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dc.contributor.authorMaimone, Christina
dc.contributor.authorYockel, Scott
dc.contributor.authorMiddelkoop, Timothy
dc.contributor.authorStauffer, Ashley
dc.contributor.authorReidy, Chris
dc.date.accessioned2022-11-04T20:12:50Z
dc.date.available2022-11-04T20:12:50Z
dc.date.issued2022-07-08
dc.identifier.citationMaimone, C., Yockel, S., Middelkoop, T., Stauffer, A., & Reidy, C. (2022). Characterizing the US Research Computing and Data (RCD) Workforce. PEARC 2022 Conference Series - Practice and Experience in Advanced Research Computing 2022 - Revolutionary: Computing, Connections, You.en_US
dc.identifier.doi10.1145/3491418.3530289
dc.identifier.urihttp://hdl.handle.net/10150/666697
dc.description.abstractA growing share of computationally and data-intensive research, both inside and outside of academia, requires the involvement and support of computing and data professionals. Yet little is known about the composition of the research computing and data (RCD) workforce. This paper presents the results of a survey (N=563) of RCD professionals' demographic and educational backgrounds, work experience, current positions, job responsibilities, and views of working in the RCD field. We estimate the size of the RCD workforce and discuss how the demographic diversity and distribution of backgrounds of those in the RCD workforce fail to match that of the larger academic and technical workforces. These survey results additionally support the insights of those working in the field concerning the need to recruit a wider variety of professionals into the RCD profession, better define job descriptions and career pathways, and improve institutional recognition for the value of RCD work.en_US
dc.description.sponsorshipNational Science Foundationen_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.rights© 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.sourcePractice and Experience in Advanced Research Computing
dc.subjectCyberinfrastructureen_US
dc.subjectPopulation Surveyen_US
dc.subjectProfessionalizationen_US
dc.subjectRCDen_US
dc.subjectResearch Computingen_US
dc.subjectWorkforce Developmenten_US
dc.titleCharacterizing the US Research Computing and Data (RCD) Workforceen_US
dc.typeArticleen_US
dc.contributor.departmentUniversity of Arizonaen_US
dc.identifier.journalPEARC 2022 Conference Series - Practice and Experience in Advanced Research Computing 2022 - Revolutionary: Computing, Connections, Youen_US
dc.description.noteImmediate accessen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal accepted manuscripten_US
dc.identifier.pii10.1145/3491418.3530289
dc.identifier.pii10.1145/3491418
refterms.dateFOA2022-11-04T20:12:50Z


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