Stanford Libraries staff will be leading an upcoming webinar on the advanced uses of the Bulk Extractor forensics tool titled “bulk_extractor: Beyond the Basics”. This is part of an ongoing series of webinars designed to dig a little deeper into the advanced functionality of the BitCurator software environment. These webinars are hosted by the BitCurator Consortium, of which Stanford is a charter member.
Blog topic: Born digital
We are excited to announce the release of ePADD v5.0 beta 1. This release introduces the ability to manage and merge accessions. It also introduces a robust label management system, offering users a more sophisticated way to implement and manage restrictions and other descriptive message labels.
How can we best make sense of the digital strands and data that comprise a 21st century life? Explore innovative solutions to this challenge and others facing both individuals in the digital age, and scholars in the cultural heritage and digital humanities sectors, at the Personal Digital Archiving (PDA) 2017 Hackathon. The Hackathon is sponsored by Stanford University Libraries and will be held from March 31 - April 1, 2017 at the Jen-Hsun Huang Engineering Center on the Stanford University campus.
We are thrilled to announce the final release of ePADD v3.0, which introduces an entity merge interface, unique IDs, greater customization options, UI changes, and other fixes. Grab the new version and view the complete release notes here: https://github.com/ePADD/epadd/releases. Additional updates (including news about an upcoming hackathon and spring presentations) after the jump...
We're excited to announce the release of ePADD 2.1, which contains a new customizable configuration file, an additional lexicon - microbiologist persona, and other minor fixes. You can grab the new version here: https://github.com/ePADD/epadd/releases.
On Friday, Oct. 21st, Green Library welcomed data provider representatives from nine different sources at the Gear Up for Social Science Data Extravaganza. The event featured “Data Talks”, time for individual consultations, a Drop-in R lab and a data visualization demonstration using R.