🎥 Session recording: https://youtu.be/yjENat8ts4Q?list=PLhV3K_DS5YfIr2HbYikIz4XMBXKTGytWY&t=5280 🎥

People spend much more time than they would like cleaning datasets from errors, and don’t have the technical skills to accelerate/automatise that work. How to help non-tech communities work with better data and spend less time doing this tedious job?

Open Data Editor is a lightweight desktop application helping people spot mistakes in their datasets. It works offline and runs smoothly on any kind of hardware, making it ideal for lower resource countries.

We are currently piloting the application with small organisations from around the world, so instead of the usual demo we propose a return on experience and genuine discussion about ODE with the organisations that have actually integrated it in their work.