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

摘要：奖项编号？0940824标题：数据网完整提案：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伊州大学提出了一项名为通过可操作数据实现可持续环境(SEAD)的数据网合作伙伴关系。SEAD将使可持续发展科学的新模式成为可能--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空间和时间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地方和特定地点的观测；参考区域、国家和全球的可比性和尺度；并进行整合，以使最终用户能够发现多种现象之间的相互作用。SEAD将通过开发数据集成、传播和长期保存的新能力，满足可持续发展科学研究人员对异质数据长期管理的明确需求。SEAD将为研究人员提供主动策展的工具，并利用社交网络让数据生产者和用户参与社区策展，逐步将策展和藏品开发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”：派生的数据产品、从个人PI和小组调查中收集的数据，以及对可持续发展科学至关重要但价值有限的具有地方、区域或专题意义的数据集，直到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。SEAD将使不同的用户能够访问数据，包括领域科学家、当地、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储存库(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和持久性。SEAD将通过积极的管理以高效和财政可持续的方式为研究人员提供服务，创新地使用社交网络，将数据与现有的数字图书馆基础设施相结合，并提供综合服务，显著增加数据的研究和社会价值。我们的工作将建立一个新的积极的管理范例，它可以很容易地整合到科学工作流程中，并利用社交网络技术让科学界参与数据管理。我们的研究计划将产生新的解决方案，以合成不同级别的时空粒度和范围的异类数据；管理逻辑上下文和数据模型；在隐私和所有权限制下适当共享数据；以及通过仿真和基于迁移的技术和分布式管理政策进行保存。我们的网络基础设施开发工作将支持在几个层面上发挥作用的储存库网络：本地通过将SEAD数据整合到校园数字图书馆/储存库基础设施中，机构间通过分布式数据管理和存储模式，以及通过将我们的方法扩展到其他美国国税局、其他数据网合作伙伴、传感器和观测网络以及专题数据档案。我们的财务可持续发展计划将确定适当的激励机制和商业模式，其基础是保存和访问服务与研究图书馆管理的信息检索基础设施的紧密结合，以及科学家和用户的持续参与。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的科学知识可持续发展政策和规划能力，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，从而增加对科学研究的公共投资，并使纳税人资助的数据得到广泛提供和更容易使用，这将通过与其他“小科学”领域的伙伴关系提供高价值、高成本效益的管理和保存能力。

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.