Peter Cerda
Posts by Rachel Woodbrook
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!
Open Access Week 2023 is upon us! The theme this year is "Community over Commercialization."
This theme emphasizes transparency and equitable access to knowledge, which directly aligns with the goals of an institutional repository. Deep Blue Repositories, offered by the University of Michigan Library, facilitates the free and open sharing of research content generated and used in support of research activities at U-M.
This theme emphasizes transparency and equitable access to knowledge, which directly aligns with the goals of an institutional repository. Deep Blue Repositories, offered by the University of Michigan Library, facilitates the free and open sharing of research content generated and used in support of research activities at U-M.
We are excited to share the publication of "Archaeological Investigations in a Northern Albanian Province: Results of the Projekti Arkeologjik i Shkodrës (PASH)" Volumes 1 & 2, edited by Michael L. Galaty and Lorenc Bejko, along with the associated data set on Deep Blue Data Repository. See the UM Press blog (https://press.umich.edu/Blog/2023/10/An-Interview-with-Michael-L.-Galaty) for the whole interview!
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, 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.