Reproducibility Needs Reshape Scientific Data Governance

• URL: http://arxiv.org/abs/2410.12800v1
• Date: Sun, 29 Sep 2024 22:13:19 GMT
• Title: Reproducibility Needs Reshape Scientific Data Governance
• Authors: Paul Meijer, Yousef Aggoune, Madeline Ambrose, Aldan Beaubien, James Harvey, Nicole Howard, Neelima Inala, Ed Johnson, Autumn Kelsey, Melissa Kinsey, Jessica Liang, Paul Mariz, Stark Pister, Sathya Subramanian, Vitalii Tereshchenko, Anne Vetto,
• Abstract summary: Data governance should prioritize maximizing the utility of data throughout the research lifecycle. Proactive analysis and data governance are integral and interconnected components of research lifecycle management.
• Score: 0.0
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• Abstract: Scientific data governance should prioritize maximizing the utility of data throughout the research lifecycle. Research software systems that enable analysis reproducibility inform data governance policies and assist administrators in setting clear guidelines for data reuse, data retention, and the management of scientific computing needs. Proactive analysis reproducibility and data governance are integral and interconnected components of research lifecycle management.

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