Belmont Forum Collaborative Research: Building New Tools for Data Sharing and Re-use through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas (PARSEC)

将计算机科学和技术以及大型和复杂的数据集用于跨学科和跨学科科学的能力正在出现。因此，至关重要的是建立和启用跨国框架，使数据驱动的科学知识能够超越学科和地理边界，最终增加政策和行动的科学基础。全球环境变化研究领域内的国际合作有可能为具有共享服务的联合数据集成和分析系统建立国际基础，汇集公共和私营部门的最佳做法，促进科学界的开放数据和开放科学管理，包括出版、鼓励数据和云提供商及其他机构采用共同标准和实践，造福所有人。该奖项支持美国研究人员参与一个项目，该项目由来自23个国家的29个资助机构通过贝尔蒙特论坛（Belmont Forum）竞争性选出征集关于“科学驱动的电子基础设施创新，促进环境变化领域跨国、跨学科和跨学科数据的使用”的提案。 SEI是一项多边倡议，旨在支持研究项目，将环境，社会和经济科学家与数据科学家，计算科学家以及电子基础设施和网络基础设施开发商和提供商聚集在一起，以解决跨学科和跨学科环境变化研究目前面临的一个或多个方法，技术和/或程序挑战，涉及与大型，多样和多来源的跨国数据。SEI呼吁将研究思维和技术创新紧密联系起来，以加速发现驱动的数据使用和开放科学的全路径，并使更广泛的科学界能够从已确定的新的和潜在的破坏性示范者或试点中受益。科学进步取决于数据，软件，样本和数据产品的可用性，可访问性和可重用性。然而，地球上的大量数据没有得到很好的保存或根本没有保存。该项目将通过支持综合科学团队和数据科学团队的合作来解决这些问题。这些小组将与一个关于使用和再使用环境和社会经济数据的项目并行并合作开展一个跨学科、跨国综合科学项目，以评估管理和保存数据的做法。该项目将为数据科学家和合成科学家提供一个独特的机会，以实现改善研究成果和数据共享的目标。该项目将与法国、巴西、美国、日本、澳大利亚和英国的团队合作，研究自然保护区对当地社区的社会经济影响。由此产生的工具和指标将能够更好地预测和减轻破坏历史土地利用实践的行动的影响。项目团队将开发数据引用、归因、信用和重用方面的领先实践。以这些新做法为内容，将创建一个工具包和讲习班材料，通过面对面会议和网络研讨会提供内容，并将为研究人员提供一个工具，通过小部件和在线配置文件查看他们的共享数据，数据使用和再利用。该项目的成果将对全球约30万名地球、太空和环境研究人员有用。该奖项反映了NSF的法定使命，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，被认为值得支持。

The capability to bring computer science and technology as well as large and complex data sets to bear on interdisciplinary and transdisciplinary science is emerging. It is therefore critically important to establish and enable transnational frameworks so that data-driven scientific knowledge can transcend disciplines and geographical borders, ultimately increasing the scientific underpinnings of policy and action. International collaboration within global environmental change research fields holds the potential to establish international foundations for federated data integration and analysis systems with shared services, bring together best practices from the public and private sectors, foster open data and open science stewardship among the science communities including related areas such as publishing, and encourage data and cloud providers and others to adopt common standards and practices for the benefit of all.This award supports U.S. researchers participating in a project competitively selected by a coalition of 29 funding agencies from 23 countries through the Belmont Forum Call for proposals on "Science-driven e-Infrastructure Innovation (SEI) for the Enhancement of Transnational, Interdisciplinary and Transdisciplinary Data Use in Environmental Change". SEI is a multilateral initiative designed to support research projects that bring together environmental, social and economic scientists with data scientists, computational scientists, and e-infrastructure and cyber-infrastructure developers and providers to solve one or more of the methodological, technological and/or procedural challenges currently facing inter-disciplinary and transdisciplinary environmental change research that involves working with large, diverse and multi-source transnational data. The SEI call will intimately link research thinking and technological innovation toward accelerating the full-path of discovery-driven data use and open science and enable a broader scientific community to benefit from the identified new and potentially disruptive demonstrators or pilots toward solutions.Scientific advances depend on the availability, accessibility and reusability of data, software, samples, and data products. Yet large amounts of data on the Earth are not well preserved or preserved at all. This project will address these questions by supporting the collaboration of a synthesis science team and data-science team. The teams will conduct a trans-disciplinary, trans-national synthesis science project in parallel and in partnership with a project on the use and re-use of environmental and socioeconomic data to assess practices for managing and preserving data. The project will provide a unique opportunity for data scientists and synthesis scientists to collaborate in real-time toward the goal of improving research outcomes and data sharing. In partnership with teams in France, Brazil, the United States, Japan, Australia, and the United Kingdom, the project will examine the socioeconomic effects of natural protected areas on local communities. The resulting tools and metrics will enable better prediction and mitigation of the effect of actions that disrupt historical land use practices. The project team will develop leading practices on data citation, attribution, credit, and reuse. With these new practices as the content, a toolkit and workshop materials to deliver the content via face-to-face meetings and webinars will be created as will a tool for researchers to view their shared data, data usage and reuse through widgets and on-line profiles. The project results will be useful to circa 300,000 earth, space, and environmental researchers worldwide. It will advance the momentum of cultural change in the use and re-use of big data in research on real-world problems.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.