Bits and Pieces

In this interview, Dr. Kathy Klinich, research scientist at the UM Transportation Research Institute, describes their research and why they decided to share their data sets entitled "Finite Element Models of Wheelchairs and Associated Components to Support Wheelchair Transportation Research" and "Evaluating Wheelchairs for Potential Use as Aircraft Seating: Test Data."

In this interview, Brian Derstine, research staff analyst with Morphomic Analysis Group in Michigan Medicine, describes their research and why they decided to share their data sets entitled "Dataset for: Relative muscle indices and healthy reference values for sarcopenia assessment using T10 through L5 computed tomography skeletal muscle area" and "Quantification of hepatic steatosis on post-contrast computed tomography scans using artificial intelligence tools [Dataset]" in Deep Blue Data.

In this interview, Dr. Jenna Stolzman, a recent graduate from the Mechanical Engineering PhD program describes their research and why they decided to share his data set entitled “Dataset for: Effects of crosswind and shroud geometry on performance of low-flow, non-assisted flares,” in Deep Blue Data.

In this interview, Dr. María Natalia Umaña describes her research and why she decided to share her data set entitled "Dataset of wood and leaf traits of tropical dry forests seedlings and adults" in Deep Blue Data.

This Bits & Pieces blog post talks about the Detroit Metro Area Communities Study (DMACS) and its expansion, the Michigan Metro Area Communities Study (MIMACS), and their initial releases of closed-ended response data via the U-M Library's Deep Blue Data platform.

As a fully Open Access institutional data repository, Deep Blue Data was built to serve the best interests of the public, our depositors and their academic communities. We partner with scholars to bring data into the world in a way that is comprehensible, trustworthy and useful.

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.

In this interview, Anja Sheppard, Ph.D. Candidate in Robotics, describes her research with the Field Robotics Group and why she decided to share his data set entitled "Machine Learning for Shipwreck Segmentation from Side Scan Sonar Imagery: Dataset and Benchmark" in Deep Blue Data.