iratkezel

Iratkezel, in Hungarian administrative terminology, refers to the discipline and practices for handling documents and records within an organization. It covers both physical documents and electronic records, and focuses on ensuring that information is created, organized, stored, retrieved, used, preserved, and disposed of in a controlled and consistent manner throughout its lifecycle.

Key activities in iratkezel include creation and capture of records, classification and metadata assignment, indexing for efficient search, storage and secure access, version control, and an audit trail of interactions with records. Retention scheduling determines how long different types of records are kept, after which they are archived or disposed of in a compliant manner. Preservation efforts may be required for long-term access to important records, particularly for legal, historical, or regulatory reasons. Effective iratkezel also involves privacy and security measures, such as access controls, encryption where appropriate, and regular backup and disaster recovery planning.

Systems used in iratkezel range from manual filing methods to electronic document and records management systems (EDMS/ERM), and broader enterprise content management (ECM) platforms. These tools support metadata schemes, taxonomy and classification structures, searchability, workflow automation, and records management features like disposition reminders and immutable audit logs.

Compliance and standards play a central role in iratkezel. Standards such as ISO 15489 and the ISO 30300 family provide principles for records management, while data protection regulations (for example GDPR) influence how personal information is stored, accessed, and retained. Public sector requirements may impose additional archival and reporting obligations.

Implementation typically involves assessing current practices, designing a classification and retention framework, selecting appropriate technology, training users, and establishing governance and monitoring processes. Challenges include data migration, interoperability with existing systems, user adoption, costs, and ensuring ongoing compliance.