Scholarlink

This chapter provides a comprehensive overview of FAIR principles applied to omics data management, addressing key challenges in handling large-scale, heterogeneous datasets while promoting reproducibility, collaboration, and open science practices. It covers essential strategies including Data Management Plans (DMPs), file organization, metadata standards, ontologies, repository selection, interoperability protocols, and security measures for privacy and ethics compliance. Best practices are outlined for achieving Findable, Accessible, Interoperable, and Reusable data, with recommendations for continuous improvement to support cross-omics integration and long-term data stewardship.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

FAIR Omics Data Management: Overview, Challenges, and Best Practices

  • 章节

  • 发表日期：

    2026年

查看全文
  • Francisco Pina-Martins,
  • Gil Poiares-Oliveira,
  • Jorge Oliveira,
  • Catia Pesquita

摘要

This chapter provides a comprehensive overview of FAIR principles applied to omics data management, addressing key challenges in handling large-scale, heterogeneous datasets while promoting reproducibility, collaboration, and open science practices. It covers essential strategies including Data Management Plans (DMPs), file organization, metadata standards, ontologies, repository selection, interoperability protocols, and security measures for privacy and ethics compliance. Best practices are outlined for achieving Findable, Accessible, Interoperable, and Reusable data, with recommendations for continuous improvement to support cross-omics integration and long-term data stewardship.