Data and code to compare metadata quality of Figshare records related to electronic theses and dissertations

These datasets and code support an examination of how well research outputs associated with electronic theses and dissertations (ETDs), and shared on the Figshare platform, adhere to the FAIR principles.

Metadata were harvested using the Figshare API (https://docs.figshare.com). The resulting datasets include a 709 metadata records for datasets, figures, and media and 46 Collections that surfaced in a search for 'thesis OR dissertation.'

Aspects of this work were presented as a poster at the Southeast Data Librarian Symposium 13-15 October 2021. A link is in the references as well.

Changes in version 2:

Added link to symposium poster in description and references

Added link to API documentation

Added README

Fixed error in etd-datafullDataset-ETDs-with-collection.csv that added a row if the 'files' variable contained too many characters.

Changed license from CC BY 4.0 to CC0

Changes to version 3:

Change title to be more generic

Added updated datafiles and code

Removed one record that was not related to ETDs

Fixed funding information (earlier data collection did not captuer all grant information)

Added negative binomial R file

Record analysis includes more granular comparisons between figshare.com and institutional records

Change to version 4 and 5:

Fixed spelling errors