Workshop: Addressing data management challenges within integrative biodiversity projects; Spring/Summer; University of Florida

能否确定调节不同生态系统中生物多样性的多样化、维持和/或丧失的共同机制，取决于是否有跨生境、时间尺度、生物组织水平和地理区域的相关数据。本次研讨会将汇集生物多样性项目的六个维度的参与者，涵盖陆地到海洋系统，过去和现在的时间尺度，生物组织的细胞到生态系统水平，以及不同的地理区域，讨论使生物多样性数据更具可比性的挑战。跨学科分析可比生物多样性数据的能力将为确定不同生态系统的共同主题提供新的机会，并加强当前和未来对不同栖息地的管理实践。15人将参加研讨会，包括全职，副教授和助理教授，以及博士后研究员和研究生。将优先考虑早期职业科学家和在科学领域代表性不足的群体的参与。参与的六个生物多样性方面项目中有四个将由妇女研究人员代表，这六个项目中有两个是在西班牙裔服务机构。该研讨会将加强以多样性为重点的项目内的跨学科工作，并促进跨研究团队的联合数据分析。生物多样性项目的维度基本上是跨学科的，整合了生物多样性的遗传，系统发育和功能方面。这些核心维度中的每一个都生成许多不同类型的数据，包括位置和丰度、基因组序列、环境、古气候和表型信息。多个项目还收集了一系列地理尺度（从当地到大陆）和时间段（从现在到过去的数千年或数百万年）的数据。然而，共享数据集的数量和异质性使目前综合解决一些最基本的生物多样性问题的能力受到限制。本次研讨会将为与会者提供一个机会，分享挑战，调查结果，数据管理方法，以及讨论潜在的解决方案。

The ability to identify common mechanisms regulating the diversification, maintenance and/or loss of biodiversity in diverse ecosystems depends on having relatable data across habitats, time-scales, levels of biological organization and geographical regions. This workshop will bring together participants from six Dimensions of Biodiversity projects spanning terrestrial to marine systems, past and present time-scales, cellular to ecosystem levels of biological organization, and diverse geographical regions to discuss the challenges in making biodiversity data more comparable across projects. The ability to analyze comparable biodiversity data across disciplines will offer new opportunities to identify common themes across diverse ecosystems and enhance current and future management practices for diverse habitats. Fifteen people will attend the workshop including Full, Associate, and Assistant Professors, as well as postdoctoral fellows and graduate students. Participation by early-career scientists and groups under-represented in science will be prioritized. Four of the six Dimensions of Biodiversity projects participating will be represented by women researchers, and two of these six projects are based at Hispanic-serving institutions. This workshop will enhance interdisciplinary work within diversity-focused projects and facilitate joint data analyses across research teams. Dimensions of Biodiversity projects are fundamentally transdisciplinary, integrating across genetic, phylogenetic and functional aspects of biodiversity. Each of these core dimensions generates many different types of data, including locality and abundance, genomic sequence, environmental, paleoclimatic, and phenotypic information. Multiple projects also gather these data across a range of geographic scales (local to continental) and time periods (present day to thousands or millions of years in the past). However, the volume and heterogeneous nature of the shared datasets strain the current capacity to integratively address some of the most fundamental questions about biodiversity. This workshop will provide participants an opportunity to share challenges, findings, data management approaches, as well as discuss potential solutions.