Read our new Whitepaper

“FRIDAS: A GIS Data Quality Framework”

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What is FRIDAS?

FRIDAS is a data standard framework for benchmarking the quality and reliability of GIS data used in Biodiversity Net Gain.

It provides a structured way to assess how data is created, managed, and applied, helping to identify inconsistencies, gaps, and risks before they influence outcomes.

Rather than replacing existing tools…

FRIDAS sits alongside your existing workflows

You may have seen us…

Royal Geographical Society

CIEEM

Biological Recording Company

How Does it Work?

For Organisations championing best practice

Launching Autumn 2026

Work with EcoSpatial as part of the Partner Programme to apply FRIDAS across your organisation and establish a consistent, recognised approach to data quality.

  • Independent review of your GIS and BNG workflows

  • Identification of where data quality issues are introduced

  • Alignment with FRIDAS standards across projects and teams

Embed a consistent validation approach

Strengthen delivery and reduce risk

Aligned with a consistent framework

REGISTER YOUR INTEREST IN THE FRIDAS PARTNER PROGRAMME

Resources

We believe that a shared understanding of best practice is essential, which is why FRIDAS is supported by open resources designed to help organisations improve how they create and manage BNG data.

Supporting Documents

Whitepaper

The FRIDAS whitepaper brings together existing research and industry insight to highlight the challenges associated with GIS data in Biodiversity Net Gain. It explores common issues in how spatial data is created, structured, and used, and outlines the need for a more consistent approach to assessing data quality.

Read Whitepaper

The Standard

The FRIDAS standard defines a consistent, best practice method of assessing and benchmarking the quality and reliability of BNG data. Built on established GIS best practice and Natural England guidance, it sets out clear expectations across six key areas This ensures that data is structured, spatially accurate, well-documented, and suitable for analysis, comparison, and long-term use.

Read Data Standard

FRIDAS Fieldnotes

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