openIDL Launches First-Ever Free and Open Production-Ready Insurance Data Standard: openIDS Homeowners Standard v.1.0
By Lauren Towner · 21 November 2025

openIDL, an initiative of the Linux Foundation dedicated to modernizing and standardizing insurance data, announced the release of the first-ever free openIDS (open Insurance Data Standards) Homeowners Standard v.1.0. This release marks a significant industry milestone and sets the stage for a new generation of open, interoperable insurance data models.
openIDS, an initiative under openIDL, is designed to improve regulatory reporting, streamline data exchange, and accelerate innovation. openIDS provides a common framework that enables insurers, regulators, and partners to share information efficiently and securely.
Developed through the openIDS Data Standards Working Group (DSWG) Homeowners Workstream, the openIDS Homeowners Standard v.1.0 introduces a consistent framework for capturing and exchanging property risk data. With this standard, insurers, regulators, and ecosystem partners can streamline compliance reporting, reduce data friction, and unlock opportunities for innovation and digital transformation across the insurance value chain.
"This release is a testament to the power of collaboration," said Josh Hershman, Executive Director of openIDL. "Our members came together to design something dynamic, resilient, and future-focused. With the governance and support of the Linux Foundation, we're building a foundation for insurance data standards that can scale and adapt as the industry evolves."
The openIDS Homeowners Standard v.1.0 is the first in a series of planned data models aimed at harmonizing insurance data practices. Future models will expand into additional lines of business and use cases, further accelerating the adoption of open, standardized approaches that benefit insurers, regulators, and policyholders alike.
By standardizing how policies and insurable objects are described and recorded, openIDS is enabling:
- Improved risk assessment – Consistent data means more accurate underwriting.
- Regulatory readiness – Recognized data formats enable quicker responses to regulators.
- 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.
Companies in this story: Cloverleaf Analytics, American Association of Insurance Services (AAIS), openIDL, reThought Flood
People in this story: Josh Hershman, Michael Payne, Cory Isaacson, Robert Clark