ProvCaRe: Characterizing scientific reproducibility of biomedical research studies using semantic provenance metadata.

Journal: International journal of medical informatics
Published Date: Nov 3, 2018

Abstract

OBJECTIVE: Reproducibility of research studies is key to advancing biomedical science by building on sound results and reducing inconsistencies between published results and study data. We propose that the available data from research studies combined with provenance metadata provide a framework for evaluating scientific reproducibility. We developed the ProvCaRe platform to model, extract, and query semantic provenance information from 435, 248 published articles.

Authors

  • Satya S Sahoo
    Division of Medical Informatics, School of Medicine, Case Western Reserve University, Cleveland, OH.
  • Joshua Valdez
    Division of Medical Informatics, School of Medicine, Case Western Reserve University, Cleveland, OH.
  • Matthew Kim
    Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Harvard University Boston, MA.
  • Michael Rueschman
    Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
  • Susan Redline
    Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Harvard University Boston, MA.

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