Dataset Bingo! Teaching Data Management Best Practices Through Exploration of Shared Datasets
Making data management lessons stick for learners can be a challenge. We have developed a dataset bingo game that provides an unorthodox opportunity for learners to take note of data management practices that can be applied to datasets in any field, thus making it a flexible learning activity across disciplines. By having learners investigate shared datasets in their field, they not only gain exposure to scholarly communications practices around data sharing, but also experience the real-world impact of good or bad data management practices. MDLS participants will have the opportunity to try an in-development version of this activity and provide feedback. This iteration of the game will be physical, but we intend to also make a version that can be played virtually. Over the course of the workshop, we will cover the context for the activity, play the game with participants, facilitate a discussion about how participants may apply it at their own institutions, and provide files for running and adapting the activity.
Institutions
- University of Kentucky (US)
- Iowa State University (US)
- Universidad del Noreste (MX)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-08
- DOI
- https://doi.org/10.5281/zenodo.17297232
- Primary Topic
- Clay minerals and soil interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00