DataNet Full Proposal: Sustainable Environment through Actionable Data (SEAD)

DataNet 完整提案：通过可操作数据实现可持续环境 (SEAD)

• 批准号: 0940824
• 负责人: Margaret Hedstrom
• 金额: $ 800万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0940824&HistoricalAwards=false
• 关键词: DataNet; Full; Proposal; Sustainable; Environment

Abstract:Award Number ? 0940824Title: DataNet Full Proposal: Sustainable Environment through Actionable Data (SEAD)The universities of Michigan, Indiana, and Illinois propose a DataNet partnership called Sustainable Environment through Actionable Data (SEAD). SEAD will enable new modalities of sustainability science - the study of dynamic interactions between nature and society. Advancing the science of sustainability requires integration of social science, natural science, and environmental data at multiple spatial and temporal scales that is rich in local and location-specific observations; referenced for regional, national, and global comparability and scale; and integrated to enable end users to detect interactions among multiple phenomena. SEAD will respond to the expressed needs of sustainability science researchers for long-term management of heterogeneous data by developing new capabilities for data integration, dissemination, and long-term preservation. SEAD will provide researchers with tools for active curation and use social networking to engage data producers and users in community curation, gradually shifting curatorial and collection development responsibilities from professional curators to the producer and user communities. Our focus is on the "long tail" of social and environmental data: derived data products, data collections from individual PI's and small group investigations, and data sets of local, regional or topical significance that are critical to sustainability science but are of limited value until they can be referenced geo-spatially and temporally, combined with related data and observations, and modeled consistently. SEAD will make data accessible to diverse users, including domain scientists, local, national and international policy makers, manufacturers of sustainable technologies, citizen scientists, and informed consumers. SEAD will take advantage of existing robust digital library and institutional repository (IR) infrastructures at the three universities for access, storage, and preservation to ensure wide accessibility of data, linkages between data and scientific publications, and persistence.SEAD will serve researchers efficiently and in a financially sustainable way via active curation, make innovative use of social networking, integrate data with existing digital library infrastructures, and provide synthesis services that significantly increase the research and societal value of data. Our work will establish a new active curation paradigm that can be readily integrated into the scientific workflow and that leverages social networking technologies to engage the science community in data curation. Our research program will produce novel solutions to the synthesis of heterogeneous data across different levels of spatio-temporal granularity and scope; management of logical contexts and data models; appropriate sharing of data with privacy and proprietary restrictions; and preservation through emulation and migration-based-technologies and policies for distributed stewardship. Our cyberinfrastructure development work will support a network of repositories that functions on several levels: locally through integration of SEAD data into campus digital library/repository infrastructures, inter-institutionally through a model for distributed data curation and storage, and nationally and internationally by extending our approach to other IRs, other DataNet Partners, sensor and observational networks, and topical data archives. Our financial sustainability plan will identify appropriate incentive mechanisms and business models based on a tight coupling of preservation and access services with research library managed IR infrastructure and ongoing involvement of scientists and users.SEAD will build national and global capabilities for science-informed sustainability policy and planning in land use, natural resource management, agriculture, energy, economic development, "green" manufacturing, and related areas where critical decisions will be made in the next decade. The project will engage the community that preserves and shares scientific data, thus enhancing the public investment in scientific research and making taxpayer funded data widely available and easier to use which will provide high-value cost-effective curation and preservation capabilities through partnerships with other "small science" domains.

摘要：奖项编号？[0940824]标题：DataNet完整提案：通过可操作数据实现可持续环境（SEAD）密歇根大学、印第安纳大学和伊利诺斯大学提出了一项名为通过可操作数据实现可持续环境（SEAD）的DataNet合作计划。SEAD将实现可持续发展科学的新模式-研究自然与社会之间的动态相互作用。推进可持续发展科学需要在多个时空尺度上整合社会科学、自然科学和环境数据，这些数据具有丰富的局部和特定地点观测数据；参考区域、国家和全球的可比性和规模；并且集成使最终用户能够检测多种现象之间的交互。SEAD将通过开发数据集成、传播和长期保存的新能力，响应可持续性科学研究人员对异构数据长期管理的明确需求。SEAD将为研究人员提供积极策展的工具，并利用社交网络吸引数据生产者和用户参与社区策展，逐步将策展和收藏发展的责任从专业策展人转移到生产者和用户社区。我们的重点是社会和环境数据的“长尾”：衍生数据产品，来自个人PI和小团体调查的数据收集，以及对可持续发展科学至关重要的地方，区域或局部意义的数据集，但除非它们能够在地理空间和时间上被引用，与相关数据和观测相结合，并一致地建模，否则它们的价值有限。SEAD将为不同的用户提供数据，包括领域科学家、地方、国家和国际政策制定者、可持续技术制造商、公民科学家和知情的消费者。SEAD将利用三所大学现有的强大的数字图书馆和机构存储库（IR）基础设施进行访问、存储和保存，以确保数据的广泛可访问性、数据与科学出版物之间的联系以及持久性。SEAD将通过积极的策展，创新地利用社交网络，将数据与现有的数字图书馆基础设施整合，并提供综合服务，从而有效地为研究人员提供服务，并显著提高数据的研究和社会价值。我们的工作将建立一种新的主动管理范式，可以很容易地集成到科学工作流程中，并利用社交网络技术使科学界参与数据管理。我们的研究计划将为跨时空粒度和范围的不同层次的异构数据的综合提供新的解决方案；逻辑上下文和数据模型的管理；在隐私和专有限制的情况下适当共享数据；以及通过模拟和基于迁移的技术和分布式管理策略进行保存。我们的网络基础设施开发工作将支持在几个层面上运行的存储库网络：本地通过将SEAD数据集成到校园数字图书馆/存储库基础设施，机构间通过分布式数据管理和存储模型，以及通过将我们的方法扩展到其他IRs，其他DataNet合作伙伴，传感器和观测网络以及专题数据档案，在国内和国际上。我们的财务可持续性计划将根据保存和访问服务与研究图书馆管理的IR基础设施以及科学家和用户的持续参与的紧密耦合，确定适当的激励机制和商业模式。SEAD将在土地利用、自然资源管理、农业、能源、经济发展、“绿色”制造和相关领域建立国家和全球能力，这些领域将在未来十年做出关键决策。该项目将使保存和共享科学数据的社区参与进来，从而加强对科学研究的公共投资，使纳税人资助的数据更容易获得和使用，这将通过与其他“小科学”领域的伙伴关系提供高价值的、具有成本效益的管理和保存能力。