This principle promotes federated governance across the data mesh and wider data sharing ecosystem to ensure interoperability and compliance with organizational rules and industry regulations. By standardizing governance practices through automation, this principle enables a trustworthy, secure, and interoperable data environment, allowing local domain teams to adapt standards to their specific needs. It requires collaboration between data domain representatives and platform experts from security, compliance, legal, and other areas. Computational governance leverages software code to automate compliance processes, ensuring consistency, transparency, and scalability while improving agility and efficiency in maintaining governance. This approach, informed by open standards, ensures that data products within the ecosystem align with legal, policy, and security requirements while enabling cross-domain data insights.