Genetic testing has taken the genealogical world by storm—but many good genealogists feel lost in that storm; and more than a few family trees have suffered damage. How do we harness the power of genetic genealogy without being swept away in the surge? This session guides genealogists through four areas: (1) converting DNA data into evidence; (2) turning that evidence into proof; (3) crafting citations that include all genetic details needed for proof; and (4) protecting privacy throughout the research and presentation of our conclusions. The session offers simple but solid ground rules—no geek speak!—illustrated by a variety of case studies.
Across a long career, Elizabeth Shown Mills, CG, CGL, FASG, FUGA, FNGS, has been an innovator of research methods and strategies. Published widely by academic and popular presses, she edited a national-level scholarly journal for 16 years, taught
Information Overload? Effective Project Planning, Research, Data Management & Analysis
Fri, November 22 2024: 19:00 UTC
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.
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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