Updates on our work in digital preservation and research data.
Bits and Pieces
Posts in Bits and Pieces
Showing 21 - 30 of 78 items
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.
An overview and lessons learned from challenges faced in the management of our dark repository.
Turmoil at Twitter is causing concerns about the platform’s long-term stability. Here are a few methods for copying and preserving your Twitter data.
In the summer and early fall of 2021, the Digital Preservation Steering Committee undertook a focused assessment to surface current roadblocks to implementing a more comprehensive digital preservation program. Keep reading to find out the results and our plan to address our programmatic gaps!
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In the Spring of 2021, a researcher I regularly work with informed me that he had included the citation to his dataset in the References section of the paper that he had just submitted to AGU JGR Planets, https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JE006875. I thought it was an excellent opportunity to follow one of our datasets through the process from a mention in the References section all the way through to the DataCite Data Metrics badge, https://support.datacite.org/docs/displaying-usage-and-citations-in-your-repository, in the Deep Blue Data repository indicating this dataset has been cited.
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In early 2021, I was trying to verify whether the DataCite Data Metrics badge, https://support.datacite.org/docs/displaying-usage-and-citations-in-your-repository a tool for displaying usage and citation information, was working or not. However, I had no easy way of knowing whether any of our researchers had actually cited any of the data sets we host in Deep Blue Data in their published articles, let alone whether other researchers had. So, I decided to begin the process of adding citations to our datasets via the DataCite API, based on information we have in our “Citations to related material” field. I was using the instructions on https://support.datacite.org/docs/contributing-data-citations#.
The following is my process and the results of that process.
The following is my process and the results of that process.