategic research investments, cover key challenges in aligning PI, space and expenditure datasets, and demonstrate the use of data tools to optimize space assets. 
    more » « less
  3. (, University of Kentucky Libraries)
    Discover how to transform standard research award/proposal reports into dynamic visualizations of your research collaborations using Microsoft Power BI and custom visuals. This session guides you through creating interactive networks to visualize your research community. While we'll touch on network analysis, detailed statistical discussions are beyond the scope of this session. Participants are encouraged to bring a laptop and their data, although dummy data will be available. We'll cover data loading and transformation in Microsoft Power BI, employing custom visuals for network generation, and we will explore practical applications of research networks. Please download Microsoft Power BI Desktop beforehand if you plan to follow along, data can be provided or use your own! Presented at the 2024 Research Analytics Summit in Albuquerque, NM 
    more » « less
  4. (, University of Kentucky Libraries)
    This session will be an introductory conversation to understand the fundamentals of data governance and stewardship. Attendees will be introduced to the core principles of data governance and the role of data stewards. We will talk about strategies for governance and stewardship at your institution, and how to work within roles and frameworks that may already exist at your institution. We’ll also talk about how to build this framework and external considerations you need to consider. Presented at the 2024 Research Analytics Summit in Albuquerque, NM 
    more » « less
  5. (, University of Kentucky Libraries)
    This session is a basic introduction to descriptive statistics for research administration professionals. No worries! Excel will be used throughout, nothing will be calculated by hand. Averages (means), medians, standard deviations, correlations and other basic statistical concepts will be explained using only research administration data as context. A sample research administration data set will be provided and Excel will be used to analyze the data. Some sample charts and best practices in creating these charts will also be shown. Again using Excel. This is the perfect session for anyone in research administration whose roles include analyzing data using descriptive statistics. Whether you are new to statistics or whether you can't remember a statistics class you might have taken at some point. Basic knowledge of Excel would be helpful for this session. 
    more » « less
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email