Welcome! This repo introduces VTL v2.2 — a standard language for working with statistical data.

VTL (Validation and Transformation Language) is designed to help you:

• ✅ Define data validation rules
• 🔄 Perform simple data transformations
• 📊 Compute derived values

Think of it as a common language to describe how data should be checked and processed.

Most organizations care a lot about data quality.
VTL helps by:

• Providing a standard way to write validation rules
• Making it easy to share rules with data providers
• Allowing validation before data is delivered

👉 In short: better rules = better data.

VTL v2.2 is mainly focused on validation, but:

• It also supports basic transformations
• It treats validation as a special case of transformation

For the full list of what you can do, check out the 📖 Reference Manual.

VTL started in the SDMX world, but it's not limited to that.

It’s also relevant for:

• DDI users
• GSIM users
• Statistical organizations (HLG-MOS community)

💡 The goal is to have one shared language, instead of many incompatible ones.

VTL is built to be:

• 🔗 Standard-agnostic (not tied to SDMX, DDI, or GSIM specifics)
• 🧱 Based on a simple common information model (IM)
• 🔄 Easily adaptable via mapping from other data models

This makes it flexible and reusable across different systems.

✨ TL;DR: VTL is a shared, standardized way to validate and transform statistical data — designed to improve quality, consistency, and collaboration.