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Join ANAB for the “Introduction to Data Validation” online training course, delivered through Mindflash.
Participants in this course will review requirements for performing data validation for environmental projects. Data generated by sampling and measurement organizations or testing laboratories often require validation of method performance and application to project specific requirements. The presentation reviews various reasons and procedures a third party uses to perform data validation.
The objective of data validation and reporting procedures is to present the end user with a clear understanding of the quality and limitations of the data generated. The understanding of data validation provides data users with items to consider during the planning stages of a project.
Some guidance applies only to chemical analytical data provided by the laboratory and not to data collected from field sampling measurements like pH and conductivity bioassay or microbiological methods. This training includes validation of field activities including sampling and testing for both field measurement and fixed laboratory.
This introduction presents general types of validation techniques and presents how to validate a data package. The introduction reviews common terms and tools used by data validators. No data package is reviewed.
After payment for the training is processed, you will receive an email message asking for your preferred start date and we will send you access to the training for five calendar days. Once you begin the training, you will be able to open and close the session as often as you like within those five calendar days. The training will take approximately six hours to complete. An attendance certificate will be emailed upon completion.
Cost: $150 per person
The ANAB Data Package Validation will be offered if more than ten students request one of the following topics.
The Data Package Validation requires the student to prepare a validation report for the identified technology using method and project specific information. The instructor will compile the student information and present the outcome of the practical exercise during the webinar. To request a data package review course, send email to email@example.com.