To solve some of our greatest global challenges we need to accelerate how we use data for good. But to truly make data-driven tools that serve society, we must re-imagine data for social impact more broadly, more inclusively, and in a more
interdisciplinary way.This is easy to talk about, but harder to act on as we work to build a new field of data for social impact.
Data is open if it can be freely accessed, used, modified and shared by anyone for any purpose - subject only, at most, to requirements to provide attribution and/or share-alike. Specifically, open data is defined by the Open Definition and requires that the data be A. Legally open: that is, available under an open (data) license that permits anyone freely to access, reuse and redistribute B. Technically open: that is, that the data be available for no more than the cost of reproduction and in machine-readable and bulk form.