Griego Chasz, Agate Nicky, Iosif Ana-Maria, Crisp Amy M
University Libraries, Carnegie Mellon University, Pittsburgh, PA, USA.
Department of Public Health Sciences, University of California Davis, Davis, CA, USA.
Stat (Int Stat Inst). 2024 Sep;13(3). doi: 10.1002/sta4.714. Epub 2024 Jul 10.
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.
随着我们知识和技术的进步，临床和学术研究变得越来越复杂。需要大量且不断增加的生物统计学、数据科学和图书馆学专家来支持这些研究系统并推动高质量研究。然而，这种支持往往被边缘化，被视为可有可无，而非研究基础设施的基本组成部分。通过构建研究基础设施，机构可以利用工具以及支持/服务中心，这些中心拥有熟练的专家，他们在进行研究时会牢记最佳实践并掌握特定领域的知识。我们概述了数据科学家和统计学家在研究基础设施中的潜在作用，并推荐了一些指导方针，以便以可持续和高效的方式倡导所需的机构资源，从而实现机构的长期成功。我们从资源效率、资金效率和长期可持续性方面提供这些指导方针。我们希望这项工作有助于就一个更广泛的框架进行讨论并提供共同语言，该框架超越了可用于倡导所需资源的指标。
