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publishing/common/abstract.tex

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 The value of research articles is increasingly contingent on data analysis results which substantiate their claims.
-Unlike data production steps, data analysis steps lend themselves to a higher standard of both transparency and repeated operator-independent execution.
+Unlike data production steps, data analysis steps lend themselves to a higher standard of both full transparency and repeated operator-independent execution.
 This higher standard can be approached via fully reexecutable research outputs, which contain the entire instruction set for end-to-end generation of an entire article solely from the earliest feasible provenance point, in a programatically executable format.
 In this study, we make use of a peer-reviewed neuroimaging article which provides complete but fragile reexecution instructions, as a starting point to formulate a new reexecution system which is both robust and portable.
 We render this system modular as a core design aspect, so that reexecutable article code, data, and environment specifications could potentially be substituted or adapted.