Quantitative Social Science Digital Library Pathway (QSSDL)

定量社会科学数字图书馆途径（QSSDL）

• 批准号: 0840642
• 负责人: George Alter
• 金额: $ 254.88万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-11-01 至 2013-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0840642&HistoricalAwards=false
• 关键词: Quantitative; Social; Science; Digital; Library

The Quantitative Social Science Digital Library (QSSDL) Pathway provides a portal to materials and modules that integrate quantitative analysis with the teaching of the social sciences. QSSDL is a partnership of the Interuniversity Consortium for Political and Social Research (ICPSR) and the Social Science Data Analysis Network, both at the University of Michigan, and the American Sociological Association, the American Political Science Association, and the Association of American Geographers. Quantitative analysis has long played a key role in social science research. Influential voices have been calling for ways make data analysis a staple feature in a large variety of courses in the social sciences, including introductory courses. This pathway is designed to help instructors find high quality teaching materials and datasets for student exercises and research. It is building on the rapid acceleration in the availability of data, the creation of new educational tools, and growing interest by instructors in making innovative use of digital resources for instruction. The integration of this social science pathway into the portfolio of NSDL Pathway projects adds a new resource to the existing networked infrastructure of repositories and professional associations. Experts in the Science Education Resource Center (SERC) at Carleton College are providing pedagogical, assessment, and evaluation services. In particular, SERC is conducting evaluations that include pre- and post-intervention assessments of faculty use of QSSDL resources on ten selected campuses, and QSSDL teaching materials are being linked to the "Pedagogy in Action" server at SERC. The QSSDL Pathway helps individuals who create resources by providing archiving and preservation services for those lacking adequate institutional support. This project also builds on ICPSR's long and successful model of sustainability, which is based on a diverse portfolio of memberships held by colleges and universities, research grants, and contracts.

定量社会科学数字图书馆（QSSDL）Pathway提供了一个将定量分析与社会科学教学相结合的材料和模块的门户网站。QSSDL是政治和社会研究校际联盟（ICPSR）和社会科学数据分析网络的合作伙伴关系，两者都在密歇根大学，美国社会学协会，美国政治学协会和美国地理学家协会。 长期以来，定量分析在社会科学研究中发挥着关键作用。有影响力的声音一直在呼吁如何使数据分析成为社会科学中各种课程的主要功能，包括入门课程。 该途径旨在帮助教师为学生的练习和研究找到高质量的教学材料和数据集。它建立在数据可用性的快速加速，新的教育工具的创建以及教师对创新使用数字资源进行教学的兴趣日益增长的基础上。将这一社会科学途径整合到NSDL途径项目组合中，为现有的知识库和专业协会的网络基础设施增加了新的资源。卡尔顿学院科学教育资源中心（SERC）的专家正在提供教学，评估和评估服务。 特别是，SERC正在进行评估，包括对十个选定校区的教师使用QSSDL资源的干预前和干预后评估，QSSDL教材正在与SERC的“行动中的教育学”服务器链接。QSSDL Pathway通过为缺乏足够机构支持的人提供存档和保存服务来帮助创造资源的个人。 该项目还建立在ICPSR长期成功的可持续发展模式的基础上，该模式基于学院和大学持有的各种会员资格，研究赠款和合同。