Scientific workflows have become essential for orchestrating complex computational processes across distributed resources, managing large datasets, and ensuring reproducibility in modern research. The Workflows Community Summit 2025, held in Amsterdam on June 6th, 2025, convened international experts to examine emerging challenges and opportunities in this domain. Participants identified key barriers to workflow adoption, including tensions between system generality and domain-specific utility, concerns over long-term sustainability of workflow systems and services, insufficient recognition for those who develop and maintain reproducible workflows, and gaps in standardization, funding, training, and cross-disciplinary collaboration. To address these challenges, the summit proposed action lines spanning technology, policy, and community dimensions: shifting evaluation metrics from raw computational performance toward measuring genuine scientific impact; formalizing workflow patterns and community-driven benchmarks to improve transparency, reproducibility, and usability; cultivating a cohesive international workflows community that engages funding bodies and research stakeholders; and investing in human capital through dedicated workflow engineering roles, career pathways, and integration of workflow concepts into educational curricula and long-term training initiatives. This document presents the summit's findings, beginning with an overview of the current computing ecosystem and the rationale for workflow-centric approaches, followed by a discussion of identified challenges and recommended action lines for advancing scientific discovery through workflows.

翻译：科学工作流已成为现代研究中协调跨分布式资源的复杂计算过程、管理大规模数据集以及确保可重复性的关键工具。2025年6月6日在阿姆斯特丹举办的2025年工作流社区峰会汇集了国际专家，共同探讨该领域的新兴挑战与机遇。与会者指出了工作流应用面临的主要障碍，包括系统通用性与领域特定效用之间的张力、工作流系统与服务长期可持续性的担忧、工作流开发与维护人员在可重复性工作流方面获得的认可不足，以及标准化、资金支持、培训与跨学科协作方面的缺口。为应对这些挑战，峰会提出了涵盖技术、政策与社区维度的行动路线：将评估指标从原始计算性能转向衡量真实的科学影响；通过形式化工作流模式与社区驱动的基准测试提升透明度、可重复性与可用性；培育一个凝聚的国际工作流社区，吸引资助机构与研究相关方参与；并通过设立专门的工作流工程岗位、职业发展路径，以及将工作流概念融入教育课程与长期培训计划来投资人力资本。本文档呈现了峰会的研讨成果，首先概述当前计算生态系统及以工作流为核心的研究方法的理论基础，随后讨论已识别的挑战，并提出通过工作流推进科学发现所建议的行动路线。