The following peer-reviewed article was published in the latest issue (Vol 13 No 1) of the International Journal Of Digital Curation.
Title
Authors
Amy Koshoffer
University of Cincinnati
Amy E. Neeser
University of California Berkeley
Linda Newman
University of Cincinnati
Lisa R Johnston
University of Minnesota
Source
International Journal Of Digital Curation
Vol 13 No 1 (2018)
DOI: 10.2218/ijdc.v13i1.632
Abstract
This research study compared four academic libraries’ approaches to curating the metadata of dataset submissions in their institutional repositories and classified them in one of four categories: no curation, pre-ingest curation, selective curation, and post-ingest curation. The goal is to understand the impact that curation may have on the quality of user-submitted metadata. The findings were 1) the metadata elements varied greatly between institutions, 2) repositories with more options for authors to contribute metadata did not result in more metadata contributed, 3) pre- or post-ingest curation process could have a measurable impact on the metadata but are difficult to separate from other factors, and 4) datasets submitted to a repository with pre- or post-ingest curation more often included documentation.
Direct to Full Text Article
21 pages; PDF.
About Gary Price
