标题： SMECS：一种软件元数据提取和整理软件 显示英文标题

标题： SMECS: A Software Metadata Extraction and Curation Software

摘要： 元数据在采用研究软件的FAIR原则中起着至关重要的作用，它促进了可查找性和可重用性。 然而，创建高质量的元数据对于研究人员和研究软件工程师来说可能是资源密集型的任务。 为了解决这一挑战，我们开发了软件元数据提取和整理软件（SMECS），该软件结合了从现有来源提取元数据以及一个用户友好的元数据整理界面。 SMECS从在线存储库如GitHub提取元数据，并通过交互式界面将其呈现给研究人员，以便进一步整理并导出为CodeMeta文件。 通过可用性实验评估了SMECS的可用性，结果证实SMECS提供了令人满意的用户体验。 SMECS通过简化元数据创建来支持研究软件的FAIR化。 显示英文摘要

摘要： Metadata play a crucial role in adopting the FAIR principles for research software and enables findability and reusability. However, creating high-quality metadata can be resource-intensive for researchers and research software engineers. To address this challenge, we developed the Software Metadata Extraction and Curation Software (SMECS) which integrates the extraction of metadata from existing sources together with a user-friendly interface for metadata curation. SMECS extracts metadata from online repositories such as GitHub and presents it to researchers through an interactive interface for further curation and export as a CodeMeta file. The usability of SMECS was evaluated through usability experiments which confirmed that SMECS provides a satisfactory user experience. SMECS supports the FAIRification of research software by simplifying metadata creation.