This framework helps you identify what data should be de-identified, and how to do it.
These resources will help you organize, understand and visualize your data appropriately. They also identify ways to share data responsibly inside or outside your organization and guard against data misuse.
A lightweight tool for data project implementers to help plan their projects and check whether they are being responsible with their data at every step, both for planned and emerging risks.
There was some serious responsible data energy produced in Budapest this week! It’s 2:15am but I’m still buzzing. Thanks so much @engnroom & @aspirationtech for three amazing days at #RDFbuda — max richman (@richmanmax) October 2, 2014 Aspiration led the RDF Responsible Resource Sprint at the home of Open Society Archives. In many ways this […]
This post is crossposted at Global Pulse and Data & Society Research Institute. On July 24th, approximately 30 experts from private sector, academia, civil society, law, and philanthropy convened in New York for a Responsible Data Forum on the topic of private sector data sharing for the public good. The topic of “data philanthropy” is ripe for exploration and interrogation, […]
09:00AM The first Responsible Data Forum is about to kick off! The room is filling up with participants, spirits are high and brains are firing up. The room is composed of a large and diverse group of people interested in defining the perils and pitfalls, best practices and collaborations around responsibility in data collection from […]
We just wrapped up the session on Responsible Data for Advocacy, part of the Responsible Data Program, on stage at RightsCon in San Francisco.