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

Kai Li and Erjia Yan

Journal of Informetrics, 2019, vol. 13, issue 1, 226-237

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.

Keywords: Research topics; Natural language processing; National Institutes of Health; Research grants (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1751157718303717
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:13:y:2019:i:1:p:226-237

DOI: 10.1016/j.joi.2019.01.001

Access Statistics for this article

Journal of Informetrics is currently edited by Leo Egghe

More articles in Journal of Informetrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().