Faculty data for information schools, public policy schools and neuroscience departments in U.S.
Description
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.