Guidelines for Data De-Identification or Anonymization

Organization: EDUCAUSE
Published: July 31, 2015

This document outlines high-level definitions, key challenges and risks, recommendations, critical first steps, and resources for the implementation and use of de-identified or anonymized data. It does not contain specific technical methods for the de-identification of particular data sets. The document is written specifically with institutions of higher education in mind; however, these high-level issues are likely common to most organizations attempting data de-identification.