Data management is not just an organizing system. Data management is a critical analytical tool. Research standards tell us that conclusions must be supported by “proof.” Standards insist that “proof” is more than “a document”—rather, it’s a conclusion based on a body of evidence created by reasonably exhaustive research. Meeting this standard creates a paradox: The more data we gather, the more confused we get!—unless we maintain that body of evidence in a way that enables us to digest it, analyze it, and correlate it with everything else we’ve found. This session presents a framework for projects of all types and sizes, building on sound research practices that carry us smoothly from problem analysis to problem resolution.
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