
Schema-less metadata management for flexible, custom data modeling in multilingual knowledge systems, supporting various data types and constraints.
Vendor
Coreon
Company Website



Coreon's Custom Metadata enables organizations to define and manage their own metadata properties within a schema-less database. Users can flexibly model their domain by specifying custom fields, data types, and constraints, ensuring the metadata structure aligns precisely with organizational and process requirements. This functionality supports a wide range of data types and enforces data quality and consistency across the repository.
Key Features
Schema-less Metadata Configuration Define custom fields and properties as needed, without being limited by a fixed schema.
- Add as few or as many metadata properties as required.
- Adapt metadata structure to evolving organizational needs.
Custom Data Types Support for a variety of data types to match diverse information needs.
- Text, multi-line text, number, boolean, date.
- Picklist, multivalue picklist, multimedia asset.
Constraint Enforcement Guarantee data quality and completeness with customizable rules.
- Make properties mandatory (e.g., definitions must be filled before saving).
- Enforce consistency and highlight preferred terms.
Visual Focus and Rating Rules Enhance usability and clarity through custom visual cues.
- Highlight preferred terms.
- De-emphasize undesired terms based on metadata-driven rules.
Domain Modeling Tailor metadata to reflect specific domain and workflow requirements.
- Specify property names, data types, and default values.
- Model complex, process-related attributes.
Benefits
Flexibility Adapt metadata structures to any domain or organizational requirement.
- No rigid schema limitations.
- Easily evolve metadata as needs change.
Data Quality and Consistency Ensure reliable and complete information throughout the repository.
- Enforce mandatory fields.
- Apply rating and highlighting rules for clarity.
Usability Streamline the management and visualization of complex metadata.
- Visually distinguish key terms and attributes.
- Simplify workflows for maintainers and users.