The Fundamental Challenge
Delivering consistent, high-quality data to RINF requires more than updating an export routine. Infrastructure Managers face a set of interconnected challenges:
Bringing data together from multiple sources
The information RINF requires—track parameters, signalling systems, electrification, topology—typically lives in different systems across your organisation. Asset management, operations, signalling configuration, and GIS each hold pieces of the picture. RINF compliance means integrating these sources in a reliable, automated way.
Defining what’s true
When the same track appears in multiple systems with different attribute values, which one is correct? You need clear rules—often called survivorship rules—that determine which source is authoritative for which data elements. This is fundamentally a governance question, not a technical one.
Understanding the ERA ontology
RINF 2026 uses a formal semantic model—the ERA ontology—to describe railway infrastructure. Your internal data concepts must map to this shared vocabulary. “What we call X” must align with “what ERA means by Y.” This requires domain experts and data architects working together to understand both your data and the ERA model.
Building a sustainable delivery system
RINF isn’t a one-time export. Infrastructure changes continuously, and your data must stay current. You need processes and systems that can deliver validated, consistent data to ERA on an ongoing basis.
Key Insight: This guide covers the specific changes in RINF 2026—but keep these fundamental challenges in mind. The technical requirements make more sense when you understand them as serving these underlying goals.