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Our core expertise revolves around understanding analytical
chemistry, and its real world application in the field
of environmental data. Accordingly, we offer unmatched
analytical data qualification and data validation services
that meet or exceed regulatory and /or defensibility
needs. Over several years, Integrate has
spent considerable resources developing, automating,
and standardizing these capabilities in a niche that
has long yearned for standardization.
While Integrate can support your validation needs,
we also provide your validated data in a TerraBase format
allowing you to view your data spatially, and incorporate
user specified queries to help determine usability of
the data.
Integrate has developed standard operating procedures
for data validation that are used in conjunction with
a comprehensive library of documented analytical defect
codes. This use of SOP's and the defect codes
offer you a validation report that is easy to understand,
and completely consistent between data packages, or
individual validators.
Multiple levels of data validation are ubiquitous to
the environmental arena. The difference between
the defensibility of "raw" lab data, and "validated"
data can often mean the difference between compliance
vs. non-compliance, and other crucial courtroom
defensibility issues. These multiple levels of data quality
derived from the validation process are integrated within
the TerraBase database. TerraBase is unique in
that it can store up to 4 levels of data quality for
any parameter stored in the database.
These four levels of data quality can all be related
to various forms of data validation.
1-Lab Data: These
data are submitted directly from the laboratory in both
electronic, and hard copy format. Verification
of EDD (electronic data deliverable) to hard copy is
made to ensure that all data is consistent.
2-Level III Validated Data:
These data are reviewed according to Integrate's own
documented PDQ procedures that incorporate DQO/QAPP
specific criteria with National Functional Guidelines.
This level of validation requires a CLP or CLP-like
summary laboratory report, and includes all evaluations
that are not derived exclusively from raw instrument
data.
3-Level IV Validated Data:
These data undergo full review and evaluation of a complete
validatable package (CLP or CLP-like) according to DQO/QAPP
(quality assurance project plan) specific criteria,
and National Functional Guidelines. This level
of review includes all summaries, and raw data associated
with the data package, and ensures the highest level
of defensibility.
4-Data Usability: These
data have been subjected to a Level IV validation, and
are further reviewed across an entire project or
sampling event. Analytical data are identified
which are truly site-related for a sampling project.
Many false positives on a project level can be
eliminated due to rinsate and field blank contamination,
and common laboratory contaminants. Furthermore,
reported results can be compared to concentrations of
concern defined in the (QAPP) to determine the
significance of these results. The information
presented in Integrate's Data Usability Report provides
the most accurate picture of analytes present at a site
from which risk assessment decisions can be made. |
