Authors : Yurdagül Ünal, Müge Akbulut
This study examines the role of funding collaborations in shaping the production and dissemination of scientific information through data papers, a rapidly growing academic publication format.
To the best of our knowledge, there are no studies investigating, and evaluating the data paper-funder relationship. The goal of this study was, therefore, to evaluate data papers and funder information in detail, extracted from the data papers themselves, in order to reveal the collaborative characteristics of funders, and to provide guidance to researchers and funding agencies.
Data papers published between 2006–2017 were downloaded from the Web of Science database. The same papers were retrieved from Dimension, which offered more detailed category classifications. These classifications were then utilized for further analysis based on categories. The names of funders were standardized by matching them using the Crossref funder registry, and associated funding metadata.
A statistical, and social network analysis were performed. The top funding country was the USA; the top funding institution was the U.S. Department of Health and Human Services, National Institutes of Health. The collaboration network among funders exhibited relatively low density.
A collaboration network of 1197 links between 69 countries was created. The USA had connections with 62 countries. Our study is important because it standardizes the funding data for data papers by associating them with Crossref funding metadata.
The widespread increase of data papers, and their relatively dispersed funding among a variety of funders points to the need for research evaluating collaborations between funders, as important both for the funded researchers, and for understanding and optimizing the shortcomings of current funding management.
URL : Who funds what: An assessment of research funding networks in data papers