Before you can present data to others, you need to collect and curate it, and you may need to otherwise process the data as well. How do you go about doing that in your work?
- What percentage of data collected are specific metrics you actively track vs. from platforms that passively collect data (and then you pull out the most pertinent information for reporting purposes)? Pros/cons/pitfalls to avoid?
- Do you collect data entered manually by volunteers? How do you ensure the quality of the data?
- Do you blend data from multiple sources? How do you make sure you’re comparing apples to apples?
- How much and what kind of cleanup is performed on the data you collect before visualizing it?
- What are your biggest lessons learned when preparing data for visualization or to otherwise present to others that have changed the way you collect or process data?
- How do you keep track of changes to how data was collected or how specific measures were tracked over time?
- Does you or your organization have any 2019 initiatives around data collection that are currently underway?
We invite you (if you would like) to share an example of a data visualization as reference when talking about the data collected and how you prepared it to create the visualization. How? By adding it to the Gallery section of the notes for the January 2019 call.
Whether you have an example to share or simply want to gain some insights into the process, we hope to have a thoughtful discussion filled with your ideas, concerns, and questions about getting from data collection to visualization (or presentation).