Using database linkages to measure innovation, commercialization, and survival of small businesses.

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ID: 53481
2019
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Abstract
Here, we report the results of an outcomes evaluation of the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Programs at the National Institute of General Medical Sciences (NIGMS). Since the programs' inception, assessments of the SBIR/STTR programs at several federal agencies have utilized surveys of former grantees as the primary source of data. Response rates have typically been low, making non-response bias a potential threat to the validity of some of these studies' results. Meanwhile, the availability of large publicly-available datasets continues to grow and methods of text mining and linking databases continue to improve. By linking NIGMS grant funding records, U.S. Patent and Trademark Office data, and business intelligence databases, we explored innovation, commercialization and survival for recipients of NIGMS SBIR/STTR funding. In doing so, we were able to more completely assess several key outcomes of the NIGMS SBIR/STTR program. Our evaluation demonstrated that the NIGMS program performed above baseline expectations along all dimensions, and comparably to other federal agency SBIR/STTR grant programs. In addition, we show that the use of extant data increasingly is a viable, less expensive, and more reliable approach to gathering data for evaluation studies.
Reference Key
onken2019usingevaluation Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Onken, James;Miklos, Andrew C;Dorsey, Travis F;Aragon, Richard;Calcagno, Anna Maria;
Journal Evaluation and program planning
Year 2019
DOI
S0149-7189(18)30398-7
URL
Keywords
Innovation database research policy research evaluation small business innovation research u.s. federal government

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