There is a common problem often associated with managing data across scientific disciplines. As the stock of information rapidly grows through scientific discoveries, a major data management challenge emerges as data professionals try to tap prior research findings.
Current methods to aggregate quantitative findings (meta-analysis) have limitations. They assume that prior studies share similar designs and substantive factors. They rarely do.
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