让科学界参与高质量生物数据整理：国际生物数据整理学会研讨会报告——“最大化社区数据整理以造福所有人”
Engaging the scientific community in high-quality biocuration: a report on the International Society for Biocuration workshop, 'Maximizing community curation for the benefit of all'
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中文总结 AI 辅助
本文介绍了国际生物数据整理学会举办的研讨会，评估社区数据整理现状，探讨推动其成为生物资源维护标准实践的通用方法与工具。
中文摘要 AI 辅助
生物知识库传统上依赖专业人员对研究文献进行整理，以维护以机器可读形式组织的最新数据集合。然而，尽管可整理的生物医学知识不断增加，对知识库的支持却在下降，这些资源别无选择，只能探索更新和维护内容的其他方式。知识库解决这一问题的一种方式是邀请研究人员帮助整理他们已发表的论文，这一过程通常被称为“社区数据整理”。不过，尽管社区数据整理可能很有帮助，但它并未被普遍采用，而且对于采用了社区数据整理的群体而言，其方法也多种多样。为了了解现有的社区数据整理流程，并探索实现通用方法的可能性，我们在斯托尔斯医学研究所主办的第18届国际生物数据整理会议上组织了一场题为“最大化社区数据整理以造福所有人”的研讨会。我们的目标是研究各群体使用的不同策略，分享成功经验、失败教训和持续存在的挑战，并提出可交付成果建议，以推动更广泛地采用用于有效社区数据整理的通用最佳实践和工具。来自18个不同资源的代表，涵盖模式生物知识库、专业知识库、期刊及文献资源，展示了他们的工作。此次研讨会的成果是对社区数据整理的最新状态进行了全面评估，并深入探讨了如何让社区数据整理成为维护及时、高质量生物资源的标准实践，这些资源将继续为科学家的研究提供所需的必要信息。
英文摘要
Biological knowledgebases traditionally rely on expert, professional curation of the research literature to maintain up-to-date collections of data organized in machine-readable form. However, despite the increasing amount of curatable biomedical knowledge, support for knowledgebases is declining, leaving these resources no alternative but to explore additional ways of updating and maintaining content. One way in which knowledgebases have addressed this problem is by engaging researchers to help curate their published papers, a process generally known as 'community curation'. As helpful as community curation can be, though, it is not universally adopted and, for groups that do have it, there is a wide range of approaches. To learn about existing community curation pipelines and explore possibilities for working towards a common approach, we organized a workshop, Maximizing Community Curation for the Benefit of All, at the 18th International Biocuration Conference, hosted by the Stowers Institute for Medical Research. Our aim was to examine the different strategies that groups use, share successes, failures, and ongoing challenges, and produce suggested deliverables for broader adoption of common best practices and tools for effective community curation. Representatives from 18 different resources, ranging from model organism and specialty knowledgebases to journals and literature resources, presented their work. The result was a comprehensive assessment of the state-of-the-art for community curation and an in-depth discussion on how community curation can become standard practice for maintaining timely, highquality biological resources that will continue to provide scientists with the essential information they need for their research.
发表机构
- California Institute of Technology（加州理工学院）
- Maastricht University（马斯特里赫特大学）
- University of Cape Town（开普敦大学）
- EMBL-EBI（欧洲生物信息学研究所）
- Ontario Institute for Cancer Research（安大略癌症研究所）
- BGI Hong Kong Tech Co Ltd.（华大时空科技有限公司）
- University of Basel（巴塞尔大学）
- Oregon State University（俄勒冈州立大学）
- University of Padova（帕多瓦大学）
- Texas A&M University（德克萨斯农工大学）
- The University of Georgia（佐治亚大学）
- Phoenix Bioinformatics（凤凰生物信息学）
- Georgetown University Medical Center（乔治城大学医学中心）
机构由 AI 辅助整理，请以论文原文为准。
