Building School Data Equity, Infrastructure, and Capacity Through FAIR Data Standards: Findable, Accessible, Interoperable, Reusable

• In Event: Facilitating Data Sense-Making With Teacher Professional Development, Data Literacy, Student Perspectives, and Equity for All

Abstract

Despite increasing calls to build equitable data infrastructures, the education field has yet to have a shared guideline around equitable education data management and stewardship. To address this gap, we propose one framework from the data governance literature: the FAIR (i.e., Findable, Accessible, Interoperable, Reusable) data management principles complemented by the CARE (i.e., Collective benefits, Authority to control, Responsibility, Ethics) principles. We argue that making education data Findable, Accessible, Interoperable, and Reusable (FAIR) is an issue of equity and as such, is central to equity-focused data reuse. We illustrate the importance of FAIR education data by synthesizing our research experience and literature at the intersection of data governance and equity-focused data use.

Authors

• Alex J. Bowers, Teachers College, Columbia University
  Presenting Author

• Yeonsoo Choi, Teachers College, Columbia University
  Non-Presenting Author

• Sarah Weeks, Teachers College, Columbia University
  Non-Presenting Author