CORONAVIRUS UPDATE: All visitors to Hunt Library must reserve a seat to study.
We will continue to offer curbside pickup and online reference services during this time. Read more in the University Libraries' COVID-19 FAQ.
As instructors prepare for hybrid instruction this fall, the University Libraries continue to support remote learning with a new unlimited license for The Journal of Visualized Experiments (JoVE), a suite of resources that can be used to teach scientific methods and concepts for lab and lecture courses.
Carnegie Mellon University has subscribed to GrantForward Funding Opportunity Search and Recommendation service, which is open to all members of our institution. We invite you to sign up to use the service to keep your awareness of funding opportunities.
Collaboration is at the heart of the cutting-edge research and teaching that has put Carnegie Mellon University at the forefront of technological and social innovation. In the day-to-day workflow of research, this can mean the sharing of ideas or the results of analyses that come from spontaneous conversations with benchmates and office neighbors. Teaching is often a naturally collaborative endeavor as well, with students working together in the classroom and on client-based experiential projects.
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.
Searching the patent literature can be a frustrating experience. In many cases, the titles of patents describe what something does instead of what it is (or what it might eventually be called). The classic example is "X-Y POSITION INDICATOR FOR A DISPLAY SYSTEM" (US 3,541,541) - that's Douglas C.
Every year around Valentine’s Day, universities and libraries around the world participate in Love Data Week, an effort to raise awareness related to managing, sharing, preserving, and reusing research data. Carnegie Mellon Libraries is no exception. This year, you’ll be able to find us tabling at the libraries on campus all week, with cookies, candies, giveaways, and data valentines to get students and researchers thinking about the importance of loving and caring for their research data.
What is your story… This is a question Emma Slayton and Jessica Benner have been asking through our work with Geographic Information Systems (GIS) at Carnegie Mellon University Libraries. Both of us are excited to develop new services, learning opportunities, and spaces for discussion centered around spatial research. For example, earlier this year, we began offering open
office hours for those with questions concerning mapping or spatial datasets (Wednesdays between 12 and 3pm in the Sorrels library, Wean Hall floor 4).
Science research output has historically been difficult to access and reuse. It is often published in journals with very expensive subscription costs, typically paid for by university libraries. The data and code used to generate figures in publications are commonly not shared or are only shared by request. These practices have made it difficult for scientists to access, reuse, and reproduce the work of others, and have in part led to a widely reported "reproducibility crisis" in science. A related concern is that the public, which pays for a lot of science research with tax dollars, cannot access much of it.
I recently fielded a reference inquiry from an early-career researcher who was preparing to publish a manuscript based on work she had done over the preceding semester. The research direction, however, had kicked off years before, while the researcher was still a graduate student working under an advisor in a different institution, a person she had not seen or heard from since graduation. “The whole original idea came from my advisor,” the researcher began. “Don’t I have an obligation to list them as an author on this new paper?”
Open Science Framework is a free and open source tool that can be used for managing projects and collaborations in any discipline. OSF is a great way to keep track of all of the different files that are part of a complex research project. You can store files directly on OSF cloud storage (unlimited number of individual files that are under 5 GB each) or sync popular third-party applications such as Google Drive, Box, Dropbox, Amazon S3, GitHub, figshare, Mendeley, and Zotero to the project.
