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

在过去二十年中，以数字形式调动了大量关于生物多样性和相关环境的数据。总的来说，这些数据提供了一个强大的资源，当经过精心策划和整合时，可以提供关键信息，为新出现的复杂的全球生物，环境和公共卫生挑战提供信息。挖掘标本、观测和环境数据的巨大潜力需要我们整合多样化和复杂的数据集，连接特定领域的社区，并弥合特定学科的社会规范和数据基础设施。将数据与其各自的社区联系起来是创建可访问和丰富的数据源的关键下一步，这些数据源是增强广泛的综合生物研究和教育所需的。一个集成和开放的数据网络将使研究人员能够了解生物体如何生长、多样化、相互作用和影响环境的规则，以及环境变化和人类活动如何影响这些规则。该项目将召集来自生物多样性、生态和环境数据提供者、管理者和用户的利益攸关方，目标是建立一个合作和可访问的伙伴关系，以建立一个综合和扩大的数据网络。虚拟讨论将侧重于推进数据文化和基础设施，以满足研究、教育、保护、生物安全和生物经济方面的新需求。该项目将为数据整合的下一个步骤提供信息，同时注意支持正规和非正规教育，包括通过外联和社区科学进行参与，并为历史上代表性不足的群体的个人提供参与生物多样性研究和教育的新机会和途径。采用开放和团队科学的原则，生物多样性收集网络（BCoN）与美国生物科学研究所合作，将与来自不同数据领域的代表合作，计划一系列利益相关者倾听会议，旨在建立不同数据社区之间的合作-强调从内部建立更大的跨学科社区的迭代过程。社区建设和利益相关者的参与将针对研究生，博士后研究员和早期职业专业人士，他们来自传统上代表性不足的STEM群体。六个新兴的职业专业人员将有机会参与领导和促进指导，获得经验进行和主持跨学科的合作讨论。聆听会议的讨论将建立在BCoN倡导的扩展样本网络（ESN）愿景的基础上，并将其与其他现有的数据集成和应用概念框架联系起来。来自联邦机构、生态数据界、气候和环境数据界、遗传数据界、生物多样性信息学界、“一个健康”社区、国际倡议和其他利益攸关方团体的代表随后将被邀请参加一个更广泛的跨学科在线研讨会。计划中的活动将连接孤立的生物和环境数据社区，并增强现有的倡议，以就建立一个集成的、开放的、公平的（可查找、可扩展、可互操作和可重用）数据网络的后续步骤达成共识。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

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.