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!
- citizen_science – introductory "landscape survey" for getting acquainted with citizen science
- data_visualization – survey of some visualization options for archived URLs
- fairness_in_data – data justice and algorithmic fairness
- metadata – summaries of some systems designed to infer data and metadata
- motivations – research motivating different goals in Data Together
- web_harvesting – summaries of different approaches and issues in crawling web pages
- web_archiving – comparison of different web archiving software tools
Contribution guidelines are described in CONTRIBUTING.md, but 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! Pull requests are welcome and will be merged aggressively.
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.
- Compile knowledge in raw markdown files
- Restructure this into a GitHub pages project