Measuring the economic benefit from R&D: results from the mass, length and flow programmes of the UK national measurement system

1996 ◽  
Vol 26 (1) ◽  
pp. 5-15 ◽  
Author(s):  
Jeremy A. Klein ◽  
Edward P. Stacey ◽  
Christopher J. Coggill ◽  
Mick McLean ◽  
May I. Sagua
Proceedings ◽  
2020 ◽  
Vol 55 (1) ◽  
pp. 12
Author(s):  
Victoria Hilborne ◽  
Anna Roffey

The master’s degree in Applied Analytical Chemistry at University College London (UCL) includes valuable teaching input from the UK National Measurement Laboratory for Chemical and Bio-Measurement hosted at LGC. The course starts by introducing accuracy, sensitivity, specificity, trueness, and precision for validating analytical chemistry measurement methods. The principles of proficiency tests, quality control, ruggedness, and associated statistics are practiced using a wide variety of case studies.


1976 ◽  
Author(s):  
William C Haight ◽  
P S Klebanoff ◽  
Fillmer W Ruegg ◽  
Gershon Kulin

2020 ◽  
Vol 93 (1109) ◽  
pp. 20190574
Author(s):  
Nadia A. S. Smith ◽  
David Sinden ◽  
Spencer A. Thomas ◽  
Marina Romanchikova ◽  
Jessica E. Talbott ◽  
...  

Healthcare is increasingly and routinely generating large volumes of data from different sources, which are difficult to handle and integrate. Confidence in data can be established through the knowledge that the data are validated, well-curated and with minimal bias or errors. As the National Measurement Institute of the UK, the National Physical Laboratory (NPL) is running an interdisciplinary project on digital health data curation. The project addresses one of the key challenges of the UK’s Measurement Strategy, to provide confidence in the intelligent and effective use of data. A workshop was organised by NPL in which important stakeholders from NHS, industry and academia outlined the current and future challenges in healthcare data curation. This paper summarises the findings of the workshop and outlines NPL’s views on how a metrological approach to the curation of healthcare data sets could help solve some of the important and emerging challenges of utilising healthcare data.


2003 ◽  
Vol 32 (6) ◽  
pp. 991-1002 ◽  
Author(s):  
Steven Bowns ◽  
Ian Bradley ◽  
Paula Knee ◽  
Fiona Williams ◽  
Geoffrey Williams

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