The Data Equity Framework is a process that helps you to identify the many key choices you’ll have to make in a data project and provides tools and strategies to help improve your choice-making to better align with your equity goals. The other day someone raised a...
This is a quick tool that you can use when examining the equity implications of your data relationship. To learn about data relationships and the interplay of price, value, ownership, and profit, check out the original article here. Data equity is about power...
When we want to address equity in data science, we often need to talk about power and we sometimes need to talk about money. It can be useful to think about an individual’s data like a raw resource, you could call it something cheesy like “Dataonium”. There’s a reason...
Does Paying or Compensating Survey Respondents Negatively Affect Response Quality or Reliability? At We All Count, we think a lot about how to increase the equity of the data gathering process. We make a living off of the data science ecosystem and so do many of our...
At our recent Talking Data Equity session, 150+ people turned up to discuss one of the most important (and frustrating) parts of the data ecosystem in the mission-driven sector: Requests for Proposals (RFPs). If you haven’t been through such a process, it’s...
Pay equity analysis is one vital way of embedding equity with data. Not only is it the law in an increasing number of places, but it’s the right thing to do! There are numerous ways to conduct a pay equity analysis, some much better than others. In this series, we’re...