Service Providers:
Center for High-Throughput Computing (CHTC):
CHTC offers UW–Madison researchers computing and data services that aim to empower their research and teaching mission. CHTC is an excellent resource if you know your computational work is going to grow in scale beyond what is reasonable to manage and support in your in-house computing environment – or if you are interested in the idea of scaling up your computational work!
Division of Information Technology (DoIT) Research Cyberinfrastructure:
The Division of Information Technology (DoIT) Research Cyberinfrastructure group is a research-focused team within the Division of Information Technology. They provide services, support, and consultations for data storage and management, cloud computing, and data visualizations. They partner with operational groups within central IT to provide services with high availability and security. They collaborate with Schools and Colleges to develop connecting infrastructure between departmental and central resources for research computing.
School of Medicine and Public Health (SMPH):
SMPH Research Informatics Team is dedicated to optimizing the conduct of high-quality clinical and translational research and providing the needed computational and informational infrastructure for investigators at UW-Madison and Marshfield Clinic. They assist investigators during project conceptualization, grant submission, and deployment of secure data storage and processing methods.
Social Science Computing Cooperative (SSCC):
The Social Science Computing Cooperative (SSCC) supports researchers at UW-Madison who use statistical analysis in their work. They provide a complete research computing environment focused on statistics plus the expert help you need to use it. This includes Windows and Linux based servers and statistical consulting. The SSCC is funded by its members, and most of its services are only available to members of the Cooperative (SSCC training is an exception). Memberships are available for individuals, research groups, and larger units.
UW–Madison Libraries:
- Research Data Services (RDS) is led by the Libraries and partners with Research Cyberinfrastructure, Ebling Library, and the Map Library to provide no-cost support to the UW–Madison campus. RDS is supported by twelve data professionals with unique domain expertise from all across the campus. RDS provides expertise in data management, data sharing, and interoperability to help UW-Madison researchers make their data citable, reproducible, and publicly accessible. Services include training and workshops, templates, resources and best practices, referrals, and individual consultation across the lifecycle of research projects. Currently, RDS services are available to UW-Madison investigators at no charge.
- The Public Access Service provides researchers and administrators with time-sensitive approaches to publication compliance that compliment their work flow. Free services include the NCBI My Bibliography check-up review; custom compliance reports for NSF, DOE, DoD or other non-NIH awards; and publication submission to agency repositories (note: NSF does not allow for 3rd party submission).
Data Science Institute (DSI):
The Data Science Institute (DSI) is central to the university’s strategic priority to grow its research enterprise and expand its global impact. The DSI has a professional staff of data scientists and research software engineers that support campus researchers through its data science services. In addition, DSI has a large group of affiliated faculty and staff from across campus that advance the state of the art in data science through multidisciplinary, use-inspired research.
Data Science Hub:
The Data Science Hub in the Wisconsin Institute for Discovery collaborates closely with the Data Science Institute to provide data science training and implement data science into research practices across campus. The Data Science Hub executes a mission for community engagement and learning opportunities for campus researchers through a variety of services, including:
- Regular trainings (including Carpentries workshops) around fundamental data science and computational skills
- Consultations with Data Science Facilitators who can recommend learning pathways and project strategies, and liaise contacts with collaborators and data science experts.
- Community events and co-sponsored seminars that bring together researchers and other partners around relevant data science topics.
Teaching & Research Application Development (TRAD):
The Teaching & Research Application Development (TRAD) service partners with instructors, researchers and other members of the university community to design and implement innovative custom software solutions.