Data · dataset · 2026
Fostering the development of Earth data science skills in a diverse community of online learners: A case study of the Earth Data Science Corps
Listed in National Center for Atmospheric Research
Todayâs data-driven world requires earth and environmental scientists to have skills at the intersection of domain and data science.
Description
These skills are imperative to harness information contained in a growing volume of complex data to solve the worldâs most pressing environmental challenges. Despite the importance of these skills, Earth and Environmental Data Science (EDS) training is not equally accessible, contributing to a lack of diversity in the field.
This creates a critical need for EDS training opportunities designed specifically for underrepresented groups. In response, we developed the Earth Data Science Corps (EDSC) which couples a paid internship for undergraduate students with faculty training to build capacity to teach and learn EDS using Python at smaller Minority Serving Institutions. EDSC faculty participants are further empowered to teach these skills at their home institutions which scales the program beyond the training lead by our team.
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Using a Rasch modeling approach, we found that participating in the EDSC program had a significant impact on undergraduate learnersâ comfort and confidence with technical and nontechnical data science skills, as well as their science identity and sense of belonging in science, two critical aspects of recruiting and retaining members of underrepresented groups in STEM. Supplementary materials for this article are available online.
Links
Get the data
- Publisher page n2t.net/ark:/85065/d7dv1q67 ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/fostering-the-development-of-earth-data-science-skills… ↗
National Center for Atmospheric Research dataset page
landing page · from data ucar edu
Catalogue records · 1
- CKAN API data.ucar.edu/api/3/action/package_show?id=dcdc99f2-ad40-4a8e-8600-d53894267… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Earth and space science informatics 77%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | dcdc99f2-ad40-4a8e-8600-d538942678b0 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:370402 | enrichment · data ucar edu | taxonomy-embedding@1.1.0 | title+keywords+description (77%) |
| concepts[field].local:field:earth-environmental | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| created_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| description | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /notes |
| publication_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| title | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /title |
| updated_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 |