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The Analysis Results Standard (ARS) Model has several possible implementations including leveraging analysis results metadata to aid in automation as well as representing analysis results as data in a dataset structure. The creation of an ARS technical specification could be used support automation, traceability, and the creation of data displays. An analysis results dataset could support reuse and reproducibility of results data. The following is an example of how the ARS Model could be used in a modernized workflow that shifts the focus from retrospective reporting to prospective planning (Figure 2).
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First, an end-users could use the ARS Model to guide in the generation of a technical specification prior to generating a display, rather than after the display has been created. This approach will allow for better planning and standardization of the analysis process, resulting in more consistent and traceable reporting. The technical specification could include metadata about the statistical methods, data sources, and displays to be generated. Once the technical specification has been developed, the end-user can use it to generate an analysis results dataset, which contains the results data needed to generate the display. The analysis results dataset could be designed to support reuse and reproducibility of the results data, enabling more efficient and effective analysis reporting.
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