Data science consultations for researchers of all levels, undergraduate to faculty, in all fields. Get help with data collection, organization, analysis, and visualization, as well as research design and reproducibility. Programming and software development support is available as well.
The Research Support team at Kellogg enables and accelerates the academic research being pursued by Kellogg faculty and PhD students. We bring expertise from a wide variety of professional disciplines to help solve problems that can arise throughout the life cycle of a research project. Services include data acquisition, computational resources, and behavioral research support.
The Galter DataLab is focused on training & development, collaborative innovation, and connecting faculty, staff, and students in the Feinberg School of Medicine to data-related resources here at Northwestern. Through our free DataClinic service, we provide consultation and training for all stages of the research data life cycle.
The mission of the BCC is to support FSM investigators in the conduct of high-quality, innovative health-related research by providing expertise in biostatistics, statistical programming, and data management. BCC faculty and staff collaborate with investigators on all aspects of research: study design and grant development; data capture and statistical analysis; interpretation of results and manuscript preparation. The BCC contributes to all types of research, including basic science, clinical, epidemiological, and health services. The BCC also supports all level of investigators – from postdoctoral fellows to junior faculty and well-established investigators. BCC support ranges from multi-year collaborations to one-time consultations.
The EDW facilitates access to electronic health records, pathology data from the hospital and research laboratories, biomarker data from research databases and research transactional data from eIRB and other institutional systems. EDW data analysts can work with you to use the EDW.
Geographic Information Systems (GIS) software, data, consultation, and support.
Social Science Data Services provides data, software and software training to support research and instruction in those social sciences that require analysis of quantitative or qualitative data.
Research Computing Services assists researchers in choosing the right computational resources for a project, using computational resources both on campus and in the cloud, accessing specialized hardware or resources, and improving computational workflows. Assistance is also available with writing computational, storage, and data components of grants and data management plans.
Biostatistics, bioinformatics, clinical informatics, and other study design and analysis support services for researchers with the Robert H. Lurie Comprehensive Cancer Center.
Study design and development, data coordination, and statistical analysis services for observational studies and clinical trials.
Consultation and support for research that involves collecting, analyzing or interpreting self-report data in culturally diverse populations.
Capture and manage research data. Conduct surveys. Manage experimental participants and data collection.
Quest is the university’s high performance computing cluster. It enables researchers to run processes requiring multiple cores or nodes, more memory than available on a personal computer, or run times of multiple days. It also includes the Quest Analytics Nodes, which are high-memory nodes that allow interactive analytics work in your web browser via RStudio, Jupyter, or SAS Studio.
The Kellogg Linux Cluster comprises five high-memory linux nodes suitable for a variety of computational research tasks. Access is limited to Kellogg researchers and other researchers with high memory computational needs.
Online survey platform. Access is available for all students, faculty, and staff at Northwestern.
The Genomics Compute Cluster is part of the Quest high performance computing cluster. It provides high-performance, high-throughput, and high-memory computational resources for genomics researchers.
Share your research with the public. Arch is an open access repository for research materials, including data sets, analysis codes, figures, posters, presentations, and other supporting information for journal and book publications.
See the Community page for information on additional opportunities for meetups, workshops, and user groups.
Two-week intensive, pre-term course designed for students who have little to no previous experience with programming. Through interactive instruction and project-based work, we plan to teach you the basics of programming in Python and computational data analysis.
Northwestern IT Research Computing Services collaborates with campus partners to offer members of the Northwestern research community opportunities to develop data and computing skills, as well as learn about the services and resources that support research activities on campus. Topics include high performance computing, command line, version control, Python, R, data visualization, data storage, databases, and more. Workshops are offered on both the Evanston and Chicago campuses.
Safari Books Online includes many popular books on programming, software development, and other technology topics. It also includes online tutorials. Students, faculty, and staff can register for an account with a Northwestern email address; access the link from the Northwestern network or VPN.
LinkedIn Learning has online courses on data science and programming topics. Access is available to all members of the Northwestern community.
