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Figure 1: Example of Current Workflow
The goal for the future state of analysis results is that they are machine-readable, easily navigable, and highly reusable. Our aim was to create a logical model that fully described analysis results and associated metadata to support the following objectives:
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Figure 2: Example of Potential Future Workflow
First, an end-user 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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Overall, this new workflow would enable end-users to generate analysis results metadata prospectively, with greater standardization, consistency, and traceability of analysis results reporting, enabling better decision-making and regulatory submissions. Shifting the focus from retrospective reporting to prospective planning would help to address many of the current limitations of analysis results reporting and support the development of more efficient and effective analysis standards.
Use of LinkML for the development of the ARS Logical Model
Many of the same metadata components are needed both to create a prospective technical specification of analyses to be performed and to give context to reported results. Therefore a single logical model comprising components needed to specify analyses, to represent contextualized results and to indicate how the results are displayed. The logical model is being developed using LinkML.
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