Home | Connectors | OpenText DAM (OTMM) | OpenText DAM (OTMM) - OpenText Content Metadata Service - Dictionary Integration and Automation
Direction: OpenText Content Metadata Service - Dictionary to OpenText DAM (OTMM)
The Dictionary serves as the master source for approved metadata fields, data types, and controlled vocabularies used in OTMM for product images, videos, and campaign assets. This ensures that marketing, product, and content teams apply the same naming conventions for attributes such as product line, region, usage rights, campaign ID, and asset status.
Business value: Reduces inconsistent tagging, improves search accuracy, and makes asset reporting more reliable across teams and channels.
Direction: OpenText Content Metadata Service - Dictionary to OpenText DAM (OTMM)
When new images or videos are uploaded into OTMM, the asset metadata is validated against the Dictionary before the asset is approved or published. Required fields, accepted values, and format rules can be enforced for use cases such as museum collection records, product photography, or broadcast media.
Business value: Prevents incomplete or noncompliant records from entering the DAM, reducing rework and downstream publishing errors.
Direction: OpenText Content Metadata Service - Dictionary to OpenText DAM (OTMM)
OTMM can consume standardized vocabularies from the Dictionary to ensure that metadata used for syndication to e-commerce sites, distributor portals, broadcast platforms, or campaign activation tools remains consistent. For example, asset usage rights, channel eligibility, and content type values can be governed centrally.
Business value: Improves interoperability with downstream systems and reduces manual mapping effort during distribution.
Direction: OpenText DAM (OTMM) to OpenText Content Metadata Service - Dictionary
As OTMM teams identify new business requirements, such as additional fields for event footage, heritage object classification, or product variant attributes, those metadata needs can be proposed back to the Dictionary for governance and standardization. This creates a controlled process for schema evolution rather than ad hoc field creation.
Business value: Keeps metadata models aligned with real operational needs while preserving enterprise governance.
Direction: Bi-directional
The Dictionary defines shared metadata standards, while OTMM applies them to assets used by marketing, product, museum, and broadcast teams. This enables consistent reporting on asset usage, campaign performance, rights expiration, and content readiness across departments and repositories.
Business value: Supports enterprise-wide analytics and reduces time spent reconciling conflicting metadata definitions.
Direction: OpenText Content Metadata Service - Dictionary to OpenText DAM (OTMM)
The Dictionary can standardize compliance-related fields such as license type, expiration date, geographic restrictions, talent release status, and archival retention category. OTMM then applies these fields to product images, event videos, and broadcast assets to support approval and publishing workflows.
Business value: Lowers legal and compliance risk by ensuring rights data is captured consistently and can be enforced in asset workflows.
Direction: OpenText Content Metadata Service - Dictionary to OpenText DAM (OTMM)
For museums and heritage organizations using OTMM to manage digital photos and videos of physical collections, the Dictionary can define authoritative terms for object type, provenance, era, location, and collection category. This supports consistent cataloging across curatorial, archival, and public access teams.
Business value: Improves discoverability of collection assets and supports long-term preservation and research workflows.
Direction: OpenText Content Metadata Service - Dictionary to OpenText DAM (OTMM)
The Dictionary can provide predefined metadata profiles for specific asset classes such as seasonal marketing campaigns, trade show content, short-form social video, or long-form broadcast masters. OTMM can then present only the relevant fields to users based on asset type, reducing complexity and improving data quality.
Business value: Speeds up asset onboarding, reduces user error, and helps creative and operations teams work with the right metadata from the start.