Are NIH-funded publications fulfilling the proposed research? An examination of concept-matchedness between NIH research grants and their supported publications

Abstract The conceptual connections between scientific grants and publications are important, yet often overlooked in quantitative studies of science. An analysis of such connections could offer important insights into how science is conducted by individual researchers and research teams under the social and economic conditions of science. This study aims to offer the first piece of evidence towards this endeavor by analyzing the ratio of keyword matchedness between accepted NIH research grants from 2008 to 2015 and their funded publications. By applying linear regression method, we identified and examined three identified predictors of the outcome: 1) the funding rate of an NIH research program in a specific year, 2) the year difference between grant and publication, and 3) the funding size of a grant. Our findings suggest that these three factors contribute to the outcome in different capacities. Moreover, all of them may have different performances in individual funding programs, which highlights the importance of understanding the differences among individual funding mechanisms.

[1]  David J. Currie,et al.  Big Science vs. Little Science: How Scientific Impact Scales with Funding , 2013, PloS one.

[2]  Grant Lewison,et al.  The effect of funding on the outputs of biomedical research , 2006, Scientometrics.

[3]  Joan H. Fujimura,et al.  Constructing `Do-able' Problems in Cancer Research: Articulating Alignment , 1987 .

[4]  Ashish Arora,et al.  The Impact of NSF Support for Basic Research in Economics , 1997 .

[5]  G. Carter,et al.  An Evaluation of the NIH Research Career Development Award , 1987 .

[6]  Jean Anderson Eloy,et al.  Is NIH funding predictive of greater research productivity and impact among academic otolaryngologists? , 2013, The Laryngoscope.

[7]  Jochen Gläser,et al.  Governing Science , 2016, European Journal of Sociology.

[8]  Claire François,et al.  A concept for inferring ‘frontier research’ in grant proposals , 2013, Scientometrics.

[9]  Mark Johnson,et al.  An Improved Non-monotonic Transition System for Dependency Parsing , 2015, EMNLP.

[10]  G Lewison,et al.  International gastroenterology research: subject areas, impact, and funding. , 2001, Gut.

[11]  Kevin W Boyack,et al.  Mapping knowledge domains: Characterizing PNAS , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Brian A. Jacob,et al.  The Impact of NIH Postdoctoral Training Grants on Scientific Productivity. , 2011, Research policy.

[13]  Jennifer C. Gibbs,et al.  The chicken or the egg? The relationship between COP funding and COP research , 2012 .

[14]  Kevin W. Boyack,et al.  Toward predicting research proposal success , 2018, Scientometrics.

[15]  Jure Leskovec,et al.  Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change , 2016, ACL.

[16]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[17]  Henry Etzkowitz,et al.  The Triple Helix: University-Industry-Government Innovation in Action , 2008 .

[18]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[19]  Brian A. Jacob,et al.  The Impact of Research Grant Funding on Scientific Productivity , 2007, Journal of public economics.

[20]  C. Bloch,et al.  The size of research funding: Trends and implications , 2015 .

[21]  Richard N. Boyd On the current status of the issue of scientific realism , 1983 .

[22]  L. Leydesdorff,et al.  Emergence of a Triple Helix of University-Industry-Government Relations , 1996 .

[23]  Daniel A. McFarland,et al.  Who Leads Whom : Topical Lead-Lag Analysis across Corpora , 2010 .

[24]  Sheila Slaughter,et al.  Academic capitalism and the new economy : markets, state, and higher education , 2009 .

[25]  Paul Klimo,et al.  A correlation between National Institutes of Health funding and bibliometrics in neurosurgery. , 2014, World neurosurgery.

[26]  J. Eloy,et al.  Is there a relationship between National Institutes of Health funding and research impact on academic urology? , 2013, The Journal of urology.

[27]  David F Kallmes,et al.  Is the h-index predictive of greater NIH funding success among academic radiologists? , 2011, Academic radiology.

[28]  Catherine Beaudry,et al.  Impact of public and private research funding on scientific production: The case of nanotechnology , 2012 .

[29]  Slava M. Katz,et al.  Technical terminology: some linguistic properties and an algorithm for identification in text , 1995, Natural Language Engineering.

[30]  Arie Ben-David,et al.  Comparison of classification accuracy using Cohen's Weighted Kappa , 2008, Expert Syst. Appl..

[31]  Min Song,et al.  The funding factor: a cross-disciplinary examination of the association between research funding and citation impact , 2018, Scientometrics.

[32]  Nick Cramer,et al.  Automatic Keyword Extraction from Individual Documents , 2010 .

[33]  G. Laudel The art of getting funded: How scientists adapt to their funding conditions , 2006 .

[34]  G. Lewison Gastroenterology research in the United Kingdom: funding sources and impact , 1998, Gut.

[35]  Hanna Hottenrott,et al.  Research grants, sources of ideas and the effects on academic research , 2012 .

[36]  Erjia Yan,et al.  Tracking word semantic change in biomedical literature , 2018, Int. J. Medical Informatics.

[37]  Larry L. Leslie,et al.  Academic Capitalism: Politics, Policies, and the Entrepreneurial University , 1997 .

[38]  Jochen Gläser,et al.  The Limits of Universality: How Field-Specific Epistemic Conditions Affect Authority Relations and their Consequences. , 2010 .

[39]  L. Leydesdorff,et al.  The dynamics of innovation: from National Systems and , 2000 .