How can proper metadata of assets be controlled based on asset type?

Creating a schema for metadata by MIME type is an effective way to control the metadata of assets based on their type. This approach ensures that every asset type, such as images, videos, or documents, can have a tailored set of metadata fields that are relevant to its specific characteristics and usage.

By associating metadata schemas with MIME types, you can define distinct attributes or fields that are necessary to describe and manage those particular asset types. For example, an image might require metadata fields for dimensions, resolution, and camera settings, while a video asset might need fields for duration, aspect ratio, and codec information. This targeted schema approach enhances clarity and improves metadata accuracy, making it easier for users to manage and retrieve assets based on their specific needs.

In contrast, while creating a schema by file location or assigning default metadata templates could provide structure, they do not necessarily address the unique requirements of varying asset types effectively. A manual metadata entry process would also be less efficient and prone to inconsistencies compared to the automated and structured approach that employing MIME types offers.