Stages

💡 Project requirements as they progress through stages of development.

1

Challenge

🚧

Define questions to answer with data about issues that matter

  • Your questions hint at what data will be needed, helping to scope the project.
  • Acquiring data to meet the challenge is realistic within our time limits.
3

Research

⚗️

Scoping of data collection and prototyping strategy

  • Check the metadata and context of your data, the credibility of your sources.
  • A shared repository has been set up, your work on code and data is backed up.
4

Sketching

🎨

Evaluating and explaining to humans and machines

  • Annotate key datasets to reflect your understanding of the structure and content.
  • Make wireframes or sketches of your idea, attaching it as an image to your documentation.
5

Prototype

🐣

Efforts to improve the quality of the output

  • Gain more depth by exploring the data with visualisations and interactive interfaces.
  • We have checked permissions to use all assets, data, or code, and linked the sources.
6

Launch

🎈

Gaining insights on the problem defined in the beginning

  • While correlating and linking data fields, we are critical of causality.
  • Contact with the maintainers is possible to ask questions or send feedback.
7

Share

🚀

Thinking about audience and making the results public

  • The full results of this work have been showcased and published under an open license.
  • We have correctly attributed all sources, and thanked all contributors.
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