Collaborative Research: The Environmental Data Initiative - long-term availability of research data

该奖项是为了支持威斯康星大学麦迪逊分校和新墨西哥大学的研究人员为环境数据倡议(EDI)开展的合作，EDI是一个为环境研究社区提供综合数据存储库和数据管理支持的组织。EDI促进了由公共资助的研究项目产生的环境数据的出版、使用和再利用。来自不同学科的研究人员利用这一丰富的资源更好地了解复杂环境过程的历史背景和局部变化。EDI不受约束和不偏不倚的数据访问和公共培训机会具有扩大科学参与度的巨大潜力。通过50多万次年度下载和1300多份期刊出版物证明了从电子数据交换获得的数据的使用。作为一家综合性的环境数据管理组织，EDI通过其政策、沟通实践和计划积极支持和促进多样性、公平和包容性(DEI)。所有团队成员都在各自的机构接受了Dei培训。EDI工作人员还积极参与将“集体利益、控制权力、责任和道德”(CARE)问题转化为存储库最佳实践建议。EDI数据存储库和管理服务在为数据发布者减轻数据文档和格式化工作的负担，并为数据用户提供高度可查找、可访问、可互操作和可重复使用(公平)的数据的交叉点进行了优化。EDI通过简单的元数据创作工具尽可能地自动化这一过程、清晰的在线指导文档和工作人员馆长来解决这两个数据发布轴之间的紧张关系。存储库基础设施使用面向服务的体系结构(Service Oriented Architecture，SOA)设计模式，其中外部软件客户端可以通过REST Web服务应用程序可编程接口(API)上传、搜索和访问数据。这种架构和EDI的数据门户为用户提供了手动或编程访问数据的能力，从而适应了高级数据科学工作流程。模块化软件设计还允许最佳维护和升级，同时提供卓越的服务可用性。该奖项的支持将使EDI能够专注于核心活动，包括：(1)拓展(2)数据管理培训，(3)提供管理工具和服务，(4)改进数据发现和可重用性，同时(5)维护软件和硬件，以确保EDI数据库的最佳运行。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

An award is made to provide support to a collaboration between researchers at the University of Wisconsin, Madison and the University of New Mexico for the Environmental Data Initiative (EDI), a comprehensive data repository and data management support organization for the environmental research community. EDI facilitates the publication, use and re-use of environmental data generated by publicly funded research projects. Researchers from a wide range of disciplines use this rich resource to better understand historic contexts and local variations of complex environmental processes. EDI’s unfettered and unbiased data access and public training opportunities have a high potential to broaden participation in science. Use of data obtained from EDI is demonstrated by over half a million annual downloads and over 1300 journal publications. As a comprehensive environmental data curation organization, EDI actively supports and promotes Diversity, Equity and Inclusion (DEI) through its policies, communication practices, and programs. All team members are DEI trained at their respective institutions. EDI staff are also actively involved in translating ‘Collective Benefit, Authority to Control, Responsibility, and Ethics’ (CARE) concerns into repository best practice recommendations. The EDI data repository and curation services are optimized at the intersection of reducing the burden of data documentation and formatting efforts for the data publisher and providing the data user with highly Findable, Accessible, Interoperable, and Reusable (FAIR) data. EDI approaches the tension between these two axes of data publication with simple metadata authoring tools that automate the process as much as possible, clear online guidance documentation, and staff curators. The repository infrastructure uses a Service Oriented Architecture (SOA) design pattern where external software clients may upload, search, and access data through a REST web-service Application Programmable Interface (API). This architecture and EDI’s data portal provide the ability for users to access the data manually or programmatically, thus accommodating advanced data science workflows. The modular software design also allows for optimal maintenance and upgrade while providing exceptional availability of service. Support from this award will enable EDI to focus on core activities, including: (1) outreach (2) data curation training, (3) providing curation tools and services, (4) improving data discovery and reusability, while (5) maintaining software and hardware to ensure optimal functioning of the EDI data repository.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.