COURSE OVERVIEW:

The meaning of this course lies in the establishment of an indubitable link between laboratory measurements and the International System of Units (SI). In the absence of metrological traceability, analytical data is essentially an island, lacking the comparability and legal defensibility required for international trade and scientific advancement. This program provides the technical mastery needed to build, maintain, and defend a comprehensive traceability chain for every testing parameter within the laboratory’s scope.

The scope of the training focuses on the rigorous methodology for data validation and the estimation of measurement uncertainty. It addresses the technical requirements for the selection and use of certified reference materials (CRMs), the management of calibration cycles, and the validation of complex analytical software. Participants will explore the statistical techniques used to verify the integrity of data, ensuring that the results produced are not only precise but also demonstrably accurate and representative of the sample.

The coverage includes a deep investigation into the "GUM" approach for uncertainty estimation and the implementation of internal quality control protocols. The course emphasizes the interpretation of calibration certificates and the calculation of "As-Found" versus "As-Left" data impact. By mastering these validation protocols, participants will be able to ensure that their laboratory data stands up to the most demanding technical audits and provides a reliable foundation for critical decision-making.

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

• Define the concept of metrological traceability and its role in ISO 17025.
• Establish an unbroken chain of traceability to the International System of Units (SI).
• Evaluate and select appropriate certified reference materials (CRMs).
• Interpret complex calibration certificates for technical adequacy.
• Calculate and report expanded measurement uncertainty.
• Implement a robust data validation protocol for analytical tests.
• Utilize statistical tools for the detection of outliers and data trends.
• Validate Excel spreadsheets and laboratory software for data integrity.
• Perform impact assessments for out-of-calibration equipment.
• Design and implement an internal calibration program for minor assets.
• Distinguish between "Verification" and "Validation" of analytical methods.
• Defend the technical integrity of laboratory data during external audits.

TARGET AUDIENCE:

This course is intended for Senior Chemists, Metrologists, Quality Assurance Officers, and Technical Managers responsible for data integrity and traceability.

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximize the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

The course participants shall be evaluated before, during, and at the end of the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.