When modeling data in a JCR, what should the model make use of?

When modeling data in a JCR (Java Content Repository), utilizing human-readable nodes is critical for creating a clear and understandable data structure. Human-readable nodes help ensure that the content can be easily interpreted by users and developers alike, facilitating better collaboration and management of the repository. This approach allows for intuitive navigation and comprehension of the stored data, making it easier to work with and maintain.

Employing human-readable identifiers also aids in debugging and analysis, as these nodes convey meaning about the content they represent, enhancing the overall usability of the system. In contrast, options like IDs can be cryptic and may not provide immediate contextual understanding, while references and same-name siblings could complicate the structure, leading to potential issues in data access and manipulation. Therefore, the focus on human-readable nodes in JCR modeling supports better practices for clarity and user experience.