DataVersify: A framework for data literacy instruction featuring scientist stories
Clicks: 14
ID: 324236
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
3.9
/100
14 views
10 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #12 of 26 articles by views in Integrative organismal biology (Oxford, England)
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Abstract Developing student data literacy is a core goal of biology education, yet many students struggle to engage with scientific research and data. DataVersify is a resource designed to support data literacy while simultaneously humanizing science. These activities integrate two established programs, Data Nuggets and Project Biodiversify, to engage students in the work of scientists and introduce them to the people behind the research. Within each activity, students encounter a scientist profile, read about a study, explore and visualize a dataset, construct evidence-based explanations, and ask questions of their own. Here, we synthesize over a decade of resource development and classroom-based research to share the features of DataVersify activities, and examine how they influence student engagement with data literacy activities and perceptions of scientists. We found that pairing data literacy activities with humanizing details about a scientist’s life in and out of science increases students’ ability to relate to scientists and engage with course materials. We present six evidence-based recommendations for using DataVersify to teach effectively in the classroom, including emphasizing authenticity, pairing data with scientist stories, and highlighting a variety of contemporary role models. Together, our work demonstrates how integrating authentic data experiences with scientist stories can support student outcomes in data literacy and biology education.
| Reference Key |
openalex_W7196981424
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Elizabeth H. Schultheis, Raleigh S Bellard, Robin A. Costello, Carolyn D K Graham, Melissa K. Kjelvik, Aarcha Thadi, Cissy J. Ballen |
| Journal | Integrative organismal biology (Oxford, England) |
| Year | 2026 |
| DOI |
10.1093/iob/obag045
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.