DataNet Full Proposal: DataNetONE (Observation Network for Earth)

新墨西哥大学（UNM）将开发和部署DataNetONE（地球观测网络），这是一个可持续的长期数据保存和接入网络，具有相关的搜索和发现、数据集成、用户服务和分析工具。DataNetONE（地球观测网络）项目的目标是使科学家、决策者和公民能够了解地球变化的性质和速度，并解决相关的环境、社会和技术挑战。最初的重点将放在生物和环境科学家、国家和国际研究网络以及环境观测站收集的多学科观测数据上。DataNetONE将扩展到更广泛的科学领域，无论是直接还是通过与其他DataNet部署的互操作性。该项目由新墨西哥大学的威廉·米切纳博士指导。DataNetONE旨在通过提供开放、持久、稳健和安全的访问良好描述和易于发现的地球观测数据，实现多样化和复杂的多尺度、多学科和多国科学数据的长期保存。预期用户包括科学家、教育工作者、图书管理员、资源管理员和公众。长期保存和综合获取多样化和复杂的多尺度、多学科、多国科学数据的潜在影响是研究人员能够组装和分析数据集的速度以及他们能够解决的问题类型的变革性的。DataNetONE将极大地促进科学研究，包括了解人口密度、大气氮和二氧化碳、能源消耗和全球温度之间的关系；了解和预测禽流感等疾病的出现和传播；局部或区域变化可能对地球系统相互作用、反馈或遥相关产生强烈影响的关键区域；“大都市化”对生态系统的影响；以及人类和自然系统之间的相互关系。

The University of New Mexico (UNM) will develop and deploy DataNetONE (Observation Network for Earth), a sustainable long-term data preservation and access network, with related search and discovery, data integration, and user services and analytic tools. The goal of the DataNetONE (Observation Network for Earth) project is to enable scientists, decision-makers, and citizens to understand the nature and pace of change on Earth and to address associated environmental, social, and technological challenges. The initial focus will be on multi-disciplinary observational data collected by biological and environmental scientists, national and international research networks, and environmental observatories. DataNetONE will be extended to serve a broader range of science domains both directly and through interoperability with other DataNet deployments. The project is under the direction of Dr. William Michener at the UNM. DataNetONE is designed to enable the long-term preservation of diverse and complex multi-scale, multi-discipline, and multi-national science data by providing open, persistent, robust, and secure access to well-described and easily discovered Earth observational data. Expected users include scientists, educators, librarians, resource managers, and the public. The potential impact of long-term preservation and integrated access to diverse and complex multi-scale, multi-discipline, multinational science data is transformative in the speed with which researchers will be able to assemble and analyze data sets and in the types of problems they will be able to address. Scientific investigations that will be greatly facilitated by DataNetONE include understanding the relationships among human population density, atmospheric nitrogen and carbon dioxide, energy consumption and global temperatures; understanding and predicting the emergence and spread of diseases like avian flu; critical areas where local or regional changes may have strong effects on earth system interactions, feedbacks, or teleconnections; the impact of "megapolitan-ization" on ecological systems; and the interrelationships among coupled human and natural systems.