As an integrated part of the preprinting process on Research Square platform, SciScore will help authors ensure the science behind their manuscripts is better prepared for peer review. SciScore scans preprint methods against various research guidelines and rigor criteria known to support the reproducibility of scientific research, including evidence of reagent identifiability, randomisation, sample size estimation, and more. SciScore also analyses sentences for uniquely identifiable research resources, and generates a Methods Completeness Score and report that will help authors improve the rigor and reproducibility of their preprints.
It is estimated that 50% of the United States’ preclinical research spend in recent years is not reproducible, mainly due to flaws in reference material, unreliable source identification, and similar issues. Research Square’s solution helps flag cell line contamination and other issues for authors at the preprint phase, before they are submitted to journals.
Authors uploading their manuscripts to Research Square can opt to receive the SciScore-based Methods Completeness Score and report at no cost through November 1, 2020.
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