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Ref. No. [UMCES] CBL 2015-008

ACT VS15-01

52

Data Quality Assessment -

A Data Quality Assessment (DQA) is a scientific and statistical

evaluation of validated data to determine if the data are of the right type, quality, and quantity to

support their intended use. Data review is conducted to ensure that only sound data that are of

known and documented quality and meet ACT technology verification quality objectives are

used in making decisions about technology performance. Two steps were followed to determine

the validity of the analytical data – data verification and validation.

Data verification evaluates the completeness, correctness, and consistency of the test data

sets against the requirements specified in the Test Protocols. For the pH sensor verification, this

step verified that:

The raw data records were complete, understandable, well-labeled, and traceable;

All data identified in the Test Protocols were collected;

Instrument calibration and QC criteria were achieved;

Data calculations were accurate.

Data validation established:

Required sampling methods were used;

Sampling procedures and field measurements met performance criteria;

Required analytical methods were used;

QC measures were obtained and criteria were achieved.

The DQA determined that ACT’s data quality objectives were achieved. The DQA

supports conclusions that:

The sampling design performed very well and was very robust with respect to

changing conditions.

Sufficient samples were taken to enable the reviewer to see an effect if it were

present.

Data on the performance of the pH sensors are unambiguous, and the vendors and

buyers can make informed choices about the performance of a sensor with a high

level of certainty.

REFERENCES

American National Standards Institute and American Society for Quality Control (ANSI/ASQC).

2004. Quality Systems for Environmental Data Collection and Environmental Technology

Programs: Requirements with Guidance for Use. E4-2004. Milwaukee, WI.

Culberson, C.H. 1981. Direct potentiometry, in: Whitfield, M., and Jagner, D. (Eds.), Marine

Electrochemistry: a Practical Introduction. Wiley, pp. 187–261.

Dickson, A.G., Sabine, C.L. and Christian, J.R. (Eds.) 2007. Guide to Best Practices for Ocean

CO2 Measurements. PICES Special Publication 3:191.

Easley R.A. and Byrne, R.H. 2012. Spectrophotometric calibration of pH electrodes in seawater

using purified m-cresol purple. Environmental Science and Technology 46:5018-5024.