Exploratory Analysis of Metadata Edit Events in the UNT Libraries’ Digital Collections Dublin Core International Conference Wednesday, September 2, 2015 São Paulo, Brazil
Who?
Percentage of Total Edits and Total Users by Editor Classification
What?
Number of Edits for Top Ten Most Edited Partner Materials
Number of Collections Edited, for Top Ten Most Edited Partners
Number of Edits for Top Ten Most Edited Collections
How Long?
Time Comparisons
Number of Records Edited and Average Time, By Type
Average Time for the Top Ten Editors
Average Time for the Top Ten Most Edited Collections
Findings & Next Steps
(1) We can provide general average editing times
(2) We can reasonably use edit data to determine if editors are “completing” records or making minor changes
(3) This information can be used by supervisors and project managers
(4) This data can also be used to estimate costs
(5) Others can use this data as a point of comparison
Questions? Hannah Tarver Mark Phillips