Workshop Proposal: Enabling interdisciplinary and collaborative science through integration of biological and environmental data

研讨会提案：通过生物和环境数据的整合实现跨学科和协作科学

• 批准号: 2303588
• 负责人: Jyotsna Pandey
• 金额: $ 10万
• 依托单位: American Institute of Biological Sciences
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-15 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2303588&HistoricalAwards=false
• 关键词: Workshop; Proposal; Enabling; interdisciplinary; collaborative

During the last two decades, a wealth of data on biodiversity and associated environments have been mobilized in digital form. Collectively, these data provide a powerful resource that when curated and integrated with intention can provide critical information to inform emerging complex global biological, environmental, and public health challenges. Tapping the vast potential of specimen, observation and environmental data requires us to integrate diverse and complex datasets, connect domain-specific communities, and bridge discipline-specific social norms and data infrastructures. Linking data and their respective communities are critical next steps to creating the accessible and enriched data source needed to empower broad integrative biological research and education. An integrated and open data network will enable researchers to understand the rules that govern how organisms grow, diversify, interact with one another, and impact their environment, and how environmental change and human activities affect those rules. This project will convene stakeholders from across the spectrum of biodiversity, ecological, and environmental data providers, curators, and users with the goal of initiating a collaborative and accessible partnership towards an integrative and expanded data network. Virtual discussions will focus on advancing data culture and infrastructure that meets emerging needs in research, education, conservation, biosecurity, and the bioeconomy. This project will inform the next steps of data integration with attention to supporting formal and informal education, including engagement through outreach and community science, and providing new opportunities and access for individuals from historically underrepresented groups to engage in biodiversity research and education. Employing principles of open and team science, the Biodiversity Collections Network (BCoN), in collaboration with the American Institute of Biological Sciences, will partner with representatives from various data domains to plan a series of stakeholder listening sessions aimed at building collaborations among disparate data communities – highlighting an iterative process of building a larger, interdisciplinary community from within. Community building and stakeholder engagement will target graduate students, post-doctoral fellows, and early career professionals from traditionally underrepresented groups in STEM. Six emerging career professionals will be mentored with opportunities to engage in leadership and facilitation, gaining experience conducting and moderating interdisciplinary collaborative discussions. Listening session discussions will build on and bridge the Extended Specimen Network (ESN) vision, championed by BCoN, with other existing conceptual frameworks for data integration and application. Representatives from federal agencies, the ecological data community, climate and environmental data community, genetic data community, the biodiversity informatics community, the One Health community, international initiatives, and other stakeholder groups will subsequently be invited to participate in a more expansive, interdisciplinary online workshop. The planned engagements will connect siloed biological and environmental data communities and augment existing initiatives to develop a consensus on the next steps for building an integrated, open, FAIR (Findable, Accessible, Interoperable, and Reusable) data network.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在过去的二十年中，有关生物多样性和相关环境的大量数据已以数字形式动员。总的来说，这些数据提供了一个强大的资源，当策划和集成意图时，可以提供关键信息，以告知新兴复杂的全球生物学，环境和公共卫生挑战。利用标本，观察和环境数据的巨大潜力，我们需要整合多样化和复杂的数据集，连接域特异性社区以及桥梁纪律特定的社会规范和数据基础架构。将数据及其各自社区联系起来是创建赋予广泛综合生物学研究和教育所需的可访问且丰富的数据源的关键下一步。综合和开放的数据网络将使研究人员能够理解管理生物如何生长，多样化，相互作用，影响其环境以及环境变化和人类活动如何影响这些规则的规则。该项目将方便地从生物多样性，生态和环境数据提供商，策展人和用户的利益相关者方便，目的是启动与集成和扩展的数据网络建立协作且易于访问的合作伙伴关系。虚拟讨论将集中于推进数据文化和基础设施，这些基础设施满足了研究，教育，保护，生物安全和生物经济的新兴需求。该项目将为数据集成的下一步提供，并关注支持正规和非正式教育，包括通过外展和社区科学的参与，并为历史上代表性不足的团体的个人提供新的机会和访问，从而从事生物多样性研究和教育。生物多样性收藏网络（BCON）与美国生物科学研究所合作采用开放和团队科学的原则，将与来自各个数据领域的代表合作，计划一系列利益相关者的聆听会议，旨在在不同的数据社区中建立合作，并强调建立一个较大的，跨学科的社区的迭代过程。社区建设和利益相关者的参与将针对学生学生，博士后研究员以及来自STEM中传统代表性不足的团体的早期职业专业人员。将考虑六名新兴职业专业人员，并有机会参与领导力和便利性，获得经验并进行中等的跨学科协作讨论。听力会话讨论将基于BCON支持的扩展标本网络（ESN）愿景，并桥接其他现有的概念框架，以进行数据集成和应用。来自联邦机构，生态数据界，气候和环境数据界，遗传数据社区，生物多样性信息社区，一个健康社区，国际倡议以及其他利益相关者团体的代表将被邀请参加更广泛的跨学科在线在线研讨会。计划的参与将连接孤立的生物学和环境数据社区，并扩大现有的举措，以建立下一步的步骤，以建立一个综合，开放，公平（可找到，可访问，可互动和可重复使用的）数据网络。该奖项反映了NSF的法定使命，并通过评估基金会的智能构成了概念，并被视为值得评估和广泛的范围。