De-mystifying De-Identifying Data: Approaches to Preparing Public-use Quantitative and Qualitative datasets

Session Number: 3115
Track: Evaluation Policy
Session Type: Poster
Tags: ethics, evaluation accountability, International Evaluation, Open data, Respondent protection, transparency
First Author or Discussion Group Leader: Carina Rosado [Program Manager - Social Impact, Inc.]
Second Author or Discussion Group Leader: Miguel Albornoz [Program Associate - Social Impact]
Time: Nov 08, 2017 (07:00 PM - 08:30 PM)
Room: Poster 72

Theme: Learning to Enhance Evaluation
Audience Level: Beginner, Intermediate

Session Abstract (150 words): 

With the advent of “Open Data” and “Open Government” in recent years, an increasing number of governments and institutions are committed to contributing to global learning and accountability by making datasets publicly available. For evaluators, preparing datasets for public release requires balancing the concern for protecting respondent privacy while also seeking to maintain the value and integrity of the data. Drawing on experiences submitting public release datasets for U.S. government contracts, this poster will provide evaluators with a framework to de-identify quantitative and qualitative data. This poster will feature a lexicon of terms, outline approaches to assessing risk to respondent privacy and implementing risk mitigation strategies, and summarize resources for further detail. This poster will focus on providing practical applications of de-identifying datasets for public release.