Funding acknowledgments in the Web of Science: completeness and accuracy of collected data
Belén Álvarez-Bornstein (),
Fernanda Morillo () and
María Bordons ()
Additional contact information
Belén Álvarez-Bornstein: Spanish National Research Council (CSIC)
Fernanda Morillo: Spanish National Research Council (CSIC)
María Bordons: Spanish National Research Council (CSIC)
Scientometrics, 2017, vol. 112, issue 3, No 31, 1793-1812
Abstract:
Abstract The study of acknowledgments as a source of data on research funding is gaining ground in science, as exemplified by the present inclusion of this information in bibliographic databases such as Web of Science (WoS). The objective of this paper is to explore the completeness and accuracy of WoS in extracting and processing funding acknowledgment data. With this purpose, a random sample of articles published in eight thematic areas and selected from the scientific output of Spain in 2014 are analyzed. Funding information that appears in original articles is recorded by WoS in the “funding text” field, but is also extracted to the “funding agency” and “grant number” subfields. In the extraction process, some funding information was lost in 12% of the articles and the distribution of agencies and grant numbers by subfield was not always consistent. In addition, funding support is often incompletely reported by authors: in about half of the articles we studied, the country of origin of the funder or the grant number(s) were not mentioned. We propose and discuss the need to develop more detailed guidelines on how to acknowledge funding. More accurate documentation of funding sources in published articles would benefit researchers, funders and journals, and enhance the reliability and usefulness of studies on funding acknowledgments.
Keywords: Funding acknowledgments; Web of Science; Standarization (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-017-2453-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:scient:v:112:y:2017:i:3:d:10.1007_s11192-017-2453-4
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-017-2453-4
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().