Medicine and Health

Open source and reproducible and inexpensive infrastructure for data challenges and education

P. E. Dewitt, M. A. Rebull, et al.

Unlock the potential of research data sharing with a groundbreaking study by Peter E. DeWitt, Margaret A. Rebull, and Tellen D. Bennett. Discover how a cost-effective, reproducible workflow was created using GitHub, open-source languages, and Docker to democratize data challenges in pediatric traumatic brain injury. Take a look at the results of their innovative approach!

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Playback language: English

Index

Abstract

Data sharing is crucial for maximizing research data's actionable knowledge. Data challenges encourage secondary data analyses, but often rely on expensive cloud-based infrastructure. This study developed a cost-effective, reproducible workflow using GitHub, open-source languages, and Docker for data sharing and hosting data challenges. A pediatric traumatic brain injury data challenge was conducted using this infrastructure, and the results, along with the infrastructure and workflow, are reported.

Publisher

Scientific Data

Published On

Jan 02, 2024

Authors

Peter E. DeWitt, Margaret A. Rebull, Tellen D. Bennett

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