The ADaPT and EDMS software programs were developed on a Microsoft ACCESS 2000/2002 platform as tools to support
technical staff in the evaluation of analytical chemistry data using an expedited and cost effective automated process.
the electronic data deliverables (EDD)provides a standardized format, allowing laboratories to streamline the data
deliverable process. The ADaPT and EDMS processing allows the data end user to efficiently evaluate large
data sets for key indicators and ultimately determine the usability of the data.
The application is designed to perform compliance screening of the EDD and routine data quality accuracy and
precision checks traditionally performed through a manual data review. The EDD is checked for standard value errors,
incorrect formatting, and missing information from required fields through the Contract Compliance Screening module
(CCS). The CCS software verifies the EDD immediately for completeness and compliance against project specific criteria.
The Automated Data Review module (ADR) performs an automated data review equivalent to an EPA Level 3 evaluation and
provides the user with discrete data qualification. Data qualifiers are appended to each result in the EDD. The
qualified data are then exported into the Environmental Database Management System (EDMS) software program for further
assessment such as comparison against Maximum Contamination Levels (MCLs), historical data trending, and generation of
Quality Control Summary Reports.
A more detailed discussion of the ADaPT software can be found in the
to the software’s manual.
Frequently Asked Questions
The following files provide specifications for the three EDDs needed for ADaPT and EDMS. Each file lists the data
element name, data type, data description, whether the data element is required, whether a standard value list applies,
and a description of error checks. ADaPT requires laboratory receipt and laboratory result deliverables. The field
deliverable is uploaded into EDMS along with an export from ADaPT.
Standard Value Lists (SVL)