Knowledge management (KM) involves collecting, organizing, storing, and disseminating information to improve decision-making, innovation, and performance. Implementing KM at scale has become essential for organizations to effectively leverage vast accessible data. This paper is a compilation of concepts that emerged from KM workshops hosted by EMBL-EBI, attended by SMEs and industry. We provide guidance on envisioning, executing, evaluating, and evolving knowledge management platforms. We emphasize essential considerations such as setting knowledge domain boundaries and measuring success, as well as the importance of making knowledge accessible for downstream applications and non-computational users and highlights necessary personal and organizational skills for success. We stress the importance of collaboration and the need for convergence on shared principles and commitment to provide or seek resources to advance KM. The community is invited to join the journey of KM and contribute to the advancement of the field by applying and improving on the guidelines described.

翻译：知识管理（KM）涉及信息的收集、组织、存储与传播，旨在改善决策、促进创新并提升绩效。对于组织而言，大规模实施知识管理已成为有效利用海量可访问数据的关键。本文汇编了欧洲分子生物学实验室-欧洲生物信息学研究所（EMBL-EBI）举办的知识管理研讨会上形成的概念，该研讨会吸引了中小型企业及产业界参与。我们为知识管理平台的规划、实施、评估与演进提供指导，重点阐述了设定知识领域边界与衡量成效等核心考量，强调了知识对于下游应用及非计算用户的可访问性，并指出了成功所需的关键个人与组织能力。我们着重强调了协作的重要性，以及就共同原则达成共识、承诺提供或寻求资源以推进知识管理的必要性。我们诚邀各界加入知识管理的探索之旅，通过应用并完善本文所述的指导原则，共同推动该领域的发展。