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STAR classification

Persistent URL


Clara del Junco (Wesleyan University)

Stefan de Jong (Tilburg University & Stellenbosch University)


Staff Titles and Roles (STAR) Classification


del Junco, C. &  de Jong S. Staff Titles and Roles (STAR) Classification. Ann Arbor, MI: IRIS [publisher & distributor], 2022-09-20, doi: 10.21987/j69s-2t47


Institute for Research on Innovation and Science (IRIS)

Publication Year


Type of Publication

Working paper, Technical paper

Resource Type


File Type


File Size

361 KB

Page Numbers

14 pages


Higher Education, Research Staff, Professions, IRIS UMETRICS, Job Classification

Corresponding Code

The code is publicly available: 10.25438/wes02.20769406

File Description

This technical paper documents the Staff Title and Roles (STAR) classification method, which is a semi-automated method to classify job titles in the IRIS UMETRICS data that are labeled with occupational class “Staff” – i.e., those who are not on the academic track (undergraduate and graduate students, postdocs, and faculty) – into a more detailed set of occupational roles. The method was developed and implemented by authors Clara del Junco and Stefan de Jong. The method was developed on the NIH-funded positions in the UMETRICS data, and this documentation shows the ability of the code to classify other samples of titles in the UMETRICS data.

This is one of the end products of the project funded by the IRIS Researcher Award (2020-2021). The award recipient is Dr James Evans, Director of Knowledge Lab, Professor of Sociology, Faculty Director of the Computational Social Science program, and member of the Committee on Conceptual and Historical Studies of Science at the University of Chicago. As of this writing (Sept. 2022), Clara del Junco is STEM & Data Education Librarian at Wesleyan University. Stefan de Jong is Assistant Professor, Department of Organization Studies, Tilburg School of Behavioral Sciences, Tilburg University. Stefan is also a Research Fellow at the Centre for Research on Evaluation, Science and Technology and the DST-NRF Centre of Excellence in Scientometrics and Science, Technology and Innovation Policy, Stellenbosch University.

This paper is also distributed to the IRIS and wider research community as part of the 2022 Fall Supplementary Data Release.


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