Beyond Data Discovery: Shared Services for Community Metadata Improvement

科学数据和结果必须有很好的文件记录，以便可复制和可重复使用。 元数据-辅助上下文信息，如科学目标，数据出处，在每一步的不确定性估计-是研究文档，重用和协作过程的基本组成部分。该项目开发了灵活的工具，用于评估元数据，使用一致的测量系统，鼓励社区参与，集成改进指导，是跨社区元数据改进工作的关键要素。 跨社区提供这些新的元数据和数据评估服务将提高整合和重新使用可靠数据的能力，以供跨科学界进行跨领域综合和分析。 将重点放在使用元数据而不是发现元数据上是重点的重大转变。 使用元数据是实现有效科学分析工作流所需的基本构建块。 该团队与为该项目提供指导的几个跨学科合作伙伴组织建立了重要的合作关系。

Science data and results must be well documented in order to be reproducible and re-usable. Metadata -- ancillary contextual information such as science objectives, data provenance, and uncertainty estimates at each step -- is a fundamental part of the research documentation, reuse, and collaboration process.This project develops flexible tools for evaluating metadata, using consistent measurement systems that encourage community engagement, integrate guidance for improvement, and are a critical element in cross-community metadata improvement efforts. Provision of these new metadata and data evaluation services across communities will improve the ability to integrate and reuse trustworthy data for crosscutting synthesis and analysis across science communities. The focus on use metadata rather than discovery metadata is a significant shift in focus. Use metadata is a fundamental building block needed to allow effective scientific analysis workflows. The team builds a significant collaboration with several interdisciplinary partner organizations that provide guidance to this project.