Data & Data Science | Knowledge

Knowledge topic

Data provenance, data quality, reproducibility, data preparation and technical bases for assessment. This overview brings together the published technical articles and provides entry points into further technical questions.

Professional boundary: The articles address technical and methodological questions. Legal evaluation and legal advice remain separate.

Technical articles

6 published

Data as a Subject of Examination

A technical data assessment begins by fixing the exact dataset, its provenance, version, transfer path and transformations before analytical conclusions are evaluated.

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Technical Assessment of Data Quality

Data quality is technically assessable only when the relevant quality dimension, metric, reference basis, denominator and intended use are defined explicitly.

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Data Provenance, Lineage and Transformations

A lineage claim becomes technically useful when every relevant data state, transformation and derivation is tied to identifiable evidence and reproducible control points.

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Data Model, Schema and Integrity

Structural validity is technically assessable when logical models, physical schemas, constraints, relationships and schema changes are tied to concrete data states and reproducible validation rules.

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Statistical Analysis, Sampling and Reproducibility

A statistical result is technically reviewable only when the population, observed sample, preprocessing, model assumptions, parameters and reproducibility conditions are made explicit.

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Data Preparation, Missing Values and Outliers

Data preparation can change an analytical result materially. A technical examination therefore versions raw and analysis data separately, reconstructs missing-value and outlier decisions and tests sensitivity to those choices.

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Author's technical literature and publications

The following works provide additional technical and methodological context. They do not replace required primary sources, standards, manufacturer documentation or other independent specialist sources. Unpublished manuscripts, drafts and teaching materials are deliberately not presented here as public sources.

Technical question in this topic?

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