Beginning to track 1000 datasets from public repositories into the published literature

Authors

Heather A. Piwowar
Jonathan D. Carlson, College of Saint Benedict/Saint John's UniversityFollow
Todd J. Vision

Document Type

Conference Proceeding

Publication Date

2011

Disciplines

Library and Information Science

Abstract

Data sharing provides many potential benefits, although the amount of actual data reused is unknown. Here we track the reuse of data from three data repositories (NCBI's Gene Expression Omnibus, PANGAEA, and TreeBASE) by searching for dataset accession number or unique identifier in Google Scholar and using ISI Web of Science to find articles that cited the data collection article. We found that data reuse and data attribution patterns vary across repositories. Data reuse appears to correlate with the number of citations to the data collection article. This preliminary investigation has demonstrated the feasibility of this method for tracking data reuse.

Comments

DOI: 10.1002/meet.2011.14504801337

Copyright Statement

Copyright © 2011 by the Authors.

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 License.

Recommended Citation

Piwowar HA, Carlson JD, Vision TJ. 2011. Beginning to track 1000 datasets from public repositories into the published literature. Proceedings of the American Society for Information Science and Technology 48(1): 1-4.