The study that produced this corpus was conducted by a joint Task Force on Career Progression charged by the Association of University Presses and Society for Scholarly Publishing in January 2022, and strengthened by the addition of the Association of Learned Professional and Scholarly Publishers in 2023. The goal of the Career Progression Task Force’s job classification project was to develop a dataset of job descriptions that identify typical skills and responsibilities associated with various roles in publishing, analysing these descriptions to elucidate the skills and qualifications needed for the jobs and career advancement and disseminate the results in a way that is useful to employers and employees alike. The work of the Task Force was made possible by the doctoral internship program at the University of Michigan's Rackham Graduate School, which supported the involvement of Michelle Lam and Lauretta Cheng. The project also involved master’s degree students at George Washington University and the University of Michigan. and In total, the corpus contained 1089 unique job description texts. A wide range/variety of positions (n=666) across functional areas were represented in the corpus. The majority of the texts came from publicly available job postings. This form of text is created to advertise positions and is typically neither as detailed nor as objective as internal position descriptions, which were contributed either individually or as a group from a particular publisher.
Cheng, L., Heaney, K., Lam, M., Lord, J., Warren, J., Watkinson, C. (2024) Supporting Career Progression in Publishing through Systematic Analysis of Job Descriptions: A Cross-Industry Initiative, Learned Publishing
