Collaborative Research: Environmental Data Initiative: Sustaining the Legacy of Scientific Data

环境数据倡议(EDI)促进了由公共资助的研究项目产生的环境数据的发布。EDI的使命是确保公共资助的科学数据的长期可行性和遗产，致力于使环境数据可查找、可访问、可互操作和可重复使用(公平)。EDI提供支持、培训和资源，以帮助归档和发布高质量的数据和元数据，向数据提供商提供责任和透明度，同时通过大数据分析打开回答新问题的大门。电子数据交换积极参与国家和国际数据管理人员的工作，以促进数据管理最佳做法和管理。提供服务的项目包括但不限于长期环境生物学研究(LTREB)、生物野外站组织(OBF)、大系统生物学(MSB)和国家科学基金会环境生物学分部内的长期生态研究(LTER)。EDI是新墨西哥大学和威斯康星大学麦迪逊分校的数据从业者、软件开发人员和研究科学家之间的合作努力，为生态学研究人员提供全面的数据存档和出版服务。为了实现电子数据交换的总体使命，该项目侧重于(1)为环境科学界的需要量身定做的管理和培训服务，以及(2)支持和维护最先进的数据储存库。电子数据交换服务包括由在环境和生态数据科学方面有经验的从业人员直接管理数据文件，在数据管理做法和数据存档工作流程方面的社区培训，以便向储存库提供数据，以及为创建科学元数据开发软件。团队成员在数据科学最佳实践和软件框架(包括RStudio和Jupyter笔记本电脑)方面经验丰富，是经过认证的数据和软件木工教师。EDI数据存储库背后的PAPA+软件基于面向服务的体系结构(Service Oriented Architecture，SOA)。EDI数据储存库的设计是简单、耐用、可扩展的，并符合公平指导原则。EDI创建了一个功能丰富、面向公众的数据门户，为存储库提供了用户友好的Web浏览器界面，允许用户评估和上传数据，以及发现和查看数据及相关元数据。数据门户还作为一个完整的Java参考实现，用于指导其他软件开发人员使用使开发人员能够直接与最低级别的存储库进行交互的Pasta+应用程序编程接口。这些技术和服务旨在促进科学数据的持久性和使用，并确保所有环境科学家都能获得高质量的数据管理和出版服务。电子数据交换储存库可以在https://environmentaldatainitiative.org/.This找到，该奖项反映了国家科学基金会的法定使命，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。

The Environmental Data Initiative (EDI) facilitates the publication of environmental data generated by publicly funded research projects. With a mission to ensure the long-term viability and legacy of publicly funded scientific data, EDI is committed to making environmental data Findable, Accessible, Interoperable, and Reusable (FAIR). EDI provides support, training, and resources to help archive and publish high-quality data and metadata, providing accountability and transparency to data providers, while opening the door to answering new questions through Big Data analyses. EDI is actively engaged in the national and international community of data curators to promote data management best practices and stewardship. Programs served include, but are not limited to, Long Term Research in Environmental Biology (LTREB), Organization for Biological Field Stations (OBFS), MacroSystems Biology (MSB), and Long Term Ecological Research (LTER) within the NSF Division of Environmental Biology.EDI is a collaborative effort among data practitioners, software developers, and research scientists at the University of New Mexico and the University of Wisconsin-Madison to provide a comprehensive data archive and publication service for ecological researchers. To achieve the overall mission of EDI, the project focuses on (1) curation and training services tailored to the needs of the environmental sciences community and (2) the support and maintenance of a state-of-the-art data repository. EDI services include direct management of data documentation by practitioners experienced in environmental and ecological data science, community training in data management practices and data archive workflows for contributing data to the repository, and software development for the creation of scientific metadata. Team members are experienced in data science best practices and software frameworks, including RStudio and Jupyter Notebooks, and are certified data and software Carpentry instructors. The PASTA+ software behind the EDI data repository is based on a Service Oriented Architecture (SOA). The EDI data repository is designed to be simple, durable, extensible, and congruent with the FAIR guiding principles. EDI has created a feature-rich, public-facing Data Portal that provides a user-friendly web-browser interface to the repository, allowing users to evaluate and upload data, and discover and view data and associated metadata. The Data Portal also serves as a complete reference implementation in Java for guiding other software developers on the use of the PASTA+ application programming interface which enables developers to interact directly with the repository at its lowest level. These technologies and services are designed to promote the persistence and use of scientific data and to ensure that all environmental scientists have access to high-quality data curation and publication services. The EDI repository may be found at https://environmentaldatainitiative.org/.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.