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Data Validation, Usability and Defensibility
Oral Presentation
Prepared by K. Bagawandoss
Accutest Laboratories, 10165 Harwin Drive, Houston, Texas, 77036
Contact Information: drdoss@accutest.com; 713-271-4700
ABSTRACT
Data validation is the heart and soul of data usability and defensibility of environmental laboratory data. Data from laboratories are submitted in several forms. Namely, Level I, Level II, Level III and Level IV. There are three steps in determining if the data is complete, valid and usable for a specific project and objective. The three steps are data verification, data validation and data usability. This presentation would outline the steps involved in obtaining defensible data from the laboratories based on the project requirements and the defined data quality objectives such as risk assessment. The qualification of data using the guidance provided in the USEPA National Functional Guidelines and Professional Judgment will be discussed. The selection of data validators and their qualifications will be discussed in terms of defending data when legal challenges are posed. A discussion of when does one need to validate data using a third party validator will be addressed. An example data validation report will be presented. The role of professional judgment of a data validator will be discussed. The need for consistent application of Professional Judgment will be addressed.
Oral Presentation
Prepared by K. Bagawandoss
Accutest Laboratories, 10165 Harwin Drive, Houston, Texas, 77036
Contact Information: drdoss@accutest.com; 713-271-4700
ABSTRACT
Data validation is the heart and soul of data usability and defensibility of environmental laboratory data. Data from laboratories are submitted in several forms. Namely, Level I, Level II, Level III and Level IV. There are three steps in determining if the data is complete, valid and usable for a specific project and objective. The three steps are data verification, data validation and data usability. This presentation would outline the steps involved in obtaining defensible data from the laboratories based on the project requirements and the defined data quality objectives such as risk assessment. The qualification of data using the guidance provided in the USEPA National Functional Guidelines and Professional Judgment will be discussed. The selection of data validators and their qualifications will be discussed in terms of defending data when legal challenges are posed. A discussion of when does one need to validate data using a third party validator will be addressed. An example data validation report will be presented. The role of professional judgment of a data validator will be discussed. The need for consistent application of Professional Judgment will be addressed.