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(Semi)Automated Approaches To Data Extraction For Systematic Reviews And Meta-Analyses In Social Sciences: A Living Review Protocol, Amanda Legate, Kim Nimon

Human Resource Development Faculty Publications and Presentations

Background: An abundance of rapidly accumulating scientific evidence presents novel opportunities for researchers and practitioners alike, yet such advantages are often overshadowed by resource demands associated with finding and aggregating a continually expanding body of scientific information. Across social science disciplines, the use of automation technologies for timely and accurate knowledge synthesis can enhance research translation value, better inform key policy development, and expand the current understanding of human interactions, organizations, and systems. Ongoing developments surrounding automation are highly concentrated in research for evidence-based medicine with limited evidence surrounding tools and techniques applied outside of the clinical research community. Our …