Your students are not just statistics. They aren't simply a set of numbers or faceless dots on a proficiency scale. They are vibrant collections of experiences, thoughts, perspectives, emotions, wants, and dreams. And taken collectively, all of that information is data--and should be valued as such.

Equity in Data not only unpacks the problematic nature of current approaches to data but also helps educators demystify and democratize data. It shows how we can bake equity into our data work and illuminate the disparities, stories, and truths that make our schools safer and stronger--and that help our students grow and thrive.

To this end, the authors introduce a four-part framework for how to create an equitable data culture (along with a complementary set of data principles). They demonstrate how we can rethink our approach to data in the interest of equity by making five shifts:

* Expand our understanding of data.
* Strengthen our knowledge of data principles.
* Break through our fear of data.
* Decolonize our data gathering processes.
* Turn data into meaningful, equitable action.

We have an opportunity to realign school data with what students want out of their educational experiences. When we put equity first, we put students first.