Recommendations to enhance rigor and reproducibility in biomedical research
Year: 2020
Type: article
Abstract: Biomedical research depends increasingly on computational tools, but mechanisms ensuring open data, open software, and reproducibility are variably enforced by academic institutions, funders, and publishers. Publications may present software for which source code or documentation are or become unavailable; this compromises the role of peer review in evaluating technical strength and scientific contribution. Incomplete ancillary information for an academic software package may bias or limit subsequent work. We provide 8 recommendations to improve reproducibility, transparency, and rigor in computational biology-precisely the values that should be emphasized in life science curricula. Our recommendations for improving software availability, usability, and archival stability aim to foster a sustainable data science ecosystem in life science research.
Source: GigaScience
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,638
Funders: Silicon Valley Community Foundation, Gordon and Betty Moore Foundation, Alex's Lemonade Stand Foundation for Childhood Cancer, National Institutes of Health, National Human Genome Research Institute, National Cancer Institute, National Institute of Environmental Health Sciences, U.S. National Library of Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: G1106751593, G111388500, G1209581767, G1666894187, G3183524957, An Integrative Omics Approach to Identify Biomarkers Related to Preeclampsia and Breast Cancer Risks, An Integrative Bioinformatics Approach to Study Single Cancer Cell Heterogeneity, G7161748495, G7576132855, Casey Greene Investigator Award, G9000124864, G9000171857
OpenAlex ID: W3006681640