Posts tagged with Deep Blue Data in Blog Bits and Pieces

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.

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.

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, 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.

We are upgrading the software that runs Deep Blue Data to Hyrax2. This upgrade will results in some changes and improvements to the user interface and functionality of the Deep Blue Data repository.

It is common scholarly practice to publish results of research, and it is becoming increasingly more important to share the underlying data. Data sharing allows for the replicability and verification of experimental findings and allow for reuse in new and unexpected ways. Sharing your data may also increase the impact of your research.