Are researchers citing their data? A case study from the U.S. Geological Survey

Data Science Journal
By:  and 



Data citation promotes accessibility and discoverability of data through measures carried out by researchers, publishers, repositories, and the scientific community. This paper examines how a data citation workflow has been implemented by the U.S. Geological Survey (USGS) by evaluating publication and data linkages. Two different methods were used to identify data citations: examining publication structural metadata and examining the full text of the publication. A growing number of USGS researchers are complying with publisher data sharing policies aimed to capture data citation information in a standardized way within associated publications. However, inconsistencies in how data citation information is documented in publications has limited the accessibility and discoverability of the data. This paper demonstrates how organizational evaluations of publication and data linkages can be used to identify obstacles in advancing data citation efforts and improve data citation workflows.

Publication type Article
Publication Subtype Journal Article
Title Are researchers citing their data? A case study from the U.S. Geological Survey
Series title Data Science Journal
DOI 10.5334/dsj-2024-024
Volume 23
Year Published 2024
Language English
Publisher The Committee on Data of the International Science Council (CODATA)
Contributing office(s) Science Analytics and Synthesis
Description 24 p.
Google Analytic Metrics Metrics page
Additional publication details