Most researchers and scholars are aware that they are required to cite the sources from which they draw ideas and direct quotes. It may come as a surprise, then, that researchers generally do not cite the open, public, or shared datasets that they use in their research, partly because few clear standards for citing datasets currently exist. This issue was one of the many discussed at the 2011 Data Cite Annual Meeting held in Berkeley, CA on August 24-25. Other topics of discussion included leveraging Internet technology to reinvent the journal as a research and collaboration tool, designing new ways to share data, and promoting tools for analyzing and managing data.
Interestingly, a recent study by Piwowar, Day, and Fridsma found that making data publically available is associated with a nearly 70% increase in citations, so researchers have good reason to share their data. The UCLA Library offers a number of services to assist researchers with data sharing, including the EZID service, help with finding publically available datasets for research, and advice on preparing datasets for sharing. To learn more about the Library’s services or request assistance, please contact email@example.com.
- For more on the practice of citing sources, see the Biomedical Library blog series on AMA citation style.
- For a recap of the Data Cite Annual Meeting, see the Data Cite blog.
<submitted by Lisa Federer>