Curated list of data repositories for classroom data collection¶
Element · All elements
Evidence · no claims cited
Description¶
The session defines a data repository as "a place that holds data, makes data available to use, and organizes data in a logical manner," possibly a subject-specific location where researchers submit data. It supplies a linked list of repositories including data.gov, US Census Bureau, Google Trends, Kaggle, FiveThirtyEight, USGS, and Harvard Dataverse for teacher and student use.
Design Implications¶
Context¶
Requirements¶
- Internet access to reach the linked repository sites
Constraints¶
Target Learners¶
- Teachers of grades 3-8 and their students
Target Learning Goals¶
- Collecting and identifying relevant data sets
Related Elements¶
- Information Studies Taxonomy: a faceted organizational taxonomy for a digital repository
- EarthTime data visualizations provide interactive, time-lapse representations of large data sets for classroom discovery
- Civic Online Reasoning video library supports teaching accurate online data evaluation
- DataShop educational data repository and analysis platform
- PSLC DataShop public repository of online learning data
Examples¶
- Curating Resources
- Organized Online Resources
- Curated Material Selection
- Provide easily accessible resource repositories and assessment tools to reduce teachers' time spent searching for and adapting OpenSciEd materials
Key Sources¶
- Computational Thinking Boosters: Data & Analysis in 3-8. (2020). Webinar slide deck, NSF grant #1923314. https://www.nsf.gov/awardsearch/?AwardId=1923314
Page metadata
| Field | Value |
|---|---|
type |
element |
id |
data-repository-list-element |
title |
Curated list of data repositories for classroom data collection |
description |
The session defines a data repository as "a place that holds data, makes data available to use, and organizes data in a logical manner," possibly a subject-specific location where researchers submit data. |
status |
review |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — computational-thinking-boosters-data-analysis-in-3-8-2020 |
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