Help with statistics & GIS
Statistical Consultants work in a question-and-answer mode to help people with particular questions that come up in their research or classroom activities using statistical software, statistical methodologies, and geographic information systems. Consultants can offer advice about questions like these:
- "How should I enter to my data?"
- "What statistical program is best for my project?"
- "How do I get the program to run the analysis I want?"
- "Can you help me clean my data?"
- "How can I create a map or other visual representation from my data?"
CSSSI StatLab consultant shifts in the Cushing/Whitney Medical Library
Consultants typically visit the medical library for drop-in meetings twice a week. They sit at the back of the Medical Library's Information Desk. As of January 2017, their scheduled shifts are Tuesdays 3-7 and Thursdays 1:30-5:30.
Sorry, the scheduled StatLab shift on Tuesday 4/18 is canceled.
Because shifts are sometimes canceled even at the last minute, always check here for the current CSSSI Statistical and GIS Consultants Schedule. If the calendar entry says "sub requested," that means the consultant is unavailable and has requested a substitute -- but if a substitute isn't available, no one will be at the desk to help you.
Medical Campus affiliates are also welcome to visit or call consultants located at their primary location at the Center for Science and Social Science Information (CSSSI):
- By telephone: 203-432-3278
- In person at the Consultant's Desk at CSSSI, Kline Biology Tower, 219 Prospect Street
Miriam Olivares and Kate Nyhan are available to support geospatial tools and analysis in your research. Miriam is based in the Center for Science and Social Science Information at 219 Prospect Street. If you wish to meet with Miriam at CSSSI, you can make an appointment here. Kate is based in the Medical Library. Contact her at firstname.lastname@example.org.
For all things GIS, including software, online tutorials and information on GIS Workshops, consult the Geographic Information Systems at Yale Library Guide.
Help with data
Your contacts for assistance with data:
- High-throughput biomedical data: Rolando Garcia-Milian (email@example.com), Biomedical Sciences Research Support Librarian, Medical Library
- Health statistics and data: Kate Nyhan (firstname.lastname@example.org), Public Health Librarian, Medical Library
Information on Data Resources and Services at Yale is collected in this Guide.