Calibration Data De-Identification with anonym.plus

HR Solution · Performance & Talent · Equality Act 2010

Calibration data de-identification is the removal of names from rating grids before managers compare scores. The Equality Act 2010 discourages decisions tied to its nine protected characteristics. anonym.plus masks each identifier on your device, so the session weighs the work alone, not the person.

When this applies

A calibration meeting lines up scores across a team. You blind the names first, so the discussion stays on merit and helps guard against bias claims under the Equality Act 2010.

How anonym.plus handles it

1. Open the rating grid in anonym.plus on your device.
2. Built-in OCR reads a scanned score sheet.
3. The app marks names and any characteristic-linked terms.
4. Confirm the markings and keep the score columns.
5. Mask each name with a stable code.
6. Save the blinded grid locally.

What you need to provide

• The rating grid (XLSX-as-TXT, PDF, DOCX).
• The Mask operator for stable, blind codes.
• Optional alias map, sealed and kept off-grid.

PII entity types detected

Compliance achieved

• Supports bias-blind review under the Equality Act 2010.
• Hides protected characteristics so a panel scores skill, not identity.
• Offline work keeps sensitive characteristic data off any server.
• AES-256-GCM guards the working copies.

Limitations & cautions

Blinding names does not remove bias from prior scores. If a rating already reflects a protected characteristic, masking alone will not cure it. Audit the inputs, not just the labels.