Qualified Data are any numerical information that has been modified or adjusted by mathematical or statistical operations and which may be limited in use for a specific function.

In the context of the environment, "qualified data" refers to data that has been collected and analyzed in a way that meets certain standards of quality and reliability. Qualified data is typically used to inform decision-making, research, and policy development, and it is often subject to review and validation by experts in the field.

Here are a few examples of how "qualified data" might be used in the context of the environment:

• Environmental assessments: Qualified data can be used to inform environmental assessments, which are evaluations of the potential impacts of a particular activity or development on the environment. Environmental assessments typically involve the collection and analysis of data on a range of issues, including air and water quality, biodiversity and land use.

• Environmental research: Qualified data can be used in environmental research, which aims to increase our understanding of the environment and its processes and to identify potential solutions to environmental problems. Environmental research often involves the collection and analysis of data from a variety of sources, including field observations, laboratory experiments, and satellite data.

• Environmental policy: Qualified data can be used to inform the development of environmental policy, which is the set of laws, regulations, and other measures that are used to protect the environment and human health. Environmental policy decisions often involve the review and analysis of data on a range of issues, including air and water quality climate change and wildlife conservation.