| 1 – Select question & datasets |
Choose a [project question][quest] and identify the [relevant datasets][data] |
| 2 – Plan & assign tasks |
Identify component tasks to answer question, plan analyses, and assign roles to group members |
| 3 – Preliminary analysis & reflection |
Complete preliminary analyses (e.g. summary statistics) and evaluate data suitability |
| 4 – Background research |
Relate analyses to previous research on the topic (e.g. what has been found, how has it been communicated?) |
| 5 – Revisit question |
Revisit suitability of datasets for the question and reframe the question as needed |
| 6 – Team check-in |
Evaluate the remaining tasks, assignments to team members, and question |
| 7 – Start Shiny app |
Craft the message, layout, and code for Shiny app (it's ok to use dummy data if the analyses aren't done) |
| 8 – Minimum viable app |
Finish a minimum viable Shiny app that addresses the selected question and collect team member feedback |
| 9 – Limitations |
Explicitly identify the assumptions, caveats, and limitations of the data and analyses |