Stanford Libraries’ digital collections contain personally identifiable information and other forms of high-risk data, such as student, medical, and otherwise sensitive records. Archives staff must abide by archival ethics, state law, federal law, and data security requirements set by Stanford University, while making as much material available to the public as possible. Implementing workflows for high-risk data review creates challenges of scale and sustainability. This presentation will outline why and how to review collections for high-risk data, technical approaches, the ongoing evolution of review guidelines.

Annie Schweikert (she/her/hers) is a digital archivist at Stanford Libraries, where she processes, preserves, and makes accessible born-digital archival collections.

Victor Aguilar III is Lab Assistant in Digital Library Systems and Services at Stanford Libraries.

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