We’re pleased to make available for review the first openIDS data standard, built around an insurable object (a residence) and aligned with core insurance records. The Residential Structure Model defines a large range of attributes that help insurers evaluate residential risks.
The openIDS Residential Structure Model includes code lists, risk indicators, and coverage indicators.
We’re pleased to make available for review the first openIDS data standard, built around an insurable object (a residence) and aligned with core insurance records. The Residential Structure Model defines a large range of attributes that help insurers evaluate residential risks.
Residential Structure Model
In insurance, an “insurable object” refers to any item that may be covered or excluded by a policy. By standardizing how residential structures are described and recorded, we’re enabling:
- Improved risk assessment – Consistent data means more accurate underwriting.
- Regulatory readiness – Quicker responses to regulators with data in recognized formats.
- Seamless interoperability – Shared definitions reduce the need for costly one-off data translations.
- Better insights – Rich, structured data unlocks more powerful analytics and product innovation.
How to Give Feedback
This release is a milestone for open insurance data standards. We invite you to review the Residential Structure Model and provide feedback. There are two easy ways to share your feedback:
- Add comments directly in the draft of the model
- Email your suggestions to the OpenIDL Executive Director, Josh Hershman
Comments are due by September 25.
Your feedback now will shape the future of insurance data standards.