February 17, 2017

Development of open data metrics

Thanks to my involvement in a research contract focused on the analysis of DataCite I am collaborating on this topic in which we are looking into data sources that can provide information about data sharing practices. It follows up previous work done analyzing the Data Citation Index 1–3 but the original intention is to go a step further by having a complete understanding on data sharing practices and data reuse to provide an empirical framework by which research evaluation methods and indicators can be applied in the new context of ‘open science’ promoted by funding bodies such as the EU or national agencies.

Related publications

1.
Robinson-Garcia N, Mongeon P, Jeng W, Costas R. DataCite as a novel bibliometric source: Coverage, strengths and limitations. Journal of Informetrics. 2017;11(3):841-854. doi: 10.1016/j.joi.2017.07.003
2.
Mongeon P, Robinson-Garcia N, Wei J, Costas R. Incorporating data sharing into the reward system of science: Linking DataCite records to authors in the Web of Science. Aslib Proceedings. 2017.
3.
Robinson-Garcia N, Mongeon P, Jeng W, Costas R. Evaluating the possibilities of DataCite for developing “Open Data metrics” on the production and usage of datasets worldwide. In: Bucharest (Romania); 2016.

References

1.
Robinson-García N, Jiménez-Contreras E, Torres-Salinas D. Analyzing data citation practices using the data citation index. J Assn Inf Sci Tec. 2015;67(12):2964-2975. doi: 10.1002/asi.23529
2.
Peters I, Kraker P, Lex E, Gumpenberger C, Gorraiz J. Research data explored: an extended analysis of citations and altmetrics. Scientometrics. 2016;107(2):723-744. doi: 10.1007/s11192-016-1887-4
3.
Torres-Salinas D, Martín-Martín A, Fuente-Gutiérrez E. Analysis of the coverage of the Data Citation Index – Thomson Reuters: disciplines, document types and repositories. Rev esp doc cient. 2014;37(1):e036. doi: 10.3989/redc.2014.1.1114