The Birth of Eviduction

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After several years researching Neuroscience, it became clear that the traditional journal-article structure of scientific publication was inefficient.  Research involved a tangled web of first-, second-, and higher order references that forced a researcher to wade through dozens of journals in an effort to identify the primary data presented in support of a theory.

Eviduction (the synthesis of evidence and deduction) was born to reduce the inefficiency in the system.  Within Eviduction, a "claim" is surrounded by the complete logical argument and all data that supports (or opposes) a claim.  Articles are "written" by combining claims.  Each claim remains linked to its original such that data, citations, and other associated claims are updated in real time.

This approach is not designed to replace the priority-establishing journal article nor, initially at least, to handle (in detail) the experimental protocols and data embedded in a primary research article.  Instead, it can be viewed as an "electronic textbook" of sorts.  Eviduction will contain review articles, their underlying "claims", the logical structure that supports those claims, and a list of primary resources that support (or oppose) each claim.

A researcher need only read a review article, follow a link to it's underlying claim, and a wealth of references will become immediately available for research.  A chain of references from review article to review article to review article will be eliminated and replaced by a consolidated list of primary sources.

On the other side of the table, a researcher can add their primary research article to a claim, democratizing the flow of information and increasing the odds that a comprehensive list of resources is available to future researchers.

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