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

Boyd M. Knosp, David A. Dorr, Thomas R. Campion

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish (US)
Article numbere70
JournalJournal of Clinical and Translational Science
Issue number1
StatePublished - Feb 20 2023


  • CTSA
  • Maturity models
  • biomedical informatics
  • enterprise data warehouses for research
  • infrastructure
  • translational research

ASJC Scopus subject areas

  • General Medicine


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