Posts tagged with research data services in Blog Bits and Pieces

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.

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.

In this interview, Dr. Brandon Ponder, Ph.D., describes his research as a graduate student in the Climate and Space Sciences and Engineering Department and why he decided to share his data set entitled "The Venus Global Ionosphere-Thermosphere Model (V-GITM): A Coupled Thermosphere and Ionosphere Formulation" in Deep Blue Data.

This Love Data Week, Deep Blue Data celebrates 1,000 curated and published datasets!

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! Peter Cerda is Data Curation Specialist for Workflows and Big 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.

One of the main activities the Deep Blue Repository & Research Data Services team conducts is data curation(1)--that is, actions that provide meaningful and enduring access to data. The accessibility of research data has been an under-discussed phenomenon in the field of research data management, but we are excited to announce the release of a new resource intended to help curators as well as researchers approach the release of research data with the goal of maximizing accessibility--in particular for those with disabilities, neurodivergence, and/or who use assistive technologies.

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.