EAGER: Dryad BRIDGE: Building Repository Interconnections with Dryad Guidance and Extensions

EAGER：Dryad BRIDGE：使用 Dryad 指导和扩展构建存储库互连

• 批准号: 2134956
• 负责人: Ray Habermann
• 金额: $ 29.99万
• 依托单位: METADATA GAME CHANGERS LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-15 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2134956&HistoricalAwards=false
• 关键词: EAGER; Dryad; BRIDGE; Building; Repository

This project will explore methods to increase the quality of data publication in a large multidisciplinary repository (Dryad) using techniques that can be broadly deployed in many scientific communities. The project will be undertaken by a metadata consulting firm in collaboration with Stanford University, and the Dryad repository. The quality of metadata associated with datasets is fundamental to the success of open science. Datasets with poor quality metadata are far less likely to be discovered or usefully described for open science purposes of reproducibility of results and generation of new research findings. Scalable methods for improving the quality of metadata for datasets will be extremely advantageous for open science purposes broadly. The project has three broad technical goals, as follows. First, the project team will work with Dryad sub-disciplinary communities in Earth and Earth Sciences to develop enhanced metadata templates that better characterize datasets beyond the minimally required metadata fields. Second, the project team will assess and enhance metadata in Dryad by developing connectivity metadata metrics and baselines in consultation with Dryad user groups, integrating missing funder metadata into records, and attempting to apply the enhanced metadata templates to records. Third, the project team will apply both the enhanced metadata templates and enhanced metadata records produced to approximately 40K records in Dryad to identify potential connections to other repositories and service providers (especially with the EarthCube Council of Data Facilities repositories) and interlinkages with articles and funders to further enhance the quality of the metadata in Dryad as a proof of concept.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.

该项目将探讨如何利用可广泛应用于许多科学界的技术，提高大型多学科储存库（Dryad）数据公布的质量。 该项目将由一家元数据咨询公司与斯坦福大学和Dryad储存库合作开展。 与数据集相关的元数据的质量是开放科学成功的基础。 具有低质量元数据的数据集不太可能被发现或有用地描述用于结果的可重复性和新研究结果的生成的开放科学目的。 用于提高数据集元数据质量的可扩展方法对于广泛的开放科学目的将是非常有利的。 该项目有以下三个广泛的技术目标。 首先，项目小组将与地球和地球科学领域的Dryad亚学科社区合作，开发增强的元数据模板，以更好地描述数据集的特征，而不仅仅是最低限度的元数据字段。 第二，项目小组将评估和加强Dryad中的元数据，与Dryad用户团体协商制定连通性元数据指标和基线，将缺失的资助者元数据纳入记录，并尝试将增强的元数据模板应用于记录。 第三、项目团队将把增强的元数据模板和增强的元数据记录应用于Dryad中的大约4万条记录，以确定与其他存储库和服务提供商的潜在连接（特别是与数据设施储存库的EarthCube理事会）以及与文章和资助者的相互联系，以进一步提高作为概念证明的Dryad元数据的质量。该奖项反映了NSF的法定基金会的使命是履行其使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评价，被认为值得支持。