Research Data Services Consultation Guidelines
Open Lab Consultation Policy
- Research consultations are for current Columbia University affiliates and for research purposes only. Users must have a valid UNI for service and sign in to the log-in kiosk before meeting with a consultant.
- Walk-in consultations during Open Labs are expected to last no more than 15 minutes. If more time is needed, a one-hour one-on-one consultation can be arranged with the consultant. One consultation per week is the expected norm.
- We cannot help with homework assignments or provide tutoring. For this type of help, please contact the ISERP Statistical Consulting services.
- We cannot provide assistance with projects that are commercial in nature, involve classified information or non-disclosure agreements, or are related to or likely to be involved in litigation, etc.
Collaborating with RDS
RDS staff collaborate with scholars and researchers on projects which are of mutual interest and of significance. We are happy to set up a consultation to investigate the possibility of collaborating.
Examples of collaborations include:
- Partnering to lead, teach, or co-teach a workshop or a series of workshops that involve RDS's areas of expertise.
- Collaborating in the publication of datasets for inclusion in the geospatial or numeric data catalogs.
Consultants can provide help with
- work with the documentation and codebooks to explain how the data is organized;
- copy files from one computer system or storage medium to another;
- extract subsets from large files;
- merge data;
- convert data among the standard formats used when working with data.
Working with data
- give pointers to appropriate techniques using examples, and a library of sample programs;
- explain program language syntax;
- advise on data manipulation techniques related to supported software & tools;
- provide assistance in understanding and solving coding errors.
- support learning statistical software (Stata, R, SPSS, et al.) and GIS software (ArcGIS, QGIS) by having manuals available and using computer-based training aids (also see Software & Tools for suggested training resources and level of support);
- give introductions to finding and using data either in the library or in class;
- prepare online user documentation and training aids.