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What is it that you say you do here? Advocating for the critical role of data scientists in research infrastructure.
Griego, Chasz; Agate, Nicky; Iosif, Ana-Maria; Crisp, Amy M.
Afiliación
  • Griego C; University Libraries, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Agate N; University Libraries, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Iosif AM; Department of Public Health Sciences, University of California Davis, Davis, CA, USA.
  • Crisp AM; Center for Data Solutions, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Stat (Int Stat Inst) ; 13(3)2024 Sep.
Article en En | MEDLINE | ID: mdl-39184224
ABSTRACT
Clinical and academic research continues to become more complex as our knowledge and technology advance. A substantial and growing number of specialists in biostatistics, data science, and library sciences are needed to support these research systems and promote high-caliber research. However, that support is often marginalized as optional rather than a fundamental component of research infrastructure. By building research infrastructure, an institution harnesses access to tools and support/service centers that host skilled experts who approach research with best practices in mind and domain-specific knowledge at hand. We outline the potential roles of data scientists and statisticians in research infrastructure and recommend guidelines for advocating for the institutional resources needed to support these roles in a sustainable and efficient manner for the long-term success of the institution. We provide these guidelines in terms of resource efficiency, monetary efficiency, and long-term sustainability. We hope this work contributes to-and provides shared language for-a conversation on a broader framework beyond metrics that can be used to advocate for needed resources.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Stat (Int Stat Inst) Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Stat (Int Stat Inst) Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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