Faculty data for information schools, public policy schools and neuroscience departments in U.S.
收藏Mendeley Data2019-12-05 更新2026-04-09 收录
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This dataset includes names, doctorate-granting institution, and doctoral programs for faculty members from three types of multidisciplinary institutions in the U.S. - 26 information schools (a.k.a., iSchools, collected in 2014) - 64 public policy schools (collected in 2016) - 26 neuroscience departments (collected in 2016) Please refer to the README.txt file for details. When using the information school dataset, please cite the following papers: - Zuo, Z., Zhao, K., & Eichmann, D. (2017). The State and Evolution of U.S. iSchools – from Talent Acquisitions to Research Outcome. Journal of the Association for Information Science and Technology, 68(5), 1266–1277. https://doi.org/10.1002/asi.23751 - Zuo, Z., Zhao, K. & Ni, C. (2019). Standing on the Shoulders of Giants?--Faculty Hiring in Information Schools. Journal of Informetrics, 13(1), 341-353. DOI: https://doi.org/10.1016/j.joi.2019.01.007. When using the other two datasets, please cite: - Zuo, Z., Zhao, K. (2018). The More Multidisciplinary the Better?--The Prevalence and Interdisciplinarity of Research Collaborations in Multidisciplinary Institutions. Journal of Informetrics, 12(3), 736-756. DOI: 10.1016/j.joi.2018.06.006. - Zuo, Z., Qian, H. & Zhao, K. (2019). Understanding the Field of Public Affairs through the Lens of Ranked Ph.D. Programs in the United States. Policy Studies Journal, 47(S1), S159-S180. DOI: 10.1111/psj.12322.
本数据集收录了美国三类多学科机构教职员工的姓名、授予其博士学位的院校,以及其攻读的博士项目。三类机构具体如下:
- 26所信息学院(亦称iSchools,数据采集于2014年)
- 64所公共政策学院(数据采集于2016年)
- 26个神经科学系(数据采集于2016年)
详细信息请参阅README.txt文件。
使用信息学院数据集时,请引用以下论文:
1. Zuo, Z., Zhao, K., & Eichmann, D. (2017). 美国信息学院的现状与演进——从人才招聘到研究产出. 《信息科学与技术协会会刊》, 68(5), 1266–1277. https://doi.org/10.1002/asi.23751
2. Zuo, Z., Zhao, K. & Ni, C. (2019). 站在巨人的肩膀上?——信息学院的教职员工招聘. 《信息计量学期刊》, 13(1), 341-353. DOI: https://doi.org/10.1016/j.joi.2019.01.007.
使用另外两类数据集时,请引用以下论文:
1. Zuo, Z., Zhao, K. (2018). 越跨学科越好?——多学科机构中研究合作的普遍性与跨学科性. 《信息计量学期刊》, 12(3), 736-756. DOI: 10.1016/j.joi.2018.06.006.
2. Zuo, Z., Qian, H. & Zhao, K. (2019). 从美国顶尖博士项目视角审视公共事务领域. 《政策研究期刊》, 47(S1), S159-S180. DOI: 10.1111/psj.12322.
创建时间:
2019-12-05



