datalivscyklusens

The datalivscyklusens, or data lifecycle, is a framework used in information management to describe how data evolves from its origin to its disposal. It covers the creation or capture of data, its storage and organization, its processing and analysis, its sharing and reuse, its retention and archiving, and its eventual deletion. The lifecycle emphasizes data quality, accessibility, security, and regulatory compliance across all stages and involves roles such as data owners, data stewards, IT professionals, and compliance personnel.

In practice, the lifecycle begins with data creation or capture from sources such as sensors, databases, or user inputs. Data is then stored and organized in repositories with metadata and data catalogs to support discovery and lineage. Processing and analysis transform data for use in decision making, reporting, or model development, often involving integration with other data sources. Sharing and reuse are governed by access controls, consent where applicable, and data provenance to maintain trust and accountability. Retention and archiving define how long data is kept and when it moves to long-term storage, is anonymized, or is securely deleted. Ongoing governance and quality assurance ensure data accuracy, consistency, and compliance with policies and regulations.

Governance frameworks, such as DAMA-DMBOK and ISO data quality standards, guide the responsibilities, policies, and controls across the lifecycle. The datalivscyklusens supports data-driven decision making, risk management, and regulatory compliance, while also addressing challenges such as data silos, quality issues, privacy concerns, and the complexity of modern data environments.