attributtkilder

Attributtkilder are the sources from which attribute values originate in a dataset or information system. They provide provenance information for each attribute value, enabling traceability and accountability for data.

The primary purpose of attributtkilder is to support data quality, auditability, reproducibility, and regulatory compliance. By recording where a value came from, who or what supplied it, and when, organizations can assess reliability, resolve discrepancies, and demonstrate data lineage to stakeholders.

A complete attributtkilde record typically includes the source system or process, the method of data collection (manual entry, automated extraction, sensor, etc.), the timestamp of capture or update, and the identifier of the person or process that provided the value. In practice, attributtkilder are maintained as metadata and may be part of data catalogs, lineage graphs, or ETL logs. They are closely related to data provenance and data governance.

Common challenges include handling multiple potential sources for a single attribute, inconsistent naming or coding across systems, privacy and access restrictions, and the performance impact of recording provenance at scale. Effective management involves standardizing source identifiers, capturing provenance at the point of value assignment, maintaining changelogs, and integrating provenance data into governance workflows. Frameworks such as the W3C PROV model can help structure and exchange provenance information.

Examples include a customer database where an email attribute has attributtkilde “import from CRM system X on 2024-03-15” or a sensor-based temperature reading with attributtkilde “sensor ID 42, calibrated 2024-05-01, received via IoT gateway.” These records support trust, traceability, and better decision-making.