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Data Collection by Experiments

Data Collection by Experiments

Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public clinical trial...

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Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

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The Copenhagen Primary Care Laboratory (CopLab) Database.

Margit Kriegbaum¹, Bent Struer Lind², Mia Klinten Grand¹

¹The Copenhagen Primary Care Laboratory (CopLab) Database, Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Clinical Epidemiology

|March 6, 2024

Summary

The CopLab database provides extensive primary care laboratory test results for over 1.3 million individuals in Copenhagen from 2000-2015. This valuable research resource links clinical data with national health registries.

Keywords:

clinical biochemistry epidemiology laboratory database population-based cohort register studies

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Last Updated: Jun 19, 2026

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Area of Science:

Biomedical research
Public health
Clinical informatics

Background:

The Copenhagen General Practice Laboratory (CGPL) operated from 1922 to 2015, serving Copenhagen's primary healthcare sector.
Upon closure in 2015, the CopLab database was created to preserve and utilize CGPL's historical data for research purposes.

Purpose of the Study:

To establish a comprehensive research database from historical primary care laboratory test results.
To facilitate research by linking clinical data with national health and demographic registries.

Main Methods:

Isolated clinically relevant laboratory tests from CGPL records.
Linked the CopLab database with national health, social, and demographic registers.
Utilized descriptive statistics, including counts, percentages, medians, and interquartile ranges (IQR), for data presentation.

Main Results:

The CopLab database contains data from 1,373,643 unique individuals in primary care, covering laboratory analyses (blood, urine, semen) and function tests from 2000-2015.
The dataset represents nearly all test results requested by general practitioners for Copenhagen residents during this period.
The median age of individuals is 51 years, with 59.7% females, and a median of 4 requisitions per individual. A significant portion of participants remain alive and can be followed in other Danish national registries.

Conclusions:

The CopLab database is a rich resource for epidemiological and clinical research in primary care.
The linkage with national registries enhances the potential for in-depth health outcome studies.
This database provides a unique opportunity to study health trends and disease patterns in a large, well-defined population.