Dataverse 4.16

This release brings new features, enhancements, and bug fixes to Dataverse. Thank you to all of the community members who contributed code, suggestions, bug reports, and other assistance across the project.

Release Highlights

Metrics Redesign

The metrics view at both the Dataset and File level has been redesigned. The main driver of this redesign has been the expanded metrics (citations and views) provided through an integration with Make Data Count, but installations that do not adopt Make Data Count will also be able to take advantage of the new metrics panel.

HTML Codebook Export

Users will now be able to download HTML Codebooks as an additional Dataset Export type. This codebook is a more human-readable version of the DDI Codebook 2.5 metadata export and provides valuable information about the contents and structure of a dataset and will increase reusability of the datasets in Dataverse.

Harvesting Improvements

The Harvesting code will now better handle problematic records during incremental harvests. Fixing this will mean not only fewer manual interventions by installation administrators to keep harvesting running, but it will also mean users can more easily find and access data that is important to their research.

Major Use Cases

Newly-supported use cases in this release include:

  • As a user, I can view the works that have cited a dataset.
  • As a user, I can view the downloads and views for a dataset, based on the Make Data Count standard.
  • As a user, I can export an HTML codebook for a dataset.
  • As a user, I can expect harvested datasets to be made available more regularly.
  • As a user, I'll encounter fewer locks as I go through the publishing process.
  • As an installation administrator, I no longer need to destroy a PID in another system after destroying a dataset in Dataverse.

Complete List of Changes

For the complete list of code changes in this release, see the 4.16 milestone in Github.

For help with upgrading, installing, or general questions please post to the Dataverse Google Group or email