Rice Selena L, Lazarus Elena, Anderton Christopher, Birnbaum Kenneth, Brophy Jennifer, Cole Benjamin, Dickel Diane, Ehrhardt David, Fahlgren Noah, Frank Margaret, Haswell Elizabeth, Huang Shao-Shan Carol, Leiboff Samuel, Libault Marc, Otegui Marisa S, Provart Nicholas, Uhrig R Glen, Rhee Seung Y
Department of Plant Biology Carnegie Institution for Science Stanford California USA.
Environmental Molecular Sciences Division Pacific Northwest National Laboratory Richland Washington USA.
Plant Direct. 2022 Jun 8;6(6):e406. doi: 10.1002/pld3.406. eCollection 2022 Jun.
The Plant Cell Atlas (PCA) community hosted a virtual symposium on December 9 and 10, 2021 on single cell and spatial omics technologies. The conference gathered almost 500 academic, industry, and government leaders to identify the needs and directions of the PCA community and to explore how establishing a data synthesis center would address these needs and accelerate progress. This report details the presentations and discussions focused on the possibility of a data synthesis center for a PCA and the expected impacts of such a center on advancing science and technology globally. Community discussions focused on topics such as data analysis tools and annotation standards; computational expertise and cyber-infrastructure; modes of community organization and engagement; methods for ensuring a broad reach in the PCA community; recruitment, training, and nurturing of new talent; and the overall impact of the PCA initiative. These targeted discussions facilitated dialogue among the participants to gauge whether PCA might be a vehicle for formulating a data synthesis center. The conversations also explored how online tools can be leveraged to help broaden the reach of the PCA (i.e., online contests, virtual networking, and social media stakeholder engagement) and decrease costs of conducting research (e.g., virtual REU opportunities). Major recommendations for the future of the PCA included establishing standards, creating dashboards for easy and intuitive access to data, and engaging with a broad community of stakeholders. The discussions also identified the following as being essential to the PCA's success: identifying homologous cell-type markers and their biocuration, publishing datasets and computational pipelines, utilizing online tools for communication (such as Slack), and user-friendly data visualization and data sharing. In conclusion, the development of a data synthesis center will help the PCA community achieve these goals by providing a centralized repository for existing and new data, a platform for sharing tools, and new analytical approaches through collaborative, multidisciplinary efforts. A data synthesis center will help the PCA reach milestones, such as community-supported data evaluation metrics, accelerating plant research necessary for human and environmental health.
植物细胞图谱（PCA）社区于2021年12月9日至10日举办了一场关于单细胞和空间组学技术的虚拟研讨会。会议召集了近500位学术、行业和政府领导人，以确定PCA社区的需求和方向，并探讨建立一个数据综合中心将如何满足这些需求并加速进展。本报告详细介绍了围绕PCA数据综合中心的可能性以及该中心对全球科技进步的预期影响所进行的演讲和讨论。社区讨论聚焦于数据分析工具和注释标准、计算专业知识和网络基础设施、社区组织和参与模式、确保PCA社区广泛覆盖的方法、新人才的招募、培训和培养，以及PCA计划的总体影响等主题。这些有针对性的讨论促进了参与者之间的对话，以评估PCA是否可能成为建立数据综合中心的一个载体。对话还探讨了如何利用在线工具来帮助扩大PCA的覆盖范围（如在线竞赛、虚拟网络和社交媒体利益相关者参与）并降低开展研究的成本（如虚拟本科生科研实习机会）。对PCA未来的主要建议包括建立标准、创建便于直观访问数据的仪表板，以及与广泛的利益相关者群体进行互动。讨论还确定了以下几点对PCA的成功至关重要：识别同源细胞类型标记及其生物编目、发布数据集和计算管道、利用在线工具进行交流（如Slack），以及用户友好的数据可视化和数据共享。总之，数据综合中心的发展将通过提供一个集中存储现有和新数据的库、一个共享工具的平台以及通过协作的多学科努力提供新的分析方法，来帮助PCA社区实现这些目标。数据综合中心将帮助PCA实现一些里程碑，如获得社区支持的数据评估指标，加速对人类和环境健康至关重要的植物研究。
