دورية أكاديمية
أعرض في EDS

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

التفاصيل البيبلوغرافية
العنوان: Using database linkages to measure innovation, commercialization, and survival of small businesses.
المؤلفون: Onken J; Research Enterprise Analytics, LLC, 21 Hardwicke Place, Rockville, MD 20850, USA., Miklos AC; National Institute of General Medical Sciences, National Institutes of Health, MSC 6200, 45 Center Drive, Bethesda MD 20892-6200, USA., Dorsey TF; Medical Science & Computing, LLC, 11300 Rockville Pike #1100, Rockville, MD 20852, USA., Aragon R; National Institute of General Medical Sciences, National Institutes of Health, MSC 6200, 45 Center Drive, Bethesda MD 20892-6200, USA., Calcagno AM; National Institute of General Medical Sciences, National Institutes of Health, MSC 6200, 45 Center Drive, Bethesda MD 20892-6200, USA. Electronic address: anna.calcagno@nih.gov.
المصدر: Evaluation and program planning [Eval Program Plann] 2019 Dec; Vol. 77, pp. 101710. Date of Electronic Publication: 2019 Sep 03.
نوع المنشور: Journal Article; Research Support, N.I.H., Extramural
اللغة: English
بيانات الدورية: Publisher: Elsevier Country of Publication: England NLM ID: 7801727 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7870 (Electronic) Linking ISSN: 01497189 NLM ISO Abbreviation: Eval Program Plann Subsets: MEDLINE
أسماء مطبوعة: Publication: 1994- : [Oxford] : Elsevier
Original Publication: 1978-1993: Elmsford, N. Y., Pergamon Press.
مواضيع طبية MeSH: Information Storage and Retrieval*/methods , Organizational Innovation*, Small Business/*statistics & numerical data, Humans ; National Institute of General Medical Sciences (U.S.)/organization & administration ; Program Evaluation ; Small Business/economics ; Small Business/organization & administration ; United States
مستخلص: 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.
(Published by Elsevier Ltd.)
References: Nat Biotechnol. 2012 Oct;30(10):953-6. (PMID: 23051811)
Expert Opin Ther Pat. 2013 Jul;23(7):765-71. (PMID: 23611022)
Eval Program Plann. 2019 Dec;77:101696. (PMID: 31404866)
معلومات مُعتمدة: Z99 GM999999 United States ImNIH Intramural NIH HHS
فهرسة مساهمة: Keywords: Database; Innovation; Research evaluation; Research policy; Small business innovation research; U.S. federal government
تواريخ الأحداث: Date Created: 20190914 Date Completed: 20201009 Latest Revision: 20210110
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC6815254
DOI: 10.1016/j.evalprogplan.2019.101710
PMID: 31518846
قاعدة البيانات: MEDLINE
الوصف
تدمد:1873-7870
DOI:10.1016/j.evalprogplan.2019.101710