Extracting Data from Office Documents Exercise
Cal Lee, Kam Woods | BitCuratorEdu Project
This hands-on exercise is meant to introduce students to methods for extracting hidden data from Microsoft Office files. These slides are excerpted from Cal Lee and Kam Woods’s SAA “Advanced Digital Forensics” class. The sample data referenced in these slides is available here: https://github.com/BitCurator/bcc-dfa-sample-data/
The exercise is available for free download as a PDF or Google Slides, below.
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- Practice using tools in the BitCurator Environment.
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About this resource
This resource was released by the BitCuratorEdu project and is licensed under a Creative Commons Attribution 4.0 International License.
Most resources from the BitCuratorEdu project are intentionally left with basic formatting and without project branding. We encourage educators, practitioners, and students to adapt these materials as much as needed and share them widely.
The BitCuratorEdu project was an effort (2018-2022) funded by the Institute of Museum and Library Services (IMLS) to study and advance the adoption of digital forensics tools and methods in libraries and archives through professional education efforts. This project was a partnership between Educopia Institute and the School of Information and Library Science at the University of North Carolina at Chapel Hill, along with the Council of State Archivists (CoSA) and several Masters-level programs in library and information science.Google Slides PDF
Cal Lee, Kam Woods. (May 25, 2022). Extracting Data from Office Documents Exercise. BitCuratorEdu Project.