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

研讨会：解决综合生物多样性项目中的数据管理挑战；

• 批准号: 1710560
• 负责人: Ana Carnaval
• 金额: $ 1.68万
• 依托单位: CUNY City College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2019-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1710560&HistoricalAwards=false
• 关键词: Workshop; Addressing; data; management; challenges

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.

确定调节不同生态系统生物多样性的多元化，维持和/或丧失的共同机制的能力取决于跨栖息地，时间量表，生物组织和地理区域水平的相关数据。该研讨会将汇集来自生物多样性项目的六个维度的参与者，这些项目跨越了海洋系统，过去和现在的时间尺度，生物组织的生态系统水平以及各种地理区域，以讨论使生物多样性数据在各个项目中更具可比性的挑战。跨学科分析可比生物多样性数据的能力将为识别各种生态系统的共同主题，并增强各种栖息地的当前和未来管理实践。有15人将参加讲习班，包括完整，副教授和助理教授，博士后研究员和研究生。早期职业科学家和在科学领域中代表不足的团体的参与将得到优先考虑。参与的生物多样性项目的六个维度中有四个将由女性研究人员代表，这六个项目中有两个基于西班牙裔服务机构。该研讨会将增强以多样性项目为中心的跨学科工作，并促进整个研究团队的联合数据分析。生物多样性项目的维度从根本上是跨学科的，在生物多样性的遗传，系统发育和功能方面融合。这些核心维度中的每一个都会产生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。多个项目还可以在一系列的地理量表（本地至大陆）和时间段（过去到数千年或数百万年前）中收集这些数据。但是，共享数据集的数量和异质性质会使当前能力融合解决有关生物多样性的一些最基本问题。该研讨会将为参与者提供分享挑战，发现，数据管理方法以及讨论潜在解决方案的机会。