From Data Citation to Scholarly Impact: Marking a Path and Clearing a Way for Access and Analysis
- From Data Citation to Scholarly Impact: Marking a Path and Clearing a Way for Access and Analysis
- Hilliker, Robert J.
Nurnberger, Amy L.
- Presentations (Communicative Events)
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- Presented on February 27, 2013 at Research Data Symposium, Columbia University, New York, NY.
- Starting from Mooney and Newton’s work on data citation (http://dx.doi.org/10.7710/2162-3309.1035) we decided to examine what happens to a data set after it is set on its path as a piece of scholarly communication. Briefly reviewing a selection of datasets, repositories, and platforms we found an uneven application of commonly accepted standards. Although guides for repositories such as Dryad or identifier registrars such as DataCite recommend inclusion of the key elements of Author, Title, Published date, and Publisher, there are two notable trends: to leave off the Material designator, leading to confusion when differentiating between data sets, and other data publications, and articles; and to unify the Electronic retrieval location and Persistent identifier. To encourage scholars to develop and cite data, consistent practices must be promulgated for data citation and indexing.
- Information science
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- Suggested Citation:
- Robert J. Hilliker, Amy L. Nurnberger, 2013, From Data Citation to Scholarly Impact: Marking a Path and Clearing a Way for Access and Analysis, Columbia University Academic Commons, https://doi.org/10.7916/D8VM4MKK.