Bits and Pieces

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.

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.

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

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.

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.