DataONE (Data Observation Network for Earth)

DataONE（地球数据观测网络）

• 批准号: 1430508
• 负责人: William Michener
• 金额: $ 1500万
• 依托单位: University of New Mexico
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2020-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1430508&HistoricalAwards=false
• 关键词: DataONE; Data; Observation; Network; Earth

DataONE will create new cyberinfrastructure (CI) that will resolve many of the key challenges that hinder the realization of more global, open, and reproducible science. We will do so through four interrelated CI activities that are supported by the DataONE team of developers and the CI Working Group. First, we will significantly expand the volume and diversity of data available to researchers through the DataONE Federation of repositories (i.e., Member Nodes) for large-scale scientific innovation and discovery. DataONE will create lightweight and easily deployed "Slender Node" software and develop DataONE compatibility for common repository software systems (e.g. DSpace and others) that are already deployed in hundreds of high-value repositories worldwide. Second, we will incorporate innovative and high-value features into the DataONE CI. These new features include: 1) measurement search to leverage semantic technologies and enable highly precise data discovery and recall of data needed by researchers; 2) tracking the data through creation, all transformations, and analyses (provenance) to enable more reproducible science by storing and indexing provenance trace information that can be used to both reproduce scientific data processing and analysis steps and to discover specific data sources by examining the documented workflows; and 3) data extraction, sub-setting and processing services to enable researchers at any location to more easily participate in ?big data? initiatives (e.g. working with data from large environmental observatories and participating in broad-scale synthesis and modeling endeavors). These three new sets of features will dramatically improve data discovery; further support reproducible and open science; and enable scientists from any institution, independent of networking capacity, to extract subsets of large data sets held in DataONE-affiliated repositories for processing and interpretation. Third, we will maintain and improve core CI software and services (e.g., Coordinating and Member Node software stacks and key components of the Investigator Toolkit) so that the user experience continues to improve, new services can be easily added over time, and the CI can be readily upgraded as operating system and other supporting software systems continue to evolve. Fourth, we will increase the number of Member Nodes (size of the Federation) while maintaining cybersecurity and trust. Both of these activities respond to the need for DataONE network continuity and reliability that are critical to maintaining community trust and enabling researchers to achieve their science objectives. Four working groups that are each comprised of a small number of experts from computer and information sciences, domain sciences, and cyber-enabled learning will guide and contribute to DataONE CI development and usability, sustainability, and education and outreach. The CI Working Group will coordinate core CI research and development, including the addition of new services such as provenance tracking and semantically enabled measurement search. The Usability and Assessment Working Group will help DataONE understand community needs and expectations, and constantly improve the CI via feedback from usability analysis. The Community Engagement and Outreach Working Group will ensure that community needs are met and that education activities and materials achieve optimal impact. The Sustainability and Governance Working Group will empower the community to drive the organization?s governance structure and sustainability strategies, ensuring that DataONE can sustain services and evolve to meet the needs of researchers, libraries, sponsors, and other stakeholders for decades to come.In addition to developing robust and powerful infrastructure, DataONE aims to change the scientific culture by promoting good data stewardship practices. Our specific goals are to: 1) build a community of stakeholders through active engagement with data repositories and the broad community of scientists; and 2) educate scientists about good data life cycle practices through effective education, outreach and training activities and experiences. Community engagement in the biweekly Member Node Forum and the annual meeting of the DataONE Users Group will support expansion of the data content and services provided to and needed by the research community. A new DataONE webinar series and education resources (e.g., best practices and software tools, learning modules) will enable researchers to better steward their data and take advantage of the myriad services and tools available through DataONE. The DataONE Summer Internship Program will actively involve students in CI development and related DataONE activities such as creating and providing web-based educational resources.

DataONE将创建新的网络基础设施（CI），解决阻碍实现更加全球化、开放和可复制的科学的许多关键挑战。我们将通过DataONE开发团队和CI工作组支持的四个相互关联的CI活动来实现这一目标。首先，我们将通过DataONE储存库联盟（即成员节点）显著扩大研究人员可获得的数据的数量和多样性，以用于大规模的科学创新和发现。DataONE将创建轻量级且易于部署的“Slender Node”软件，并为已经部署在全球数百个高价值存储库中的通用存储库软件系统（例如DSpace和其他）开发DataONE兼容性。第二，我们将把创新和高价值的特性纳入DataONE CI。这些新功能包括：1)测量搜索，利用语义技术，实现研究人员所需的高精度数据发现和召回；2)通过创建、所有转换和分析（来源）跟踪数据，通过存储和索引来源跟踪信息来实现更可复制的科学，这些信息可用于再现科学数据处理和分析步骤，并通过检查文档化的工作流程来发现特定的数据源；3)数据提取、子集设置和处理服务，使任何地点的研究人员都能更容易地参与？大数据?倡议（例如，处理来自大型环境观测站的数据，并参与大规模的综合和建模工作）。这三组新功能将极大地改善数据发现；进一步支持可复制和开放的科学；使来自任何机构的科学家，不受网络能力的影响，能够从dataone附属存储库中提取大型数据集的子集，用于处理和解释。第三，我们将维护和改进核心CI软件和服务（例如，协调和成员节点软件堆栈以及调查员工具包的关键组件），以便不断改进用户体验，随着时间的推移可以轻松添加新服务，并且CI可以随着操作系统和其他支持软件系统的不断发展而随时升级。第四，我们将在保持网络安全和信任的同时增加成员节点的数量（Federation的规模）。这两项活动都响应了对DataONE网络连续性和可靠性的需求，这对于维持社区信任和使研究人员能够实现其科学目标至关重要。由计算机和信息科学、领域科学和网络学习方面的少数专家组成的四个工作组将指导和促进DataONE CI的开发和可用性、可持续性以及教育和推广。CI工作组将协调核心CI研究和开发，包括添加新的服务，如来源跟踪和语义支持的度量搜索。可用性和评估工作组将帮助DataONE了解社区的需求和期望，并通过可用性分析的反馈不断改进CI。社区参与和外联工作组将确保满足社区需求，确保教育活动和材料产生最佳影响。可持续发展和管治工作组将授权社区推动组织？确保DataONE能够在未来几十年维持服务并不断发展，以满足研究人员、图书馆、赞助商和其他利益相关者的需求。除了开发强大的基础设施外，DataONE还旨在通过促进良好的数据管理实践来改变科学文化。我们的具体目标是：1)通过与数据存储库和广泛的科学家社区的积极参与，建立一个利益相关者社区；2)通过有效的教育、推广和培训活动和经验，让科学家了解良好的数据生命周期实践。社区参与双周成员节点论坛和DataONE用户组年度会议将支持扩大向研究界提供和需要的数据内容和服务。一个新的DataONE网络研讨会系列和教育资源（例如，最佳实践和软件工具，学习模块）将使研究人员能够更好地管理他们的数据，并利用DataONE提供的无数服务和工具。DataONE暑期实习项目将积极让学生参与CI开发和DataONE相关活动，如创建和提供基于网络的教育资源。