40 likes | 50 Views
Learn how to enhance program evaluation with templates, data standards, and collaboration strategies. Discover best practices for data collection and reporting. Explore questions on evaluation methods and grantee involvement.
E N D
Session 731Progress Reporting for US Federal Grant Awards: Templates, Guidance, and Data Standards to Support Effective Program Evaluation Laure Haak, Discovery Logic. Chair and Discussant Helena Davis, NIEHS/NIH. Using the Logic Model Process to Guide Data Collection on Outcomes and Metrics Larry Nagahara and Nicole Moore, NCI/NIH. Evaluating Collabortion and Team Sciene in the National Cancer Institute’s Physical Sciences-Oncology Consortium David Baker, CASRAI. Creating a Shared Core Set of Reporting Elements Sponsored by the AEA Research, Technology ,and Development Evaluation TIG
Panel Scope Effective evaluation of grant programs will require mixed methods and a variety of data sources and types. • Can we support iterative program evaluation? • Can we collect quality data efficiently? • How do we involve grantees? • Can we scale processes across centers and programs?
Questions • Are evaluation guidelines included in funding announcement? • How are data collected (e-document, web form)? • When are data collected (before, during after)? • Are there standard definitions used across the Institute or Agency? • Who reports and how are the data verified?