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+====== Reproducibility ======
+[[public:99_annexes:annex-b-terms-and-definitions:start|Go up to Terms and Definitions]]
+===== Discussion =====
+Reproducibility concerns the ability to obtain materially equivalent results by applying the same governed inputs, definitions, rules, parameters, versions, and interpretive context.
+In regulated data interpretation systems, reproducibility supports confidence that an outcome does not depend on undocumented tool state, hidden assumptions, transient configuration, or uncontrolled implementation behavior.
+Reproducibility requires explicit identification of:
+  * Source inputs
+  * Semantic definitions
+  * Rule versions
+  * Parameters
+  * Configuration
+  * Model or component versions
+  * Processing sequence
+  * Interpretive context
+Material equivalence does not always require bit-for-bit identity. Some processing techniques, including probabilistic or artificial intelligence-assisted methods, may produce variable outputs. In such cases, the governing architecture defines the acceptable degree and form of equivalence.
+===== Definition =====
+//quality permitting equivalent results//
+===== Source =====
+  * Federated Data Interpretation Systems Reference Architecture (FDIS-RA)
+  * ISO 5725, Accuracy of measurement methods and results
+  * ISO/IEC 25010, Systems and Software Quality Requirements and Evaluation
+===== Note =====
+Reproducibility differs from repeatability. Repeatability generally concerns obtaining consistent results under the same conditions and environment. Reproducibility may involve a different system, tool, environment, or implementation while preserving the governed basis of the processing.
+Reproducibility also differs from traceability. Traceability explains how a result was produced. Reproducibility establishes whether an equivalent result can be produced again under the declared conditions.
+===== Example =====
+An interpretation is reproducible when an independent implementation can apply the same source information, semantic baseline, rule set, parameters, and context and obtain a materially equivalent result.
+----
+<WRAP centeralign>
+© 2026 Dido Solutions, Inc. and Jackrabbit Consulting, Inc.
+</WRAP>