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Data Quality Objectives Development

To assure proper planning, Aeolus applies the principles of the Data Quality Objectives (DQO) process, which is an EPA planning tool that facilitates careful matching of the type and quality of data to the manner in which such data are to be evaluated so that decision errors can be minimized and data needs can be specified sufficiently (up front) to support efficient investigation design.  An overview of the DQO process can be downloaded from this page and links to the EPA guidance documents are also provided.

Minimizing decision errors (while simultaneously limiting the required quantity of supporting data) requires identification and application of statistical tools that are carefully matched to each particular problem.  Aeolus has studied these relationships and published manuscripts indicating the best approaches.  We also apply this expertise for our clients.