A standards perspective on genomic data reusability and reproducibility.

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in bioinformatics Pub Date : 2025-03-10 eCollection Date: 2025-01-01 DOI:10.3389/fbinf.2025.1572937
Ishi Keenum, Scott A Jackson, Emiley Eloe-Fadrosh, Lynn M Schriml
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引用次数: 0

Abstract

Genomic and metagenomic sequence data provides an unprecedented ability to re-examine findings, offering a transformative potential for advancing research, developing computational tools, enhancing clinical applications, and fostering scientific collaboration. However, effective and ethical reuse of genomics data is hampered by numerous technical and social challenges. The International Microbiome and Multi'Omics Standards Alliance (IMMSA, https://www.microbialstandards.org/) and the Genomic Standards Consortium (GSC, https://gensc.org) hosted a 5-part seminar series "A Year of Data Reuse" in 2024 to explore challenges and opportunities of data reuse and reproducibility across disparate domains of the genomic sciences. Addressing these challenges will require a multifaceted approach, including common metadata reporting, clear communication, standardized protocols, improved data management infrastructure, ethical guidelines, and collaborative policies that prioritize transparency and accessibility. We offer strategies to enable responsible and technically feasible data reuse, recognition of data reproducibility challenges, and emphasizing the importance of cross-disciplinary efforts in the pursuit of open science and data-driven innovation.

基因组数据可重用性和可重复性的标准视角。
基因组和宏基因组序列数据提供了前所未有的重新检查发现的能力,为推进研究、开发计算工具、加强临床应用和促进科学合作提供了变革潜力。然而,基因组学数据的有效和道德再利用受到许多技术和社会挑战的阻碍。国际微生物组和多组学标准联盟(IMMSA, https://www.microbialstandards.org/)和基因组标准联盟(GSC, https://gensc.org)于2024年举办了一个由5部分组成的系列研讨会“数据重用的一年”,探讨基因组科学不同领域数据重用和可重复性的挑战和机遇。应对这些挑战需要采取多方面的方法,包括共同的元数据报告、明确的沟通、标准化的协议、改进的数据管理基础设施、道德准则以及优先考虑透明度和可访问性的协作政策。我们提供策略,以实现负责任和技术上可行的数据重用,识别数据可重复性挑战,并强调跨学科努力在追求开放科学和数据驱动创新中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.60
自引率
0.00%
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