Simplifying Data Curation Through Tooling And Automation

In its Dataverse-based institutional repository, KU Leuven has a review phase for each dataset before publication to support researchers in publishing their data in a FAIR way. To streamline our curation workflow and free up as much time as possible for support, we have developed a review dashboard to track who reviews what. The dashboard plugs in to our Dataverse instance and automates part of the review process with a general checklist and automated feedback generation in addition to easily assigning and following up on dataset reviews. With the review dashboard, we aim to support human curation through automation and not replace it. This also means exploring automation options by building in automated checks. We'll share our road to the creation of the review dashboard and the work we are currently doing to further the implementation of curation supported by automated checks. We'll show the UI-side, but also provide a look into the logic of the automated checks. We hope to spark conversation on how to further support the human task of curation through tools and technology without losing the important human touch and interpretation that is so valuable to making a dataset as FAIR as possible.