Repositories for searching for scientific datasets (for data science etc.)
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- Stars
- 17
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
Most people are aware of how to find open-source datasets using Kaggle and Google:
Kaggle Datasets: https://www.kaggle.com/datasets
Google Dataset Search: https://datasetsearch.research.google.com/
But there are also interesting repositories of scientific experimentation data, for example:
Harvard Dataverse: https://dataverse.harvard.edu/
University of Michigan's ICPSR: https://www.icpsr.umich.edu/web/pages/
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by inspecting the repository's existing resource organization and compare it with the issue's examples: Kaggle, Google Dataset Search, Harvard Dataverse, and ICPSR. Determine where scientific dataset repositories belong and what format existing entries use; done means the relevant resources are added consistently, with working links.
Written by the indexing model from the issue text.
Assessment
- Domain
- content, documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100