DSSdatabehandlingsstandarder

DSSdatabehandlingsstandarder is a term used to describe a framework of standards for data processing established within the DSS context. The standards define requirements for how organizations collect, store, process, share, and dispose of data, with emphasis on privacy, security, and accountability. They are intended to help organizations comply with data protection laws, notably GDPR, as well as national provisions on data handling.

The scope typically covers personal data and, where applicable, special categories of data, as well as the full data lifecycle. The standards address governance, roles and responsibilities, data classification, data mapping, and risk management. They emphasize privacy by design, data minimization, retention planning, and mechanisms for exercising data subjects’ rights. Technical measures such as access controls, encryption, pseudonymization, logging, and incident response are commonly specified, alongside organizational controls like training, policies, and supplier management. Interoperability with other frameworks and sector-specific requirements is often considered.

Governance and assurance are central elements. Organizations may adopt formal policies and procedures, conduct data protection impact assessments (DPIAs) for high-risk processing, and establish monitoring and audit processes. Certification or conformity assessment against the DSS standards may be available through national or regional standardization bodies or authorities, providing external assurance of compliance.

Implementation typically involves data inventory and classification, defining roles (controller and processor), mapping data flows, and implementing a layered security architecture. Ongoing governance includes periodic reviews, updates to reflect legal changes, and continuous risk management. Related concepts include GDPR, national data protection laws, and broader data governance initiatives.