Home | Connectors | Airtable | Airtable - OpenText Core Content - Metadata Integration and Automation
Marketing, creative, and operations teams can use Airtable to collect new content requests, campaign details, asset descriptions, and ownership information in a simple collaborative workspace. Once a request is approved, the integration pushes the required fields into OpenText Core Content - Metadata to create or update governed metadata records with controlled vocabularies and validation rules. This reduces manual rekeying, improves metadata consistency, and gives non-technical teams an easier way to prepare content for enterprise repositories.
Airtable can serve as a staging area where teams enter draft metadata for documents, images, videos, or product content. The integration sends that data to OpenText Core Content - Metadata for validation against required fields, taxonomy rules, and controlled terms. If records fail validation, exceptions can be routed back to Airtable for correction. This helps content teams catch errors early, improves searchability, and ensures only compliant metadata is applied to managed content.
Marketing teams often manage campaign calendars, asset status, and approvals in Airtable, while OpenText Core Content - Metadata governs the official metadata attached to final assets. A bi-directional integration can sync campaign identifiers, audience segments, product names, and regional tags between the two systems. Airtable provides visibility into campaign progress, while OpenText ensures the final asset metadata remains standardized for reuse, reporting, and downstream publishing.
Product marketing and merchandising teams can maintain product launch trackers in Airtable, including SKU references, launch dates, channel requirements, and content dependencies. The integration can pass approved product attributes into OpenText Core Content - Metadata so that product documents, images, and supporting files are classified consistently. This supports faster launch execution, better alignment between commercial teams and content governance, and more reliable search and retrieval across repositories.
When OpenText Core Content - Metadata detects missing fields, invalid values, or taxonomy mismatches, the exception can be written back to Airtable as a task or issue record. Teams can assign owners, track remediation status, and manage due dates in Airtable without needing to work directly in the content repository. This creates a practical workflow for metadata cleanup, improves accountability, and shortens the time needed to resolve content quality issues.
Operations or procurement teams can use Airtable to manage vendor onboarding, contract review status, and document intake. Once a contract or supporting document is ready for formal storage, the integration sends key metadata such as vendor name, contract type, renewal date, and business unit into OpenText Core Content - Metadata. This ensures contracts are classified consistently, supports retention and retrieval requirements, and gives business teams a lightweight way to manage the process before records are formally governed.
Airtable can aggregate operational data such as content volume, approval status, metadata completeness, and campaign readiness across teams. OpenText Core Content - Metadata contributes authoritative classification data, such as content type, region, lifecycle stage, and compliance tags. By combining both sources, organizations can build dashboards that show metadata quality trends, content readiness by team, and repository compliance metrics. This gives managers better visibility into content operations and helps identify bottlenecks.
Content governance teams can maintain approved terms, categories, and metadata standards in OpenText Core Content - Metadata, while Airtable provides a user-friendly interface for business users to propose new values or request changes. The integration can route proposed terms from Airtable into OpenText for review and approval, then publish the approved vocabulary back to Airtable for use in forms and workflows. This balances governance with usability and helps keep metadata standards aligned across teams.