ENBIS Webinar: A Quality Management System for data, software, and guidelines developed by MathMet
A Quality Management System for data, software, and guidelines developed by MathMet
Speaker: Keith Lines, Data Science Department, National Physical Laboratory UK
Date: 18th October 2022, at 12:00-13:00 CEST
The European Metrology Network for Mathematics and Statistics (MathMet) brings together expertise from European National Metrology institutes (NMIs) and Designated Institutes (DIs) in applied mathematics, statistics, and computational tools.
An overview will be presented of a quality management system (QMS), developed by MathMet. This QMS will help ensure that data sets, software and guidelines on which MathMet will rely are of a sufficient level of quality. Questions such as the following will be considered: What does “quality” mean in the context of MathMet? / What are the reasons quality must be taken seriously? / What would be a good way of taking a practical approach to addressing these issues? / Can a QMS provide a way to help ensure consistency of results and thereby ease the “reproducibility crisis”?
Examples of quality plans will be provided. It is hoped that some lively discussion will be generated.
Bio:
Keith Lines works in NPL’s Data Science Department on a variety of software development and quality projects. He has also applied experience gained in over 30 years of working with NPL's scientists, administrators and support staff to help ensure that NPL software development activities continue to meet the requirements of NPL's ISO 9001 and TickITplus certifications. He is a member of the British Computer Society and has recently joined the International TickITplus association.
