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dido:01-fdis-ra:02-background-and-motivation:02-5-why-a-reference-architecture-is-needed:02-5-1-semantic-drift-over-time:start [2026/07/12 12:45] – created nick_didodido:01-fdis-ra:02-background-and-motivation:02-5-why-a-reference-architecture-is-needed:02-5-1-semantic-drift-over-time:start [2026/07/18 12:33] (current) – external edit 127.0.0.1
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 Over time, this condition erodes historical comparability, auditability, and reproducibility. It weakens the ability to explain trends, reassess prior conclusions, compare results across reporting periods, or defend analytical outcomes, even when the underlying data remains syntactically valid. Over time, this condition erodes historical comparability, auditability, and reproducibility. It weakens the ability to explain trends, reassess prior conclusions, compare results across reporting periods, or defend analytical outcomes, even when the underlying data remains syntactically valid.
  
-Semantic drift is therefore not merely a data-quality issue or a tooling deficiency. It is an architectural failure mode that arises when systems leave meaning implicit, distribute it across components and organisations, and fail to govern it across boundaries and over time.+Semantic drift is therefore not merely a data-quality issue or a tooling deficiency. It is an architectural failure mode that arises when systems leave meaning implicit, distribute it across components and organizations, and fail to govern it across boundaries and over time.
  
 Addressing semantic drift requires architectural mechanisms that make semantic change: Addressing semantic drift requires architectural mechanisms that make semantic change:
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   * Reconstructable throughout the reporting lifecycle   * Reconstructable throughout the reporting lifecycle
  
-The [[dido:99_annexes:annex-b-terms-and-definitions:f:fdis_ra|Federated Data Interpretation Systems Reference Architecture (FDIS-RA)]] addresses this failure mode by separating semantic assets, interpretive rules, version context, and execution responsibilities and by preserving their relationships across reporting periods and system boundaries.+The [[dido:99_annexes:annex-b-terms-and-definitions:f:fdis-ra|Federated Data Interpretation Systems Reference Architecture (FDIS-RA)]] addresses this failure mode by separating semantic assets, interpretive rules, version context, and execution responsibilities and by preserving their relationships across reporting periods and system boundaries.
  
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