A system for reporting laboratory analyses and field measurements for use in environmental monitoring.
StanLab is a system that enables laboratories to report results from environmental analyses directly to public databases. The system is used for reporting samples and analyses of e.g. bathing water, groundwater, and wastewater. StanLab contributes to a more efficient and precise data transfer, which supports the national work on monitoring environmental conditions.
With StanLab, laboratories can electronically send results from field measurements and laboratory analyses directly to systems such as PULS and VanDa and other systems.
StanLab is a system where laboratories can submit data from environmental studies directly to the databases of Danmarks Miljøportal, among others. The system supports the reporting of analysis results, including chemical measurements from surface water, treatment plants and bathing water areas. StanLab 2.0 is the latest version of the system that offers an improved service for field measurements and laboratory tests.
This automated data transfer enables faster and more accurate updating of environmental data, which is essential for monitoring and reporting according to Danish and European environmental standards. Laboratories can access the system and integrate it with their own systems to ensure smooth data processing.
For laboratories
StanLab enables fast and accurate datareporting. Laboratories can easily send analysis results to systems such as PULS and VanDa, making it possible to meet the environmental requirements that apply to reporting water quality and other environmental data.
For authorities
Environmental authorities can rely on the data reported through StanLab to monitor compliance with environmental requirements and respond quickly if water quality issues are detected. The system ensures that the data transfer is automated and minimizes the risk of human error.
StanLab is a tool for laboratories and environmental authorities working with environmental monitoring. It ensures efficient and accurate reporting of data, which is essential for environmental protection and compliance with environmental standards in Denmark.