Deployment evaluation · 15

Data usefulness and provenance

Score whether positioned, timestamped and calibrated readings support the intended maintenance or response decision.

Evidence statusField mission framework · task, terrain and site validation requiredLast reviewed: 15 August 2026
15

FUURAA thesis

More collected data is not better evidence unless its quality and decision use are known.

Engineering map

Turn the title into engineering objects that can be observed, measured and reviewed.

Each layer states the boundary to establish and the evidence needed for the next decision.

01

Quality

Define completeness, accuracy, uncertainty, detection and false-alarm thresholds.

02

Provenance

Link raw data to pose, payload, calibration, software and operator review.

03

Use

Track anomaly acceptance, work order, rescan, rejection and closure.

Verification questions

Write the questions first, then decide whether a demo, test, pilot or operating record can answer them.

Each question needs an object, conditions, denominator, threshold and accountable decision owner.

  1. 01

    What quality specification applies?

  2. 02

    How much data are missing or rejected?

  3. 03

    Can another reviewer reproduce the finding?

  4. 04

    What action did the evidence support?

Evidence to preserve

Enable the next reader to reconstruct conditions, results, failures and the decision.

A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.

  1. 01

    Evidence package 1

    Data acceptance specification

  2. 02

    Evidence package 2

    Raw-to-decision provenance

  3. 03

    Evidence package 3

    Independent review and disposition

Scope boundary

State what this evidence still cannot be generalised to.

Sources and evidence status

Read standards scope, measurement evidence and application conclusions separately.

Source dates and review status remain visible; external sources open in a new tab.