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Published, Version of Record (VoR)CC BY V4.0, Open
Journal article
Analyzing academic mobility of US professors based on ORCID data and the Carnegie Classification
Quantitative science studies, v 1(4), pp 1451-1467
01 Sep 2020
Abstract
This paper uses two open science data sources-ORCID and the Carnegie Classification of Institutions of Higher Education (CCIHE)-to identify tenure-track and tenured professors in the United States who have changed academic affiliations. Through a series of data cleaning and processing actions, 5,938 professors met the selection criteria of professorship and mobility. Using ORCID professor profiles and the Carnegie Classification, this paper reveals patterns of academic mobility in the United States from the aspects of institution types, locations, regions, funding mechanisms of institutions, and professors' genders. We find that professors tended to move to institutions with higher research intensity, such as those with an R1 or R2 designation in the Carnegie Classification. They also tend to move from rural institutions to urban institutions. Additionally, this paper finds that female professors are more likely to move within the same geographic region than male professors and that when they move from a less research-intensive institution to a more research-intensive one, female professors are less likely to retain their rank or attain promotion.
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Details
- Title
- Analyzing academic mobility of US professors based on ORCID data and the Carnegie Classification
- Creators
- Erija Yan - Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USAYongjun Zhu - Sungkyunkwan UniversityJiangen He - University of Tennessee at Knoxville
- Publication Details
- Quantitative science studies, v 1(4), pp 1451-1467
- Publisher
- Mit Press
- Number of pages
- 17
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Web of Science ID
- WOS:000691840700005
- Scopus ID
- 2-s2.0-85108668605
- Other Identifier
- 991019182760304721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Information Science & Library Science