The European Union is known for its rigorous approach to data regulation. Sectors such as finance, healthcare, energy and telecommunications operate under a complex regulatory framework that demands high standards of data quality, security and governance.
In regulated sectors, data is not just a business asset, it is evidence of compliance. Supervisory authorities require data to be accurate (error-free to avoid incorrect decisions), complete (with all necessary information for supervision), auditable (with full traceability of origin and transformations), secure (protected against unauthorized access) and available (accessible when authorities require it).
The main EU regulations affecting data include GDPR (General Data Protection Regulation), which requires that personal data be processed lawfully, fairly and transparently, collected for specific and explicit purposes, accurate and kept up to date, and deleted when no longer needed. For data curators, GDPR involves managing user consent, ensuring the right to be forgotten, maintaining records of data processing, and implementing appropriate security measures. MiFID II (Markets in Financial Instruments) requires financial institutions to report all transactions with accurate and timely data, meaning validating transaction data integrity, maintaining complete market data lineage, and ensuring transaction traceability. Basel III/IV (Bank capital requirements) requires banks to maintain high-quality risk data, with BCBS 239 principles establishing robust data governance, risk data aggregation capabilities, accurate and timely risk reporting, and data quality auditing. DORA (Digital Operational Resilience Act) is a new regulation requiring financial entities to manage IT risks and ensure operational resilience, including data protection against cyberattacks. The AI Act (Artificial Intelligence Regulation) classifies AI systems by risk level and, for high-risk systems, requires high-quality training data, free from bias and representative.
Data curation challenges in regulated sectors include data volume (regulated sectors generate enormous volumes of data), multiple sources (data from different systems that must be integrated), sensitive data (personal, financial or health information requiring protection), continuous auditing (data must be auditable at any time), and regulatory changes (regulations change and processes must adapt).
Best practices for data curation in regulated sectors include implementing a data governance framework with roles (Data Stewards, Data Owners), policies and processes for data management; automating data validation with tools like Great Expectations; maintaining complete data lineage documenting the origin, transformations and destination of all data to facilitate audits; implementing role-based access control ensuring only authorized personnel have access to sensitive data; and establishing continuous quality monitoring with dashboards and alerts to proactively detect issues.
The role of the data curator in regulated sectors is critical. The data curator in regulated sectors is a compliance guarantor. Their work ensures that the organization can operate without regulatory risks and with the confidence of supervisors.
Regulated sectors in the EU face unique challenges in data management. Data curation becomes a strategic function that not only guarantees data quality, but also regulatory compliance and competitiveness in a demanding market. At Curaduriadedatos.com, we help companies in regulated sectors implement data curation strategies that comply with EU regulations.