An approach to assess the quality of Jupyter projects published by GLAM institutions
本文提出了一套评估GLAM机构发布的Jupyter Notebook项目质量的方法，分析了现有项目并总结了最佳实践，对希望创建类似项目的机构有参考价值。
Abstract GLAM organizations have been digitizing their collections and making them available for the public for several decades. Recent methods for publishing digital collections such as “GLAM Labs” and “Collections as Data” provide guidelines for the application of computational methods to reuse the contents of cultural heritage institutions in innovative and creative ways. Jupyter Notebooks have become a powerful tool to foster use of these collections by digital humanities researchers. Based on previous approaches for quality assessment, which have been adapted for cultural heritage collections, this paper proposes a methodology for assessing the quality of projects based on Jupyter Notebooks published by relevant GLAM institutions. A list of projects based on Jupyter Notebooks using cultural heritage data has been evaluated. Common features and best practices have been identified. A detailed analysis, that can be useful for organizations interested in creating their own Jupyter Notebooks projects, has been provided. Open issues requiring further work and additional avenues for exploration are outlined.