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

该项目将探索利用可广泛应用于许多科学界的技术，提高大型多学科数据库（Dryad）数据发布质量的方法。该项目将由一家元数据咨询公司与斯坦福大学和Dryad存储库合作进行。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效地描述为结果可重复性和产生新研究成果的开放科学目的。提高数据集元数据质量的可扩展方法将对广泛的开放科学目的极为有利。该项目有三个广泛的技术目标，如下所示。首先，项目团队将与地球和地球科学领域的Dryad子学科社区合作，开发增强的元数据模板，以更好地表征除最低要求的元数据字段之外的数据集。其次，项目组将通过与Dryad用户组协商制定连接性元数据指标和基线，将缺失的资助者元数据集成到记录中，并尝试将增强的元数据模板应用于记录，从而评估和增强Dryad中的元数据。第三，项目团队将把增强的元数据模板和生成的增强元数据记录应用于Dryad中大约40K条记录，以确定与其他存储库和服务提供商（特别是与EarthCube数据设施理事会存储库）的潜在联系，以及与文章和资助者的相互联系，以进一步提高Dryad中元数据的质量，作为概念验证。该奖项反映了美国国家科学基金会的法定使命，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估，被认为值得支持。

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.