Data Defensibility - Producing Legally Defensible Environmental DataEnsuring Reliable Data
Oral Presentation
Prepared by K. Power1, J. Garcia2
1 - Trihydro Corporation, 1252 Commerce Drive, Laramie, WY, 82070, United States
2 - Trihydro Corporation, 1536 Cole Boulevard, Bldg 4, Suite 140, Lakewood, CO, 80401, United States
Contact Information: [email protected]; 307-745-7474
ABSTRACT
Data Defensibility – Abstract
Environmental data are routinely used to support regulatory decisions, risk assessments, remediation strategies, and legal proceedings. Despite this reliance, data defensibility is often treated as a downstream problem, addressed only after data are questioned, rather than a design criterion established at the outset of a project. When data are later challenged by regulators, opposing experts, or legal counsel, shortcomings in planning, documentation, or quality control can undermine otherwise sound technical work. This presentation provides a practical, user-focused framework for producing legally defensible environmental data across the full data lifecycle.
The presentation outlines a structured approach organized around six critical stages: define, plan, prepare, execute, review, and manage. Emphasis is placed on defining defensibility early through clear problem statements and data quality objectives that account for both current and potential future uses of the data. Planning strategies are discussed, including selection of appropriately accredited laboratories, qualified field personnel, and the development of fit-for-purpose planning documents such as Sampling and Analysis Plans, Quality Assurance Project Plans, and Data Management Plans.
Key preparation and execution practices are highlighted, including laboratory coordination, field training, chain-of-custody procedures, and the strategic use of quality assurance samples to assess contamination, precision, and accuracy. The presentation also examines multi-tiered data review and validation processes, describing how laboratory review, project-level verification, and third-party validation contribute to defensibility by documenting method compliance, data quality indicators, and data limitations through appropriate qualifiers.
Finally, the importance of long-term data management is addressed, with discussion of maintaining legal data records, validation qualifiers, and audit trails to prevent misinterpretation or allegations of data manipulation. By applying this systematic approach, environmental professionals can improve data quality, reduce project risk, and increase confidence in their ability to defend data under regulatory or legal scrutiny.
