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Maturity in enterprise data warehouses for research operations: Analysis of a pilot study
Journal article   Open access   Peer reviewed

Maturity in enterprise data warehouses for research operations: Analysis of a pilot study

Boyd M. Knosp, David A. Dorr and Thomas R. Campion
Journal of clinical and translational science, Vol.7(1), p.e70
02/20/2023
DOI: 10.1017/cts.2023.23
PMCID: PMC10052397
PMID: 37008621
Appears in  UI Libraries Support Open Access
url
https://doi.org/10.1017/cts.2023.23View
Published (Version of record) Open Access

Abstract

Enterprise data warehouses for research (EDW4R) is a critical component of National Institutes of Health Clinical and Translational Science Award (CTSA) hubs. EDW4R operations have unique needs that require specialized skills and collaborations across multiple domains which limit the ability to apply existing models of information technology (IT) performance. Because of this uniqueness, we developed a new EDW4R maturity model based on prior qualitative study of operational practices for supporting EDW4Rs at CTSA hubs. In a pilot study, respondents from fifteen CTSA hubs completed the novel EDW4R maturity index survey by rating 33 maturity statements across 6 categories using a 5-point Likert scale. Of the six categories, respondents rated workforce as most mature (4.17 [3.67-4.42]) and relationship with enterprise IT as the least mature (3.00 [2.80-3.80]). Our pilot of a novel maturity index shows a baseline quantitative measure of EDW4R functions across fifteen CTSA hubs. The maturity index may be useful to faculty and staff currently leading an EDW4R by creating opportunities to explore the index in local context and comparison to other institutions.
 Life Sciences & Biomedicine Medicine, Research & Experimental Research & Experimental Medicine Science & Technology UIOWA OA Agreement

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