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10 Community-Centric Data Principles

an abstract image of geographical shapes about community-centric data principles

I was recently asked at a panel – “what is good data?”

See, I believe data – by itself – is powerless. What gives it power, what makes it good or bad, is our intentions and purposes with it.

And what makes us accountable with that data are our repeated and committed actions of transparency.

How you and I intersect in the same data, where you and I meet, and where you and I differ—all of it depends on how we coexist in the data.

This is why, to me, good data is the one that is collected, stored, and strategized not to create harm but to give a fair chance to all those living in that data to do better.

Most days, my work is about protecting that statement above.

This is why I drafted these ten statements of community-centric data two years ago, and they still apply to my intentions.

Engage with the statements below, and make them your own.

If you and I are already part of many datasets (and now, with Gen AI, we will be stored in data in new ways), we must learn to question, challenge, reject, and, yes, embrace data appropriately.

Now I ask you – what is good data?

Download the community-centric principles below.

Community-Centric Data Principles
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