

Ref. No. [UMCES] CBL 2017-050
ACT VS17-05
38
Table 9. The number of reference samples collected during the laboratory test and at each field site.
Site
No. of
Samples
No. of
Replicates
per
Sample
No. of
Analytes
1/
Measured
in Each
Replicate
No. of
Measurement
s
Maumee River
61
3
3
549
CBL – Field
120
3
3
1080
CBL – Lab
92
5
3
1380
Hawaii
73
3
3
657
Total
346
3,666
1/
NO
2
; NO23; PO
4
The data review verified that the sampling and analysis protocols specified in the Test
Protocols were followed, and that the ACT measurement and analytical systems performed in
accordance with approved methods, based on:
•
The raw data records were complete, understandable, well-labeled, and traceable;
•
All data identified in the Test Protocols were collected;
•
QC criteria were achieved; and
•
Data calculations were accurate.
Data validation uses the outputs from data verification and included inspection of the verified
field and laboratory data to determine the analytical quality of the data set. A representative set of
approximately 10% of the reference data was traced in detail from 1) raw data from field and
laboratory logs, 2) data transcription, 3) data reduction and calculations, to 4) final reported data.
Validation of the data sets established:
•
Required sampling methods were used;
•
Sampling procedures and field measurements met performance criteria; and
•
Required analytical methods were used.
The data validation also confirmed that the data were accumulated, transferred, summarized,
and reported correctly. There is sufficient documentation of all procedures used in the data collection
and analysis to validate that the data were collected in accordance with the evaluation’s quality
objectives.
A Data Quality Assessment (DQA) is the third and final process of the overall data
assessment. It is a scientific and statistical evaluation of validated data to determine if the data are
of the right type, quality, and quantity to support conclusions on the performance of the technologies.
The DQA determined that the test’s data quality objectives, described in Section 7.1 of the Test
Protocols and Section 3.4 and Appendix B of the ACT QAPP (ACT, 2016), were achieved. This
evidence supports conclusions that: