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Results: 4

1.
Figure 3

Figure 3. From: A centralized research data repository enhances retrospective outcomes research capacity: a case report.

Columbia urology retrospective research publications. This figure isolates retrospective studies contrasting the contribution of the new model to that of the old. From 2009 to 2011, the new model had a steady rise in contributions to the literature. In 2011, publications in the new model had overtaken those in the old model.

Gregory William Hruby, et al. J Am Med Inform Assoc. 2013 May-Jun;20(3):563-567.
2.
Figure 2

Figure 2. From: A centralized research data repository enhances retrospective outcomes research capacity: a case report.

Columbia urology publications January 2005–December 2011. This figure represents the urology department's academic contribution over the past 7 years. Of note, most contributions are in the form of retrospective database studies (Retro: red bars).

Gregory William Hruby, et al. J Am Med Inform Assoc. 2013 May-Jun;20(3):563-567.
3.
Figure 4

Figure 4. From: A centralized research data repository enhances retrospective outcomes research capacity: a case report.

Columbia urology retrospective research publication quality. This graph illustrates the average journal impact factor by year and research model. Publication quality and quantity both increase continuously in the new model and accordingly decreased in the old model.

Gregory William Hruby, et al. J Am Med Inform Assoc. 2013 May-Jun;20(3):563-567.
4.
Figure 1

Figure 1. From: A centralized research data repository enhances retrospective outcomes research capacity: a case report.

Research project workflow. The new urology research workflow was an unexpected result of the implementation of the centralized research data repository (CRDR). As seen here the CRDR enables this workflow by providing support at key steps along an iterative research process encompassing feasibility assessment, missing data/chart review, and dataset generation. Additionally, the CRDR makes possible an iterative data enrichment process.

Gregory William Hruby, et al. J Am Med Inform Assoc. 2013 May-Jun;20(3):563-567.

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