Welfare Data Trust
A 0 to 10 score of farmed animals' welfare. Producers that share their outcome data with the Welfare Data Trust are scored on their verified results. For producers that don't, the score reflects only what their certification requires, or the level of typical conventional production if they hold none.
An independent trust that hosts farms' animal welfare outcome data, audits how that data is collected, and scores the verified results so that shoppers and the tools they use can buy on evidence. It publishes every score beside the data that produced it and beside benchmarks for conventional production and for established welfare certifications. An independent seven-member board oversees standards and appointments. A majority have no current financial ties to participating producers and bring expertise in animal welfare, veterinary medicine, measurement and consumer interests. Members disclose conflicts annually and recuse themselves from related decisions. Scoring decisions are made by reviewers separate from the commercial team; fees do not depend on the score. Appeals are heard by a panel that did not make the original decision.
Relationship to producers. Flat annual hosting and audit fee per farm, independent of the score. The producer cannot choose audit dates, edit hosted data except through logged corrections, suppress a score or withdraw after a scoring period begins.
A welfare claim should let a buyer check what happened to the animals before paying for it. Every score rests on outcome data the Trust hosts and audits.
A label asks for trust. Published, verified data can be checked, compared and acted on, which is what a purchase decision needs.
Established welfare certifications set useful floors: space, enrichment, handling, sometimes breed or outdoor access. They are checked by inspection and report a pass or a fail. They do not report how the animals on a certified farm actually fared, and two farms with the same label can have very different outcomes.
A standard's requirements describe inputs an auditor can see on the day. Outcomes such as survival, lameness and injury happen every day of every production cycle and have to be measured.
Outcome data is only worth scoring if it was collected honestly and consistently. The Trust audits the collection protocol itself: who and what is sampled, how scorers are trained and calibrated, how instruments are checked, and how records become published figures. Data that fails the audit is not scored.
Numbers a producer chooses, samples or scores alone can look good without being true. Auditing the method makes a score from one farm comparable with a score from another.
The Trust places every producer on the same 0 to 10 scale. Without shared data, a producer's score reflects only what its certification requires: 3, typical conventional production, without one; 5 for Certified Humane; 6 for GAP Step 3; and 7 for the most demanding practice standards. A buyer can see at once whether a farm has shown more than its label requires.
A label guarantees what its standard requires, not an outcome. Without data, that is what the score credits.
Without data, a score credits what a standard requires. Scores beyond that, and scores of 8 to 10, need verified outcome data. A certified farm that shares data is scored on its outcomes, above or below its certification's level.
Requirements describe inputs an auditor can see; outcomes have to be measured.
Slower-growing breeds, lower density, enrichment and outdoor access can all be good ways to improve animals' outcomes, and where they do the score reflects it. None is required. The score measures how the animals fared, not which methods were used.
Requiring a method replaces measurement with a proxy. Measuring outcomes rewards any approach that works and exposes any that does not.
The same hosting, audit and scoring framework applies across farmed species. Each species has its own published rubric of core outcome indicators, its own industry reference and its own levels for each certification.
Shoppers buy chicken, eggs, pork and dairy in the same basket. One scale across products lets them, and their tools, compare welfare the same way across a shop.