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Social Science Data
Literary Studies Database
New Lane Library Web Site
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Mac OS X Migration
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Sundial Calendar Changes
TeamSpace in Meyer Library
Meyer Tech Desk Update
Technology Help on Web
Need help getting social science data or selecting and using the right quantitative or qualitative software analysis package? Social Science Data and Software (SSDS), a group within Stanford University Libraries and Academic Information Resources (SULAIR), offers a variety of resources and services to faculty, staff and students for getting data in electronic format and using it. SSDS services are available via the web, email, by appointment, during scheduled walk-in hours and via group workshops. Information about their resources and links to specific services are on the web at:
You can contact SSDS directly for questions or to make an appointment:
Data services: consult- firstname.lastname@example.org
Software services: consult- email@example.com
Social Science Data and Software offers the following key resources and services:
Consulting and Workshops
In-person consultations take place in The Velma Denning Room, located in the Social Sciences Resource Center, on the first floor of the Green Library Bing Wing. Check the SSDS Web site for the current quarter schedule or contact them directly for an appointment. Group workshops are held throughout the year and provide a focused environment for learning about SSDS resources and services.
Workshops cover several areas, including: obtaining numeric data, using statistical and qualitative software to analyze large datasets and present data in graphical format, organizing and analyzing interviews, field notes, photographs and other types of text-based data. Workshop topics include:
• Introduction to SSDS Data and Software Resources and Services
• Finding Social Science Data: Key SSDS Virtual and Local Resources
• Pre-field Survey Design and Tips for Data Entry
• Choosing a Statistical Software Package: SAS, SPSS and Stata
• Qualitative Software: Introduction to NVivo or ATLAS.ti
It's easy to request a workshop, just complete the online form on the SSDS web site.
Data specialists can help you navigate the many virtual and local data resources available at Stanford. Key virtual data sources include:
• The Data Extraction Web Interface (DEWI) is a web-based data and extraction system for accessing over 100 social science numeric datasets. DEWI incorporates codebook information, allowing users to search datasets by keywords and select variables for sub-setting and extraction. In addition, users can browse through all variables in a specific dataset.
Extract files can be saved in a variety of statistical software formats such as SAS, SPSS, or Stata, and downloaded directly to a personal computer for further analysis. Links to codebooks and other online resources are provided for each dataset. The DEWI system is at:
For more information about DEWI, contact Ron Nakao, firstname.lastname@example.org, 725-1062.
• Stanford's ICPSR membership allows direct access to a vast archive of social science data from all disciplines and related fields in the social sciences including sociology, political science, history, economics and education.
Current ICPSR holdings include over 5,000 titles and over 100,000 unique files. Stanford users can order ICPSR datasets directly from the ICPSR Web site on any computer in the Stanford University network, or from off campus via Stanford's proxy server.
• The Roper Center Web site includes the popular iPoll, a searchable database of polling questions and responses. The iPoll database of questions links directly to the Roper data archive, providing a powerful search option for locating datasets.
Other databases at the Roper Center include: the Latin American Databank (LAD), with approximately one thousand studies from 16 countries, including Argentina, Chile, Mexico, Peru and Venezuela; the Japanese Data Archive (JPOLL), an online database of Japanese public opinion questions and responses; and a Japanese data library of thousands of survey research studies. Stanford faculty, staff and students can order Roper datasets from the SSDS Web site.
• SSDS' local resources include an extensive collection of numeric data on CD-ROM and diskette from U. S. federal agencies, international organizations and foreign governments that cover a range of topics and time periods.
A variety of popular CD-ROM programs are available on computers in The Velma Denning Room. In addition, users can access a collection of historic and archived data from the SSDS web site. A reference library of dataset codebooks, CD-ROM and diskette program user manuals, and selected journals and magazines is located in The Velma Denning Room.
Software consultants provide support in the users of the most popular statistical software (SPSS, SAS, and Stata) and qualitative software (NVivo and ATLAS.ti). Consultants provide assistance and information for researchers who are at various stages in their project. Some of the most common topics include: choosing the right software for your research project, getting started with a particular software package, resources for learning and teaching statistical and qualitative analysis software, survey design and tips for data entry, solutions to common software problems, data management, and data reshaping and conversion.
Users visiting The Velma Denning Room can evaluate any of the available quantitative and qualitative software packages, including specialized software packages for advanced methods such as structural equation modeling (AMOS), social network analysis (UCINET), multi-level modeling (HLM) and spatial statistics (ArcGIS and SpaceStat). DBMS/COPY and Stat Transfer are available for converting and formatting between statistical software packages. Printed help documents for learning many of our supported quantitative, qualitative and data conversion software packages are available in The Velma Denning Room. SSDS help documents are also available from their web site. A reference library of software manuals, textbooks on statistics, and other helpful books is located in The Velma Denning Room. Users can browse this collection by call number, subject or title via the SSDS web site.