Applying Interoperable Metadata Standards (AIMS) - A Platform for Creating and Sharing Metadata Standards and their Integration into Scientific Workflows in Mechanical Engineering and Related Disciplines

应用可互操作元数据标准 (AIMS) - 用于创建和共享元数据标准并将其集成到机械工程及相关学科的科学工作流程中的平台

• 批准号: 432233186
• 负责人: Professor Dr. Matthias S. Müller
• 金额: --
• 依托单位: IT Center
• 依托单位国家: 德国
• 项目类别: Research data and software (Scientific Library Services and Information Systems)
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/432233186?language=en
• 关键词: Applying; Interoperable; Metadata; Standards; AIMS

Management of research data requires precise documentation of their content and creation via metadata. In order to enable the highest possible degree of interpretability and (re-)usability as demanded by the FAIR principles, metadata must be readable by machines as well as by humans. Standards defining the format as well as the required and permitted content are a necessary prerequisite for this. At present, however, suitable metadata standards are only available for a very limited number of scientific disciplines and types of research data, which constitutes a major obstacle to efficient research data management.Since establishing metadata standards is a complex and collaborative process, it should be supported by an infrastructure enabling the efficient creation, sharing and reuse of metadata standards. To this end, we intend to create a tool for the easy generation and adaptation of metadata standards linked to a platform collecting and indexing the created standards to make them accessible to the scientific community. The metadata standards will be assembled from controlled vocabularies and comply with application profiles as current state-of-the-art for interoperable metadata.In addition, it is necessary to ensure that the creation of metadata compliant to the defined standards does not disrupt research. Another essential part of the project will therefore be to establish workflows in which the metadata are generated with minimum extra effort and beneficial synergy effects like use in electronic lab notes or as index for data archives and backup strategies are exploited.In order to keep the scope of the project manageable and to capitalize on RWTH Aachen University’s and TU Darmstadt’s expertise in that subject area, the focus will be on mechanical engineering as a prime candidate for a discipline that could greatly benefit from suitable metadata standards and strategies for efficient documentation of research data with metadata.

研究数据的管理需要精确记录其内容并通过元数据创建。为了实现FAIR原则所要求的最高程度的可解释性和（再）可用性，元数据必须是机器可读的，也必须是人类可读的。定义格式以及所需和允许的内容的标准是必要的先决条件。然而，目前只有非常有限的科学学科和研究数据类型可以使用合适的元数据标准，这对有效的研究数据管理构成了主要障碍，因为建立元数据标准是一个复杂的协作过程，它应该得到一个基础设施的支持，以便有效地创建、共享和重用元数据标准。为此，我们打算创建一个工具，用于轻松生成和调整元数据标准，并将其与一个收集和索引所创建标准的平台相关联，以便科学界能够使用这些标准。元数据标准将从受控制的词汇汇编而成，并符合作为可互操作元数据的最新技术水平的应用概况，此外，必须确保创建符合所界定标准的元数据不会干扰研究工作。因此，该项目的另一个重要组成部分是建立工作流程，其中元数据的生成需要最少的额外工作，并具有有益的协同效应，例如用于电子实验室笔记或作为数据存档和备份策略的索引。为了保持项目的范围可管理，并利用亚琛工业大学和达姆施塔特工业大学在该主题领域的专业知识，重点将放在机械工程作为一个学科，可以大大受益于适当的元数据标准和战略，有效地记录研究数据与元数据的主要候选人。