Bits and Pieces

In Web Archiving, do you get just the images or the entire site with most functionality intact?

This blog will cover the process of just getting the image files and related text in Part 1. Part 2 will cover the process of making the JavaScript-enabled site function when run locally, allowing the content to have more meaning by being displayed in context.

In 2024, The U-M Library Digital Preservation Lab uncovered an almost decade-old mistake in our metadata workflow. Luckily, we were able to use this as a learning experience to think about how we can anticipate future changes to metadata formatting standards in the digital archaeology space.

In response to the rise in book challenges in Michigan and across the country, a new web archive has been created to preserve, to the best of our ability, information regarding attempts to change collection development policies in public schools and public libraries.

The 2023 iPres conference at the University of Illinois in Champaign-Urbana brought an international community of digital archivists to the Midwest for a week of sessions that explored a range of digital preservation challenges.

Part two of our ongoing series on getting our dark repository back up and running. This post outlines our approach to moving forward.

In this interview, Dr. Adam Rountrey is the Research Museum Collection Manager (Vertebrates/Plants) and 3D Specialist at the University of Michigan Museum of Paleontology (UMMP) describes his research on hormone levels in woolly mammoth and African elephants tusks. Several CT scans of these specimens are available in Deep Blue Data.

In this interview, Yingxiao Zhang (PhD candidate in the Climate and Space Sciences department) describes why she decided to share the data set entitled "Simulated historical (1995-2014) and future (2081-2100) pollen emission using PECM2.0" in Deep Blue Data.

In this interview, Dr. Adam Schneider (U-M alum; PhD in Atmospheric, Oceanic and Space Sciences 2018) described why he decided to share the data set entitled "Supporting data for the Near-Infrared Emitting and Reflectance-Monitoring Dome" in Deep Blue Data.

In this interview, Nate Clemett (Master's student in the naval architecture and marine engineering department) describes his research and why he decided to share his data set entitled "Flywheel Energy Storage System Roll Dataset" in Deep Blue Data.

In this interview, Dr. Wilkinson Daniel Wong Gonzales (U-M alum; PhD in Linguistics 2022) describes why he decided to share the data set entitled "The Lannang Corpus (LanCorp): A POS-tagged, sociolinguistic corpus containing recordings and transcriptions of Lannang speech collected from the metropolitan Manila Lannangs between 2016 and 2020" in Deep Blue Data.