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

该项目将探索使用可在许多科学界广泛部署的技术来提高大型多学科储存库(Dryad)中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储存库合作进行。与数据集相关的元数据的质量是开放科学成功的基础。具有劣质元数据的数据集不太可能被发现或被有用地描述用于开放科学目的、结果的重现性和产生新的研究结果。用于提高数据集元数据质量的可伸缩方法对于广泛的开放科学目的将是极其有利的。该项目有三个广泛的技术目标，如下所示。首先，项目组将与地球和地球科学中的Dryad分学科社区合作，开发增强的元数据模板，以更好地描述最低要求元数据字段以外的数据集的特征。其次，项目组将评估和增强Dryad的元数据，方法是与Dryad用户组协商制定连接元数据指标和基线，将缺失的资助者元数据整合到记录中，并尝试将增强的元数据模板应用于记录。第三，项目团队将把改进的元数据模板和改进的元数据记录应用于Dryad中的大约40K条记录，以确定与其他存储库和服务提供商(特别是与EarthCube数据设施存储库理事会)的潜在连接，以及与文章和资助者的相互联系，以进一步提高Dryad中的元数据的质量，作为概念的证明。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。

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.