This guide is designed to introduce you to library resources and services that can support your research, learning, and professional development throughout your studies. For a comprehensive overview of all the services we offer, please visit our full list of library services. You can also explore our YouTube tutorials for step-by-step guidance on using library resources and research tools.
If you have questions or would like to discuss how the library can support your work, please reach out to me!
From the CMU Library Homepage you can search for materials across the library system including books, music, dissertations, and journal articles.
You can search by keywords, title, author or call number using the Advanced Search feature of the library catalog.
The results page will list CMU holdings and will be sorted by relevance by default. You can sort by date, author, or title using the drop-down menu to the left of the search results.
If the library doesn't have what you're looking for, consider Interlibrary Loan for access to non-CMU holdings.
We offer a variety of workshops on data and coding topics, including Python, R, GitHub, SQL, data visualization, and open science practices. Sessions are free and open to all. Visit our workshop calendar and register for a workshop today!
The University Libraries provides evidence synthesis support to CMU students, researchers and staff. Evidence synthesis includes methods such as systematic reviews and meta-analyses, scoping reviews, systematic mapping reviews, rapid reviews and other systematic or structured approaches to literature reviews.
Learn more in the Evidence Synthesis Research Guide or submit a consultation request to discuss your needs!
The LibKey Nomad browser extension provides one-click access to the Libraries' full text resources as you find research on the web and in databases. It only takes a couple of minutes to install. Find information on how to install here.
Want to get more out of something you already use? Configure Google Scholar so you can access CMU licensed materials.
The AI in Research (AIR) Program offers expert guidance, practical training, and a supportive community for using generative AI and other AI-powered tools in academic research. Whether you're curious about what's possible or looking to refine your approach, AIR is a space to learn, share, and connect with others navigating similar tools.
Join us on the first Wednesday of every month from 12-2PM in Sorrells Library! Bring your questions, ideas, and an open mind—we’ll explore the evolving role of AI in research together.
We can work with you on things like:
Collecting, cleaning, or managing your data
Structuring or combining datasets
Analyzing and visualizing data
Writing code in open-source languages, like Python, R, or Julia
Using tools like GitHub, SQL, or the Unix/Linux shell
Sharing your data or communicating your findings
Book an appointment today!
If you need help with other tools, such as C/C++, HTML/CSS/JavaScript, or proprietary software like MATLAB, Stata, SPSS, Mathematica, or AutoCAD/SolidWorks, please contact Kristen directly (kscotti@andrew.cmu.edu, or book an appointment).
The Tartan Research Data Alliance brings together graduate students, post-docs, early career researchers, and research support staff interested in developing their research data skill sets and serving as data lifecycle liaisons to their departments and labs. As Tartan Research Data Fellows, participants in the program will learn about funder requirements, open science principles, and best practices in managing data across the research lifecycle while participating in a cohort that provides peer mentorship and community.
Click here to apply for the second cohort (2025-2026) of Tartan Research Data Fellows.
Deadline for applications is August 29th 2025.
Open Science and Data Collaborations (OSDC) is a University Libraries program supporting collaborative, transparent, openly accessible, and reproducible research across all disciplines at Carnegie Mellon University. We recognize that having well documented and automated research workflows, code, and datasets is essential to making research more interdisciplinary, efficient, and reusable as well as allowing researchers to leverage data science techniques.
Contact us for consultations on a large variety of topics related to open and reproducible research, and subscribe to our newsletter to learn more about upcoming open science events and opportunities!