
Step 3: Data Collection, Selection, and Preparation
*This Framework does not provide an exhaustive list of all decision points that are to be addressed in the process of an AI/ML project. Rather, it focuses on providing tools and guidance around the decision points which provide particularly strong opportunities for processes of co-creation. Below is a list of additional questions relevant to “Data selection, collection, and preparation” for consideration:
Have you identified all existing data sets and alternative data sources? Are there potential partner organisations that could provide access to data?
Is data publicly available or does it require 3rd party approval? Are there any legal requirements or barriers?
Lineage of data: Where does the data originally come from? How was it collected, curated and moved? Is its accuracy maintained over time?
How will training data be labelled? Are personal or organisational biases involved?