Please join SWEP for a meeting with Veronica “Roni” Tanguay, an Environmental Analyst at the CT DEEP. Roni leads the DEEP QA/QC workgroup, consisting of both environmental and laboratory professionals. Together, they developed and provided a day-long training course to EPOC in May 2025. Workgroup members will serve as a panel for discussion and questions.
Workgroup members:
Tina Clemmey Ensafe
Rebecca Merz – Phoenix Environmental Laboratories, Inc.
Jeffrey Smith – Complete Environmental Testing, Inc.
Kevin Vanderveer – CT DEEP
Christina Venable – Loureiro Engineering
During this lunch-and-learn, DEEP will be presenting an abbreviated version of this training including:
· A review of the general concept of ensuring high data quality starting from initial investigation planning to field activities, and finally, to investigation reporting to DEEP.
· A review of the steps to conduct both the DQA and DUE.
Environmental investigations conducted for the purpose of remediation activities require the use of laboratory analyses performed on environmental media to determine if remediation is needed. Because of the nature of environmental media, limitations of analytical methods, characteristics of analytes, and human error, the results of environmental analyses may contain an element of uncertainty and, in some cases, may be significantly biased. Therefore, some analytical data may not be representative of the actual concentrations of the analytes in the environmental media. Evaluation of the quality of the analytical data in relation to its intended use is important, and necessary, for the environmental professional to make informed decisions that are supported by data of known and sufficient quality.
Evaluation of data quality consists of a two-step process. The first step consists of an assessment of data quality. The second step is an evaluation to determine whether the data can be used to support the decisions that will be made using that data. Together these steps are referred to as Data Quality Assessment and Data Usability Evaluation.
Data Quality Assessment consists of the identification and summary of quality control non-conformances identified in the laboratory narrative provided to the data user. Data Usability Evaluation consists of the process to determine whether the data can be used to support the decisions that will be made using the acquired data.
This is an interactive program and there will be plenty of time for questions and answers.
Non-members are invited to join the program as well for a registration fee of $15. If you join SWEP-CT prior to the event, this fee will be waived.
You will receive the meeting log-in information with your registration confirmation. Please remember to copy the meeting log-in information into your calendar event reminder prior to the event. We look forward to seeing you then!
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