Are you a researcher aspiring to learn more about data science and how it can be used in clinical research? Browse our recommended list of internal and external programs to expand your knowledge and technical skills.
Join the growing number of researchers utilizing data science in their research!
Southwest Center for Advancing Clinical and Translational Innovation (SW CACTI) SW CACTI provides a variety of informatics-related trainings, including workshops and online courses related to data management, FAIR principles, clinical databases, and data tools. https://hsc.unm.edu/ctsc/training/training-catalog.html
UNM Health Sciences Library and Informatics Center (HSLIC) HSLIC provides informatics-related trainings and workshops on various topics, including data management plans, data organization, AI applications in the health sciences, and programming software. https://hsc.unm.edu/hslic/
New Mexico AI Consortium The New Mexico AI Consortium (NMAIC) is a collaboration between New Mexico universities, colleges, and national laboratories. NMAIC offers educational programs, training, mentorship and networking. https://nmaiconsortium.org/
Trustworthy AI Grand Challenge This cross-campus collaborative initiative aims to develop a research program that creates mathematically and practically trustworthy AI and to establish processes and procedures that practitioners in the field can use to assess, evaluate, and iteratively improve trustworthiness of AI systems. https://grandchallenges.unm.edu/teams/2025/ai.html
CS50: Introduction to Computer Science Harvard University provides online access to this free self-paced course on computer science and programming. Harvard also offers follow-up courses in R and Python. https://pll.harvard.edu/course/cs50-introduction-computer-science
HSC Data Security and Compliance
UNM Health Sciences Center (HSC) is committed to maintaining the highest standards of data security to protect sensitive research information. The HSC Information Security Office provides oversight and guidance to support multiple levels of data protection, including HIPAA compliance and advanced standards such as NIST 800-171 for controlled unclassified information. Data security procedures vary depending on the type of data involved and are guided by institutional policies.
Researchers can also access training and guidance on data compliance through the Office of Research’s Research Data and Informatics unit, which offers support for secure data handling, storage, and sharing practices.
