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Making strides in doctoral-level career outcomes reporting

A review of classification and visualization methodologies in graduate education

Bibliographic Data

ID22164151
AuthorsTammy R L Collins, Tammy Collins (0000-0002-8023-256X, Burroughs Wellcome Fund, corresponding author), Rebekah L Layton (0000-0001-7113-1348, University of North Carolina at Chapel Hill, corresponding author), Deepti Ramadoss (0000-0001-9631-9320, University of Pittsburgh, corresponding author), Jennifer Macdonald (0000-0001-6521-6898, New School), Ryan J Wheeler (0000-0001-5479-1301, Scripps Research Institute), Ryan Wheeler, Adriana Bankston (0000-0001-5406-856X, Institute for the Future), C Abby Stayart, Constance Stayart (University of Chicago), Yi Hao (0000-0001-6744-0105, University of Maryland, College Park), Jacqueline N Robinson-Hamm (0000-0002-9568-2133, Federation of American Societies for Experimental Biology), Melanie Sinche (0000-0001-5238-9642, University of Virginia), Scott Burghart, Scott E Burghart (The University of Texas at Austin), Aleshia Carlsen-Bryan (Massachusetts Institute of Technology), Pallavi Eswara (Boston University), Heather Krasna (0000-0002-4820-9773, Maastricht University), Hong Xu (0000-0003-0314-9145, National Institute of Environmental Health Sciences), Mackenzie Sullivan, Mackenzie W Sullivan (0000-0003-0254-1137, University of Minnesota)
Year2025
Volume10
Publication date2025-05-23
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Education (JOURNAL)
Journal identifiersISSN: 2504-284X • E-ISSN: 2504-284X
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/feduc.2025.1462887
PMID41341269
OpenAlexW4410643918
LanguageEN
References cited40

The recent movement underscoring the importance of career taxonomies has helped usher in a new era of transparency in PhD career outcomes. The convergence of discipline-specific organizational movements, interdisciplinary collaborations, and federal initiatives has helped to increase PhD career outcomes tracking and reporting. Transparent and publicly available PhD career outcomes are being used by institutions to attract top applicants, as prospective graduate students are factoring in these outcomes when deciding on the program and institution in which to enroll for their PhD studies. Given the increasing trend to track PhD career outcomes, the number of institutional efforts and supporting offices for these studies have increased, as has the variety of methods being used to classify and report/visualize outcomes. This report comprehensively synthesizes existing PhD career taxonomy tools, resources, and visualization options to help catalyze and empower institutions to develop and publish their own PhD career outcomes. Similar fields between taxonomies were mapped to create a new crosswalk tool, thereby serving as an empirical review of the career outcome tracking systems available. Moreover, this work spotlights organizations, consortia, and funding agencies that are steering policy changes toward greater transparency in PhD career outcomes reporting. Such transparency not only attracts top talent to universities, but also propels research progress and technological innovation forward. Therefore, university administrators must be well-versed in government policies that may impact their PhD students. Engaging with government relations offices and establishing dialogues with policymakers are crucial steps toward staying informed about relevant legislation and advocating for more resources. For instance, much of the recent science legislation in the U.S. Congress, including the Creating Helpful Incentives to Produce Semiconductors (CHIPS) and Science Act, significantly impacts federal agency programs influencing universities. To ensure sustained development, it is imperative to support initiatives that enhance transparency, both in terms of legislation and resources. Increased funding for programs supporting transparency will aid legislatures and institutions in staying informed and responsive. Many efforts presented in this publication have received support from federal and state governments or philantrophic sources, underscoring the need for multifaceted support to initiate and perpetuate this level of systemic change

Data science · Engineering ethics · Engineering management · Graduate education · Graduate students · Knowledge management · Medical education · Visualization · Computer Science · Doctoral Education Challenges and Solutions · Engineering · Health and Medical Research Impacts · Medicine · Psychology · scientometrics and bibliometrics research · Artificial Intelligence

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