CUL - Main Content

Data Preparation

• 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 (Stata, R, SPSS, ArcGIS, QGIS, et al.);
• provide assistance in understanding and solving coding errors.

Instruction

• support learning statistical software (Stata, R, SPSS, et al.) and GIS software (ArcGIS, QGIS) by having manuals available and using computer-based training aids;
• give introductions to finding and using data either in the library or in class;
• prepare online user documentation and training aids.

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. Examples of this include:
  • Frances Pritchett Colonial Maps of South Asia Collection
  • Europe Historical Precipitation, 1500-2000    

• Research consultations are for current Columbia University affiliates and for original research purposes only. Users must have a valid UNI for service.
• We cannot help with homework assignments, provide tutoring, or aid in any non-original academic work. For this type of help, please contact your teaching assistant or professor or the ISERP Statistical Consulting services.
• We also 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.