Empowering translational health data science capabilities in population health management: a case of building a data competence center

Abstract

In this paper we present the outcomes of a survey conducted among the research community of a Population Health Management department. The goal is to investigate how (translational) data science applications can be supported in a complex ecosystem of data sources and regulations of secondary healthcare data use. The envisioned solution is the creation of a data competence center as a multidisciplinary unit mixing research and professional support staff to provide data science technology, training, and resources to (early-career) researchers to address current challenges that are considerably impacting data quality and reproducibility in PHM research.