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In some fields, research findings are rigorously curated in a common language and made available to enable future use and large-scale, robust insights. Organizational researchers have begun such efforts [e.g., metaBUS ( http://metabus.org/ )] but are far from the efficient, comprehensive curation seen in areas such as cognitive neuroscience or genetics. This review provides a sample of insights from research curation efforts in organizational research, psychology, and beyond—insights not possible by even large-scale, substantive meta-analyses. Efforts are classified as either science-of-science research or large-scale, substantive research. The various methods used for information extraction (e.g., from PDF files) and classification (e.g., using consensus ontologies) is reviewed. The review concludes with a series of recommendations for developing and leveraging the available corpus of organizational research to speed scientific progress.
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Stored only when both papers are in the corpus — 11 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.