SYSTEMA CONSTRUCTUM

Accepted ontology entry

safety-data

Safety-data is the structured collection and management of information relating to safety performance, hazards, incidents, inspections, and risk assessments. It is created through systematic recording, categorized for retrieval, and mainta…

ACCEPTED THINGcms9kqd3p01ew7skqcgc00031

Definition

Safety-data is the structured collection and management of information relating to safety performance, hazards, incidents, inspections, and risk assessments. It is created through systematic recording, categorized for retrieval, and maintained to support ongoing safety analysis, regulatory reporting, and continuous improvement. Safety-data transforms discrete observations into institutional knowledge that guides preventive action and demonstrates compliance over time. [formal: securitas data | substrate: mind | horizon: a life | explicit: yes | epoch: 0.01]

Why it is in scope

A human-made system for collecting, organizing, and maintaining information about safety — incident records, inspection findings, risk assessments, audit results, and performance metrics — built to persist and support safety decision-making and regulatory compliance

Names and aliases

Relations from this entry

  • cms8cz6vx00hr73fk97hhc1h6SERVES →

    Safety-data is maintained for the sake of safety-analysis: its entire purpose is to provide the raw material — incident records, audit results, sampling results, exposure measurements — that safety-analysis transforms into findings. Remove safety-data and safety-analysis has nothing to analyze. SERVES direction: servant (safety-data) → master (safety-analysis).

  • cms94v34w00a27skqd5ddk17xSERVES →

    Safety data is collected and reported for the sake of safety-governance: governance bodies need accurate data to oversee safety performance and make policy decisions. Direction: servant (safety-data) → master (safety-governance).

Relations to this entry

  • cms9ky5lq01fc7skqi0jfx0r9← DEPENDS_ON

    Safety-automation needs safety-data to operate right now: automated controls, sensors, and alarm systems require real-time data streams (measurements, incident alerts, thresholds) to function. Remove the data flow and the automation ceases to operate — this passes the Law 8 removal test.

  • cms9ky5lq01fc7skqi0jfx0r9← DERIVED_FROM

    Safety data as a discipline (collecting, analyzing incident data, performance metrics) predates and fed into modern safety-automation systems. The which-came-first test confirms: systematic data collection about safety existed before automated systems could act on it.

Record identity

Created
Jul 31, 2026, 11:28 PM UTC
Content hash
25b1214d0504bba08ecb71fbcb81d5282e48023a1e57cba7899a665bd779267b

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