Metadata for digital assets encompasses additional information and descriptive elements that accompany and contextualize the assets. It acts as a dataset describing various characteristics such as title, author, creation date, file format, size, keywords, and more. Metadata enhances the organization, discoverability, and overall management of digital assets, enabling efficient search, filtering, and categorization.
Metadata is essential for enabling efficient search and filtering across large asset libraries. Without it, users must rely on filenames or manual browsing, which is time-consuming. Metadata enriches assets by offering valuable context that supports accurate discovery, reporting, and better understanding of when and how to use the content.
Metadata answers the “what, where, when, how, and who” about a digital asset. It is foundational for structure, governance, and usability.
Metadata can be broadly categorized into:
Custom metadata is defined using metafields. Each metafield captures specific information using one of the following field types:
Metadata Profiles define what metadata and components are visible on an asset. They include:
Every asset must have a metadata profile (unless no profiles exist). This ensures consistent metadata structure across different types of content. Metadata Profiles can also define which fields are mandatory.
Beyond metafields, several system-based attributes also contribute to an asset’s metadata:
Start with the basics—reuse metafields when possible to avoid inconsistencies. Define controlled field types (like dropdowns) to ensure consistency. Keep metadata lean and purposeful.
Most files contain embedded metadata in EXIF, IPTC, or XMP formats. The platform can extract this information upon upload, providing technical data like camera model, exposure settings, geographical location, and file creation details. This helps auto-populate some standard metadata fields.
While metadata itself does not track user behavior, it plays a crucial role in: