Cornell University Cornell University CISER

CISER Data Archive: Tutorial

Related links

Archive staff answer lots of questions about using and interpreting data.  Here are some handy links to information about using numeric files.  In addition, other departments on the Cornell campus  can help you find data, troubleshoot statistical software, and construct a research design.

Need help with using raw data files and interpreting documentation?

Introduction to Data Handling,  Social Science Research Computing Data Library, University of Chicago

A clear, concise introduction to data files structures, information on using a codebook and data dictionary, examples of simple extraction, and moving datafiles between platforms.
 

An Introduction to Using Data at DPLS, Data & Information Services Center, University of Wisconsin-Madison

Introduces file structures and using documentation.  This is based, in part, on How to Use Raw Data produced by Electronic Data Services, Columbia University.
 

Online Help, Data and Statistical Services, Princeton University

Although emphasis is on using the DSS computing environment, see especially the Analysis section,which includes information on how to use a codebook and composing input statements.
 

Social Sciences Data Collection Help Page, University of California, San Diego

Briefly introduces file structures, creating subsets, and how to use a codebook effectively.
 

ICPSR for New Users, Inter-university Consortium for Politcal and Social Research

A detailed introduction to the collections and services of ICPSR: how to search for data on a specific topic, file formats for data and documentation, and how to download and uncompress files from the site. An extensive list of frequently asked questions covers basic data concepts (for example, macro- versus micro-data, rectangular versus hierarchical files), how to use a codebook and work with ascii file formats, and the basics of SAS and SPSS programs.
 

Census 2000 at ICPSR, Inter-university Consortium for Politcal and Social Research

Although its focus is on Census files, much is generally applicable to using data.  See especially the Working with Data page, with links to information on data and documentation formats, interpreting ascii files, and using SAS and SPSS input statements.
 

Are you Cornell-affiliated and need help finding data?

CISER Data Archive

CISER's primary clientele is Cornell faculty, research staff, and students involved in faculty-directed research projects in the social sciences. One-on-one assistance is available by appointment. To schedule a consultation, contact the data archivist.
 

Cornell University Library

You can schedule one-on-one consultations with staff in many reference departments; for example, Olin Library, Mann Library, and Catherwood Library offer scheduled appointments.  Other libraries on campus may as well. Check their  web pages for information or see this list of e-mail addresses.  Contact Mann Library or the Olin Library Map Collection with GIS questions.
 

Are you Cornell-affiliated and need help using statistical software?

Computing Consulting, CISER

Staff maintain an extensive series of web pages with sample programs and information on CISER's computing environment.  Consulting staff conduct workshops every semester on programming fundamentals as well as advanced procedures.  Consultants staff a HelpDesk for walk-in assistance and respond to e-mail, IM, and brief phone questions. 

Cornell Statistical Consulting Unit

Although walk-in hours are available, appointments are encouraged for assistance with a variety of software packages.
 

Are you Cornell-affiliated and need help with study design or methodology?

Cornell Statistical Consulting Unit

Advises on research design, data analysis, and interpreting results.  Walk-in appointments for brief questions, consultation appointments available for those needing in-depth assistance.  Staff offer workshops every semester; and newsletter issues feature statistical software hints, uses of analytical methods, and site license updates.

 


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