Bridging Disciplines: Assessing the Interdisciplinary Impact of Open Data

Abstract

Freely disseminating scientific data can contribute to multiple disciplines across the physical, social, health, and engineering sciences. If the impact of data centers is not measured, stakeholders will not know whether data centers, archives, and libraries, and the data that they disseminate, are having a positive impact on the conduct of science. Data citations provide evidence on the use of data in various stages of the research process, including problem definition, statistical analysis, modeling, and validation. Measuring the interdisciplinary citation of scientific data disseminated by a data center can reveal the degree to which the data center is supporting cross-disciplinary research. Analysis of a decade of data citations demonstrates the interdisciplinary use of scientific data and the impact that one data center has had across disciplinary boundaries

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