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Data Quality in the Age of AI: A Review of Governance, Ethics, and the FAIR Principles

Data quality is fundamental to scientific integrity, reproducibility, and evidence-based decision-making. Nevertheless, many datasets lack transparency in their collection and curation, undermining trust and reusability across research domains. This narrative review synthesizes scientific and techni...

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Principais autores: Miriam Guillen-Aguinaga, Enrique Aguinaga-Ontoso, Laura Guillen-Aguinaga, Francisco Guillen-Grima, Ines Aguinaga-Ontoso
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-12-01
Serier:Data
Fag:
data quality
data governance
FAIR principles
ISO/IEC 25012
data lifecycle
artificial intelligence ethics
Online adgang:https://www.mdpi.com/2306-5729/10/12/201
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