datafaglig

Datafaglig is a Danish term used to describe professional competence in the field of data. It refers to the combination of knowledge, skills, and practices needed to work with data responsibly and effectively across disciplines. Core components include data collection, cleaning, analysis, modeling, data governance, quality assurance, and the ability to translate data insights into actionable decisions. In addition, datafaglig encompasses ethical considerations, privacy, and compliance with data protection requirements.

In practice, datafaglig is invoked in education, training, and employment to signal a baseline level of data literacy and specialized expertise. Roles associated with datafaglig include data analyst, data engineer, data scientist, data architect, and data steward, among others. Tasks commonly described as datafaglig involve selecting relevant data sources, ensuring data quality, building and maintaining data pipelines, applying statistical or machine learning methods, interpreting results for stakeholders, and communicating findings clearly. Organizations emphasize datafaglig as a foundation for data-driven decision making and governance, with attention to ethics and security.

The term is primarily used in Danish-language contexts and related Scandinavian settings, and it emphasizes professional, discipline-specific competence in handling data rather than broad or purely theoretical knowledge.