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Operationalizing Data Culture: The US Army's Engagements With Data Science 1961-2023

dc.contributor.authorJantzen, Linda Carolen
dc.contributor.committeechairAbbate, Janet E.en
dc.contributor.committeememberFitzpatrick, Anne C.en
dc.contributor.committeememberVinsel, Leeen
dc.contributor.committeememberWisnioski, Matthewen
dc.contributor.departmentScience and Technology Studiesen
dc.date.accessioned2024-08-22T08:00:54Zen
dc.date.available2024-08-22T08:00:54Zen
dc.date.issued2024-08-21en
dc.description.abstractCulture frames what an institution values, reveres, and rewards. It emerges over an extended period, sometimes deliberately, often indirectly. As a subset of organizational culture, a common understanding of both data and culture is needed in order to build the data culture the Army desires. This study examines data culture within the context of the US Army and its interactions with data science over the past six decades. It uses Science and Technology Studies (STS) scholarship to analyze Army data culture from the perspectives of leadership, expertise, technology, and structure and practices to better understand how it can be shaped to better support the Army's goals. This study posits that rather than adopting a data culture as something entirely new, the Army would be better served by an understanding of the data culture it already has, made up of entrenched policy and operational approaches perpetuated over decades, some of which are unsuitable for the current and future environment. A second posit is that Army data culture is situated within a broader context and cannot be understood independently of the external cultures and social systems with which it interacts. And third, STS scholarship is uniquely suited to inform this type of analysis. I conclude that the Army should focus resources on educating leaders on how to assess, build and sustain positive data cultures in their organizations.en
dc.description.abstractgeneralCulture frames what an institution values, reveres, and rewards. It emerges over an extended period, sometimes deliberately, often indirectly. As a subset of organizational culture, a common understanding of both data and culture is needed in order to build the data culture the Army desires. This study examines data culture within the context of the US Army and its interactions with data science over the past six decades. It uses Science and Technology Studies (STS) scholarship to analyze Army data culture from the perspectives of leadership, expertise, technology, and structure and practices to better understand how it can be shaped to better support the Army's goals. This study posits that rather than adopting a data culture as something entirely new, the Army would be better served by an understanding of the data culture it already has, made up of entrenched policy and operational approaches perpetuated over decades, some of which are unsuitable for the current and future environment. A second posit is that Army data culture is situated within a broader context and cannot be understood independently of the external cultures and social systems with which it interacts. And third, STS scholarship is uniquely suited to inform this type of analysis. I conclude that the Army should focus resources on educating leaders on how to assess, build and sustain positive data cultures in their organizations.en
dc.description.degreeDoctor of Philosophyen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:41263en
dc.identifier.urihttps://hdl.handle.net/10919/120986en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectArmyen
dc.subjectdata cultureen
dc.subjectdata scienceen
dc.subjectdata literacyen
dc.subjectdata pathologiesen
dc.subjectSTSen
dc.titleOperationalizing Data Culture: The US Army's Engagements With Data Science 1961-2023en
dc.typeDissertationen
thesis.degree.disciplineScience and Technology Studiesen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.nameDoctor of Philosophyen

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