DATA METROLOGY FOR LIFE SCIENCES, MEDICINE AND PHARMACEUTICAL MANUFACTURING289 KB

In many disciplines, such as physics and engineering, the application of tools to support data metrology is encouraged and embedded in many processes and applications while in the life sciences, medicine and pharmaceutical manufacturing sectors these tools are often added as an afterthought, if considered at all. The use of datadriven decision making and the advent of machine learning in these industries has created an urgent demand for harmonised high-quality, instantly available, datasets across domains. The Findable, Accessible, Interoperable, Reproducible principles are designed to improve overall quality of research data. However, this alone does not guarantee that data is fit-forpurpose. Issues such as missing data and metadata, insufficient knowledge of measurement conditions or data provenance are well known and can be aided by applying metrological concepts to data preparation to increase confidence. This work presents the data metrology projects conducted by the National Physical Laboratory Data Science team in healthcare applications.