A Web-Based System for Analysis and Distribution of Questionnaire Survey Data

该项目旨在使通过万维网提供问卷调查及其数据的系统的技术功能达到新的水平。 综合社会调查数据和信息检索系统 (GSSDIRS) 是最先进的基于 Web 的系统，用于记录、分析和分发芝加哥大学国家民意研究中心的综合社会调查 (GSS)。除美国人口普查外，GSS 是社会科学中使用最广泛的数据来源。 1972 年至 1996 年间进行的 21 项调查包含 2999 个变量（1008 个有趋势）和 35,284 名受访者。 当前项目的一个目标是添加 1996 年和 1998 年收集的数据。这项工作还将扩展和改进 1996 年创建的原型 GSSDIRS。将对系统的几乎所有部分进行改进，包括添加：1) 变量购物清单，2) 超级变量，3) 自动定制密码本，4) 改进的搜索引擎，5) 增强的在线分析，6) 更多文档，以及 7) 与相关网站。 GSSDIRS 也将重新格式化以利用最新的浏览器选项。 GSSDIRS 是构建问卷调查数据数字图书馆的主要原型系统。 它展示了管理极其复杂的调查数据、索引和提供不同格式的调查问卷文本以及基于特定项目的出版物摘要的可行性。 它将多个数据提供网站与世界各地数以千计的用户联系起来，是社会科学领域知识网络的典型例子。 鉴于调查在科学、教育、商业和政府领域的广泛使用，为 GSSDIRS 开发的技术将在未来几年得到广泛应用。

This is a project to achieve a new level of technical functionality in systems for providing questionnaire surveys and their data over the World Wide Web. The General Social Survey Data and Information Retrieval System (GSSDIRS) is a state-of-the-art, Web-based system for the documentation, analysis, and distribution of the General Social Survey (GSS) of the National Opinion Research Center, University of Chicago. With the exception of the US Census, the GSS is the most widely used source of data in the social sciences. The 21 surveys conducted between 1972 and 1996 contain 2999 variables (1008 with trends) and 35,284 respondents. One goal of the present project is to add the data collected in 1996 and 1998. This work will also expand and improve the prototype GSSDIRS that was created in 1996. Improvements will be made to virtually all parts of the system and will include adding: 1) a variable shopping list, 2) super variables, 3) automatic customized codebooks, 4) an improved search engine, 5) enhanced on-line analysis, 6) more documentation, and 7) integration with related sites. GSSDIRS will also be reformatted to take advantages of the latest browser options. GSSDIRS is the primary prototype system for building digital libraries of questionnaire survey data. It demonstrates the feasibility of managing the great complexity of survey data, indexing and delivering questionnaire texts in varied formats and abstracts of publications based on particular items. Linking more than one data-providing site to thousands of users around the world, it is the prime example of knowledge networking in the social sciences. Given the wide use of surveys in science, education, business and government, the technology developed for GSSDIRS will be employed extensively in future years.