Researcher Highlight: Divyansh Kaushik and the Fascinating Data Behind Natural Language Comprehension!

Hello Datascapers! I’m bringing this feature to you from Washington D.C., where I’m currently at a conference that is exploring public access to research data - an incredibly important topic of discussion (learn more here: https://www.aplu.org/projects-and-initiatives/research-science-and-technology/public-access/)!

Data Management Plans: The Original Love Letter to Your Data

Hello Datascapers! This week brought us a wide variety of weather, from a sunny start to the week, to a cold mid-week, to a rainy end of the week. Moving from Knoxville almost seven months ago, I still haven't gotten used to the quick weather changes that happen in Pittsburgh. I don't know about you, but this has wreaked havoc on my sinuses! While we're in a busy time of the semester (which, let's be honest, that could be said for the whole semester!), I'm trying to make time for some rest and some fun, which for me entails lots of tea and Netflix. 

Bagels and Bioinformatics: NCBI Codeathon at CMU Libraries

Happy Friday, Datascapers! Now that we are a couple of weeks into the semester, how is everyone feeling? Are you staying hydrated? If you are like me, it’s a struggle to remember to drink water throughout the busy day, and by the end of the day, you have a significant dehydration headache and feel like a dried-out sponge. Or maybe that’s just me. Regardless, I love to use phone apps to help me remember to drink water.

CMU Comment on Draft NIH Data Management and Sharing Policy

Carnegie Mellon University Libraries Comment on NIH’s DRAFT Data Management and Sharing Policy and Supplemental DRAFT Guidance

On behalf of the Carnegie Mellon University (CMU) research community, the University Libraries has collated feedback from our research community and institutional leadership that responds to NIH’s Draft Data Management and Sharing Policy and Supplemental Draft Guidance.  This response is based on CMU’s data sharing practices, our experience and institutional support in the data sharing arena, and specific feedback from those in receipt of NIH funding.

Open Science at CMU Libraries

Ana Van Gulick at Open Science Symposium

What do examining bee behavior, classifying digital document types, analyzing road segmentation for self-driving cars, and decoding language in the brain from MRI scans all have in common? They all require large amounts of data that is well documented and reusable. Fostering this type of research and data curation is one goal of the growing Open Science movement and of the Carnegie Mellon University Libraries’ Open Science Program. 

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