Reproducibility is crucial for open science. The complexity and growth of biomedical data hinder FAIR (findable, accessible, interoperable, and reusable) data sharing. To address this, the authors created ORCESTRA (orcestra.ca), a cloud-based platform for reproducible processing of multimodal biomedical data. ORCESTRA processes clinical, genomic, and perturbation data through customizable pipelines, creates integrated, documented data objects with DOIs, and manages dataset versions for sharing.
Publisher
Nature Communications
Published On
Oct 04, 2021
Authors
Anthony Mammoliti, Petr Smirnov, Minoru Nakano, Zhaleh Safikhani, Christopher Eeles, Heewon Seo, Sisira Kadambat Nair, Arvind S. Mer, Ian Smith, Chantal Ho, Gangesh Beri, Rebecca Kusko, Eva Lin, Yihong Yu, Scott Martin, Marc Hafner, Benjamin Haibe-Kains
Tags
reproducibility
open science
biomedical data
data sharing
cloud-based platform
customizable pipelines
integrated data objects
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