CMU Libraries

Resources

Learn more about being a data consultant with dataCoLAB

• Do you love exploring diverse datasets? Want to put your skills to use, and help others achieve their goals? Gain experience consulting on real-world data problems, supporting analysis, visualization, workflow, and more.

Learn more about getting data assistance from dataCoLAB

• The dataCoLAB program can help you get more from your data and create a more robust, rigorous approach to your workflow and analysis. Get help with analysis, visualization, workflow, and more.
• A clear, detailed, and concise description of your research is a powerful tool to create opportunities and facilitate collaboration with others. Find out more about most important pieces of information dataCoLAB needs to help connect you with others.

Looking for data?

• Learn more about KiltHub, the comprehensive institutional repository and research collaboration platform for research data and scholarly outputs produced by members of Carnegie Mellon University and their collaborators.
• The CMU LibGuide Machine Learning and AI also provides information on how to find high-quality databases and datasets.
• Or, check out the CMU Libraries page on other research data repositories.

Learn more about how to manage research information

• CMU Libraries provide a wealth of information on managing research information. Learn more about data management, planning, and the tools available to help.
• The CMU LibGuide Data 101 introduces you to the wide world of data, including data types (qualitative, quantitative, ethnographic, geospatial, etc.), finding data, visualizing data, and managing data.
• CMU Libraries Data Management 101 provides information about data management, including an overview of Data Management Plans (DMPs), file naming conventions, documentation, security, backup, publication, and preservation.

Learn more about tools for research and data management at Carnegie Mellon

• Open Science Framework - A free and open source tool that can be used for managing projects and collaborations in any discipline.
• Protocols.io - A free and open access repository for recording and sharing detailed up-to-date research methods and protocols. It allows researchers to easily create, edit, share, and get credit for their protocols, and provides an open access hub for scientists to communicate improvements and corrections to scientific methods.
• KiltHub Repository - Collects, preserves, and provides stable, long-term global open access to a wide range of research data and scholarly outputs created by faculty, staff, and student members of Carnegie Mellon University in the course of their research and teaching.
• LabArchives - An electronic research notebook that can be used for securely storing, sharing, searching, and managing research data in any field or as a lab manual and notebook in lab classes.
• DMPTool - Designed to help researchers develop a data management plan that meets the requirements of a particular funding agency.

Learn more about Open Science at Carnegie Mellon

• Open Science at CMU is a CMU Libraries program supporting collaborative, transparent, openly accessible, and reproducible research across all disciplines at Carnegie Mellon University. It provides services and infrastructure for open research at CMU through digital tools, training opportunities for research tools and practices, special events and advocacy, and a team of experts available as research consultants and collaborators.

Learn more about dSHARP, a dataCoLAB partner at Carnegie Mellon

• dSHARP is a team of faculty and staff in the University Libraries and the Dietrich College of Humanities and Social Sciences dedicated to advancing research and teaching involving digital tools, methods, and sources.

Learn more about the Artificial Intelligence for Data Discovery and Reuse (AIDR) conference at Carnegie Mellon

• AIDR (Artificial Intelligence for Data Discovery and Reuse) is a conference aiming to find innovative solutions to accelerate the dissemination and reuse of scientific data in the data revolution. See last year's speakers and program on the AIDR 2019 website, and learn more about this years topics.