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

合作研究：环境数据倡议：维持科学数据的遗产

• 批准号: 1931174
• 负责人: Paul Hanson
• 金额: $ 198.63万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1931174&HistoricalAwards=false
• 关键词: Collaborative; Research; Environmental; Data; Initiative

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.

环境数据计划（EDI）促进了公共资助的研究项目生成的环境数据的发布。为了确保公共资助的科学数据的长期生存能力和遗产，EDI致力于使环境数据可找到，易于访问，可互操作和可重复使用（公平）。 EDI提供支持，培训和资源，以帮助存档和发布高质量的数据和元数据，从而为数据提供商提供问责制和透明度，同时通过大数据分析为回答新问题打开了大门。 EDI积极参与国家和国际数据策展人社区，以促进数据管理最佳实践和管理。所服务的计划包括但不限于环境生物学（LTREB），生物野外站点组织（OBFS），宏观系统生物学（MSB）和长期生态研究（MSB）和NSF环境生物学部内的长期生态研究（LTER）。生态学研究人员的全面数据存档和出版服务。为了实现EDI的整体任务，该项目着重于（1）根据环境科学社区需求量身定制的策展和培训服务，以及（2）支持和维护最先进的数据存储库。 EDI服务包括在环境和生态数据科学领域经验丰富的从业人员的直接管理数据文档，数据管理实践的社区培训以及数据存档工作流程，以贡献数据为存储库，以及为创建科学元数据的软件开发。团队成员在数据科学的最佳实践和软件框架方面经验丰富，包括Rstudio和Jupyter笔记本电脑，并且是经过认证的数据和软件木工讲师。 EDI数据存储库背后的面食+软件基于面向服务的体系结构（SOA）。 EDI数据存储库设计为简单，耐用，可扩展，并与公平的指导原则一致。 EDI创建了一个功能丰富，面向公共的数据门户网站，该门户网站为存储库提供用户友好的Web浏览器接口，允许用户评估和上传数据，并发现和查看数据以及关联的元数据。数据门户还用作Java中的完整参考实现，用于指导其他软件开发人员使用面食+应用程序编程接口，该界面使开发人员能够在其最低级别上直接与存储库进行交互。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可以使用高质量的数据策展和出版服务。 EDI存储库可以在https://environmentaldaldatainitiative.org/.this Award上找到反映NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，认为值得通过评估值得支持。

项目成果

Publishing Ecological Data in a Repository: An Easy Workflow for Everyone

在存储库中发布生态数据：适合每个人的简单工作流程

• DOI: 10.1002/bes2.2018
• 发表时间: 2022
• 期刊: The Bulletin of the Ecological Society of America
• 作者: Vanderbilt, Kristin;Ide, Jon;Gries, Corinna;Grossman‐Clarke, Susanne;Hanson, Paul;O'Brien, Margaret;Servilla, Mark;Smith, Colin;Waide, Robert;Zollo‐Venecek, Kyle
• 通讯作者: Zollo‐Venecek, Kyle