Measuring data (and documentation) quality is hard (opens in new tab)

Gwen Windflower asks : Data is a woven net thrown over the world, capturing it in a grid of variable resolution. We want to capture as much detail as we possibly can, but it’s then crucial to make judicious decisions about how we translate what we capture into a useful map. Documentation involves a similar discernment process as data analysis and data engineering—given a large set of inputs, identify how to make sense of the output and where to start first. Defining priorities and classifying...