Veelgemeten

Veelgemeten is a Dutch term used to describe data, processes, or studies characterized by extensive measurement and quantification. The word combines veel meaning “much” or “many” and gemeten meaning “measured.” In academic and data-science discourse, veelgemeten environments emphasize dense sampling and comprehensive metric coverage.

The term appears to be a relatively recent coinage in Dutch-language usage, without a standardized entry in major dictionaries. Its exact origin is informal and its definition can vary by context, often surfacing in discussions of measurement-intensive research and data collection practices.

Definition and scope: Veelgemeten can refer to datasets with high measurement frequency, numerous variables, or stringent measurement protocols. A veelgemeten study collects a large number of measurements across time, space, or subjects, enabling robust statistical analyses while also posing challenges related to noise, missing data, and multiple testing. The label signals data richness, but does not automatically guarantee quality or validity.

Applications: The term is commonly applied in fields such as environmental monitoring, where sensor networks record data continuously, or in engineering, economics, and social sciences, where large-scale measurement campaigns produce extensive data streams. It is often used to contrast with more sparsely collected or selectively measured datasets.

Limitations and interpretation: Describing something as veelgemeten emphasizes quantity of measurements but does not by itself address data quality, calibration, or governance. Proper handling of biases, errors, and methodological assumptions remains essential in analysis.

See also: data density, high-frequency data, repeated measures design, measurement error.