Did you know ProQuest Dissertations & Theses Global database is also used as a data resource for research projects that use text and data mining? With 4.5 million records, each with its own metadata, the database corpus is a rich resource for researchers. See the list below for articles and projects published by scholars who used ProQuest Dissertations & Theses Global data:

Perception, prestige and PageRank, published in PLOSONE, May 2019. Authors: David Zeitlyn, Daniel W. Hook. Abstract. The authors employ a network theoretical social model as a tool to explore and understand the dynamics of prestige in the academic hierarchy.

Google Scholar's coverage of the engineering literature 10 years later, published in PennState ScholarSphere, March 2018. Authors: John Meier Angela Raw Davis Vanessa Lyn Eyer. Abstract. The authors used data from full-text engineering dissertations published in 2016 to and related citations to determine the change in engineering literature referenced in Google Scholar over the last 10 years.

Neuroscience bridging scientific disciplines in health: Who build the bridge, who pays for it?, published in Scientometrics, November 2018. Authors: Ran Xu, Navid Ghaffarzadegan. Abstract. By examining the topics of more than 500,000 doctoral dissertations from U.S. institutions in six major disciplines in 1996-2014, the study investigated the dynamics of cross-disciplinary research in health-related fields as affected by individual and institutional factors.

Computing research in the academy: insights from theses and dissertations, published in Scientometrics, January 2018. Authors: Derek Hansen, Sung Kim, Richard Helps. Abstract. The authors analyzed computing-related keywords in approximately 30,000 dissertations and theses to see how connections between different computing disciplines changed over time.

"Are you gonna publish that?" Peer-reviewed publication outcomes of doctoral dissertations in psychology, published in PLOSONE, February 14, 2018. Authors: Spencer C. Evans , Christina M. Amaro, Robyn Herbert, Jennifer B. Blossom, Michael C. Roberts. Abstract. The authors investigated the peer-reviewed publication outcomes of psychology dissertations in the US. Dissertations include original research; does that research end up in the scientific literature?

STEM Training and Early Career Outcomes of Female and Male Graduate Students: Evidence from UMETRICS Data Linked to the 2010 Census, published in The American Economic Review, May, 2016. Authors: Catherine Buffington, et al. Abstract. The authors used PQDT Global data to verify dissertation publication and graduation against UMETRICS data. The data was then used to analyze how STEM degrees correspond to career outcomes.

Wrapping it up in a person: Examining employment and earnings outcomes for Ph.D. recipients, published in Science, December 11, 2015. Authors: Nikolas Zolas, Nathan Goldschlag, Ron Jarmin, Paula Stephan, Jason Owen-Smith, Rebecca F. Rosen, Barbara McFadden Allen, Bruce A. Weinberg, Julia I. Lane. Abstract. The authors used data from PQDT Global, business registries, and the U.S. Census Bureau to link Ph.D. recipients to subsequent employers and analyze earnings, placement, funding and location.

New linked data on research investments: Scientific workforce, productivity, and public value, published in Research Policy, November, 2015. Authors: Lane, Julia, et al. Abstract. The authors explore the UMETRICS data initiative and related data sets, including PQDT Global, and its relationship scholarly science writing and citations.

The Effect of S-Adenosylmethionine on Cognitive Performance in Mice: An Animal Model Meta-Analysis, published in PLoSOne, October, 2014. Authors: Montgomery, Sarah E; Sepehry, Amir A; Wangsgaard, John D; Koenig, Jeremy E. Abstract. The authors used PQDT Global data, along with data from MEDLINE and other databases as part of a comprehensive literature review.

Which universities lead and lag? Toward university rankings based on scholarly output, published through Stanford University. Authors: Ramage, Daniel; Manning, Christopher D.; McFarland, Daniel A. Abstract. The authors use analysis of PQDT Global abstracts from authors at research-intensive institutions to assess if those institutions are “forward-leaning” or “past-leaning” in their relationship to academia.

ETDs and Social Networks, presentation at ETD 2014 Conference. Author: David Zeitlyn. Download.

ProQuest case studies: we’ve also profiled several universities using PQDT Global data in research projects:

MPACT Family Trees: Quantifying Academic Genealogy in Library and Information Science, published in Journal of Education for Library and Information Science, Fall 2019. Authors: Terrell G Russell, Cassidy R. Sugimoto. Abstract. The article presents a novel data-driven technique for calculating genealogical scores for individuals and academic families for greater contextualization and insight into academic legacy.