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https://github.com/datatogether/research
📚 A compilation of research relevant to Data Together's efforts tackling the general problem of data resilience & interactivity
https://github.com/datatogether/research
docs research
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📚 A compilation of research relevant to Data Together's efforts tackling the general problem of data resilience & interactivity
- Host: GitHub
- URL: https://github.com/datatogether/research
- Owner: datatogether
- License: cc-by-sa-4.0
- Created: 2017-05-17T14:24:21.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-09-27T04:01:34.000Z (about 6 years ago)
- Last Synced: 2024-10-31T12:02:47.120Z (8 days ago)
- Topics: docs, research
- Homepage:
- Size: 7.27 MB
- Stars: 91
- Watchers: 11
- Forks: 11
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-starred - datatogether/research - 📚 A compilation of research relevant to Data Together's efforts tackling the general problem of data resilience & interactivity (others)
README
# Data Together Research 
This repository contains a compilation of research for tackling the general problem of data resilience & interactivity in all its forms. This is raw research, and doesn't necessarily need to culminate in a "point". Half the challenge of doing good work is knowing what already exists!
[](http://github.com/datatogether)
[](https://github.com/edgi-govdata-archiving/archivers.space)
[](./LICENSE)
## Overview of Contents
* [citizen_science](citizen_science) – introductory "landscape survey" for getting acquainted with citizen science
* [data_visualization](data_visualization) – survey of some visualization options for archived URLs
* [fairness_in_data](fairness_in_data) – data justice and algorithmic fairness
* [metadata](metadata) – summaries of some systems designed to infer data and metadata
* [motivations](motivations) – research motivating different goals in Data Together
* [web_harvesting](web_harvesting) – summaries of different approaches and issues in crawling web pages
* [web_archiving](web_archiving) – comparison of different web archiving software tools
## Getting Involved
We would love involvement from more people! If you notice any errors or would like to submit changes, please see our [Contributing Guidelines](./.github/CONTRIBUTING.md). The nutshell summary is: propose or submit any additions or changes relevant to Data Together. If you have a resource, piece of knowledge, anything that you'd like to share, contribute it! We try to map a topics to directories. Feel free to add more categories. If you'd like to add something that fits more than one category, feel free to put it in both.
We use GitHub issues for [tracking requests](https://github.com/datatogether/research/issues) and Pull Requests (PRs) for [submitting changes](https://github.com/datatogether/research/pulls). Pull requests are welcome and will be merged aggressively.
## License & Copyright
Unless otherwise noted, Data Together Research Materials are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
See the [`LICENSE`](/LICENSE) file for details.
## 🚴♀️ Roadmap
1. Compile knowledge in raw markdown files
2. Restructure this into a GitHub pages project