Maturity in enterprise data warehouses for research operations: Analysis of a pilot study
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 appl...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2023-01-01
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| Series: | Journal of Clinical and Translational Science |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2059866123000237/type/journal_article |
| _version_ | 1811156471100997632 |
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| author | Boyd M. Knosp David A. Dorr Thomas R. Campion |
| author_facet | Boyd M. Knosp David A. Dorr Thomas R. Campion |
| author_sort | Boyd M. Knosp |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T04:52:11Z |
| format | Article |
| id | doaj.art-0137a81611894fe8a3ddc4dc0e8a5804 |
| institution | Directory Open Access Journal |
| issn | 2059-8661 |
| language | English |
| last_indexed | 2024-04-10T04:52:11Z |
| publishDate | 2023-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Journal of Clinical and Translational Science |
| spelling | doaj.art-0137a81611894fe8a3ddc4dc0e8a58042023-03-09T12:31:13ZengCambridge University PressJournal of Clinical and Translational Science2059-86612023-01-01710.1017/cts.2023.23Maturity in enterprise data warehouses for research operations: Analysis of a pilot studyBoyd M. Knosp0https://orcid.org/0000-0002-3834-3135David A. Dorr1Thomas R. Campion2Roy J. and Lucille A. Carver College of Medicine and the Institute for Clinical & Translational Science, University of Iowa, Iowa City, IA, USADepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA Department of Medicine, Oregon Health & Science University, Portland, OR, USAClinical & Translational Science Center, Weill Cornell Medicine, New York, NY, USAEnterprise 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.https://www.cambridge.org/core/product/identifier/S2059866123000237/type/journal_articleMaturity modelsenterprise data warehouses for researchtranslational researchinfrastructurebiomedical informaticsCTSA |
| spellingShingle | Boyd M. Knosp David A. Dorr Thomas R. Campion Maturity in enterprise data warehouses for research operations: Analysis of a pilot study Journal of Clinical and Translational Science Maturity models enterprise data warehouses for research translational research infrastructure biomedical informatics CTSA |
| title | Maturity in enterprise data warehouses for research operations: Analysis of a pilot study |
| title_full | Maturity in enterprise data warehouses for research operations: Analysis of a pilot study |
| title_fullStr | Maturity in enterprise data warehouses for research operations: Analysis of a pilot study |
| title_full_unstemmed | Maturity in enterprise data warehouses for research operations: Analysis of a pilot study |
| title_short | Maturity in enterprise data warehouses for research operations: Analysis of a pilot study |
| title_sort | maturity in enterprise data warehouses for research operations analysis of a pilot study |
| topic | Maturity models enterprise data warehouses for research translational research infrastructure biomedical informatics CTSA |
| url | https://www.cambridge.org/core/product/identifier/S2059866123000237/type/journal_article |
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