Posts tagged with Research

The Initiative Team through M-HEAL details their process of creating portable, inexpensive, and safe bassinets that are able to incubate newborns. Through feedback from medical personnel and library staff, they are able to improve future versions of the bassinet and its associated baby carrier to combat neonatal hypothermia.

On April 2nd, 2025, ten delegates from the University of Michigan's Society of Women Engineers (SWE) chapter traveled to Washington, D.C., to participate in SWE’s annual Congressional Outreach Day. Through representing the voices of countless women and marginalized individuals who are often excluded from governmental conversations, U-M SWE members endorsed a targeted list of federal legislative priorities and funding requests to ensure the success of marginalized groups working in STEM.

In this interview, Dr. Amir Salaree (Research Fellow at the Department of Earth and Environmental Sciences) describes his research and why he decided to share his data set entitled "Supporting Data for Solving a Seismic Mystery with a Diver's Camera" in Deep Blue Data.

This post highlights one of the new members to the DBRRDS team! Daniel Alexander is Data Curation and Research Reproducibility Specialist. He'll be working jointly with MIDAS and the DBRRDS team.

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.

Source evaluation is an important skill in our information landscape, which is why librarians teach this concept to students during course-integrated information literacy sessions. As part of an IMLS grant, our research team is conducting a two part study to understand the impact of library instruction on students’ evaluation of sources. In this post, we discuss the use of a questionnaire and role-playing interviews to learn more about students’ confidence in their evaluation abilities.