Ames

This release adds video files to the media types supported for DataCite updates, and introduces the ability to update Eprints records using the API (currently just for resolver updates).

It also includes are a lot of new reports, such as:
-People search from feeds.library.caltech.edu
-Records with alt_url field in Eprints repositories
-Creators in Eprints repositories
-Accessions in ArchivesSpace
-Discrepancies in resolver_url in Eprints repositories
-Search for groups in other fields in Eprints repositories

New checks:
-Ensure alternate identifiers are not repeated in CaltechDATA

Bug fixes:
-Switched to DOI prefix-filtered event data feed due to the now massive size of the unfiltered feed
-Fixed issue in usage reports where records with only downloads were showing up in incorrect months

This release includes a complete workflow for collecting repository resource usage from Matomo, processing usage following the COUNTER code of practice (https://www.projectcounter.org/counter-code-practice-research-data-usage-metrics-release-1/), and submitting reports to DataCite. There are also improvements to event data processing that makes processing faster and will work with the latest version of dataset.

This release includes changes to support the pre-1.0 version of py_dataset (v0.0.67) and adds two CaltechTHESIS reports that map to existing exports from Eprints. For this release all python files were reformatted using black (https://github.com/python/black); this automatic formatting tool will be used with all future releases.

This release includes an updated codemeta parser which is a bit more forgiving to alternative codemeta variants. It includes a set of scripts to harvest usage from matomo, parse according to COUNTER specifications, and add back into CaltechDATA. It is updated to work with version 0.1.3 of caltechdaata_api and pass back user information. It also includes a more flexible DOI metadata update capability that can handle different DataCite usernames and prefixes.

This release contains a lot of cleanup and an all in one install process for the eprints utilities. This is the first tested release for Windows.

This release transitions to using the standalone py_dataset wrapper. It includes completely revamped usage reports for CaltechDATA, including preparation of COUNTER reports for submission to DataCite. There are also improvements to CodeMeta including functions to get CodeMeta from DataCite and build a CaltechDATA DOI badge for a GitHub repo. This release also adds monograph information to the DOI report and includes other general cleanup and reorganization.