The main goals and challenges for the life science communities in the Open Science framework are to increase reuse and sustainability of data resources, software tools, and workflows, especially in large-scale data-driven research and computational analyses. Here, we present key findings, procedures, effective measures and recommendations for generating and establishing sustainable life science resources based on the collaborative, cross-disciplinary work done within the EOSC-Life (European Open Science Cloud for Life Sciences) consortium. Bringing together 13 European life science research infrastructures, it has laid the foundation for an open, digital space to support biological and medical research. Using lessons learned from 27 selected projects, we describe the organisational, technical, financial and legal/ethical challenges that represent the main barriers to sustainability in the life sciences. We show how EOSC-Life provides a model for sustainable data management according to FAIR (findability, accessibility, interoperability, and reusability) principles, including solutions for sensitive- and industry-related resources, by means of cross-disciplinary training and best practices sharing. Finally, we illustrate how data harmonisation and collaborative work facilitate interoperability of tools, data, solutions and lead to a better understanding of concepts, semantics and functionalities in the life sciences.

中文翻译：

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“可持续”：EOSC-Life 关于在生命科学数据处理中实施 FAIR 原则的建议

开放科学框架中生命科学界的主要目标和挑战是提高数据资源、软件工具和工作流程的重用和可持续性，特别是在大规模数据驱动的研究和计算分析中。在这里，我们基于 EOSC-Life（欧洲生命科学开放科学云）联盟内完成的协作、跨学科工作，提出了生成和建立可持续生命科学资源的关键发现、程序、有效措施和建议。它汇集了 13 个欧洲生命科学研究基础设施，为支持生物和医学研究的开放数字空间奠定了基础。利用从 27 个选定项目中吸取的经验教训，我们描述了生命科学可持续发展的主要障碍的组织、技术、财务和法律/道德挑战。我们展示 EOSC-Life 如何通过跨学科培训和最佳实践共享，根据 FAIR（可查找性、可访问性、互操作性和可重用性）原则提供可持续数据管理模型，包括敏感和行业相关资源的解决方案。最后，我们说明数据协调和协作工作如何促进工具、数据、解决方案的互操作性，并更好地理解生命科学中的概念、语义和功能。