Dataledelse

Dataledelse is a field within information management that focuses on the governance, strategy, and practical management of an organization's data assets. It aims to ensure that data is accurate, available, secure, and used in ways that support business objectives while complying with legal and ethical requirements.

Core elements include establishing a data governance framework, defining data ownership and stewardship roles, and implementing policies for data quality, metadata, security, privacy, and lifecycle management. Dataledelse covers both operational data used in day-to-day processes and analytical data used for decision making, and it emphasizes data as a strategic asset rather than just a technical resource.

Roles and processes in dataledelse typically involve a chief data officer or data governance lead, data owners who control specific data sets, and data stewards who ensure data quality and adherence to usage rules. Key processes include policy development, data classification, access control, data quality measurement, data lineage tracking, risk assessment, and privacy-by-design practices. Governance bodies such as data councils or steering committees coordinate activities across business units and IT.

Benefits and challenges. Effective dataledelse can improve decision quality, regulatory compliance, data reuse, and risk management, while reducing costs from data duplication and inefficiencies. Challenges often include organizational silos, cultural resistance to change, limited funding, complex legacy systems, and the need to maintain alignment with evolving laws and business needs.

Relation to frameworks and standards. Dataledelse is commonly guided by established frameworks such as DAMA-DMBOK, DCAM, and ISO standards (for example ISO/IEC 38505), which provide structures for governance, data quality, metadata, and governance processes.