DataONE (Data Observation Network for Earth)

DataOne将创建新的网络基础设施(CI)，以解决阻碍实现更全球化、开放和可重复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活动来实现这一点。首先，我们将通过DataONE存储库联合会(即成员节点)大幅扩大研究人员可用数据的数量和多样性，用于大规模科学创新和发现。DataOne将创建轻量级且易于部署的“细长节点”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(如DSpace和其他)开发DataONE兼容性。其次，我们将在DataONE CI中融入创新和高价值的功能。这些新功能包括：1)测量搜索，以利用语义技术，实现高精度的数据发现和研究人员所需数据的召回；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具重现性的科学，这些信息可用于复制科学数据处理和分析步骤，并通过检查记录的工作流程发现特定数据源；以及3)数据提取、子集和处理服务，使任何位置的研究人员都能够更容易地参与大数据？倡议(例如，使用大型环境观测站的数据并参与大范围的综合和建模工作)。这三套新功能将极大地改进数据发现；进一步支持可重复和开放的科学；并使来自任何机构的科学家能够独立于网络能力，提取保存在DataONE附属存储库中的大型数据集的子集，以进行处理和解释。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Investigator工具包的关键组件)，以便用户体验不断改善，可以随着时间的推移轻松添加新服务，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，在维护网络安全和信任的同时，增加成员节点数量(联合会规模)。这两项活动都满足了对DataONE网络连续性和可靠性的需求，这对维持社区信任和使研究人员能够实现他们的科学目标至关重要。由来自计算机和信息科学、领域科学和网络学习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外联。CI工作组将协调核心CI研究和开发，包括增加新的服务，如来源跟踪和支持语义的测量搜索。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，并确保教育活动和材料产生最佳影响。可持续发展与治理工作组将授权社区推动组织-S治理结构和可持续发展战略，确保DataOne能够持续提供服务并不断发展，以满足研究人员、图书馆、赞助商和其他利益相关者在未来几十年的需求。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)通过积极参与数据仓库和广大科学家社区，建立利益攸关方社区；2)通过有效的教育、推广和培训活动和经验，教育科学家关于良好的数据生命周期做法。社区参与两周一次的成员节点论坛和DataONE用户组年度会议将支持扩大向研究界提供的数据内容和服务，以及研究界所需要的数据内容和服务。新的DataONE网络研讨会系列和教育资源(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提供的各种服务和工具。DataONE暑期实习计划将积极让学生参与CI开发和相关的DataONE活动，如创建和提供基于网络的教育资源。

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.