Quality Assurance Tools (QAT) for Data, Software and Guidelines
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Live version 1.0.0, released 11/08/2025

Main Authors
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Keith Lines, National Physical Laboratory, UK
Jean-Laurent Hippolyte, National Physical Laboratory, UK
Indhu George, National Physical Laboratory, UK

Contact Mathmet@euramet.org


1. DISCLAIMER
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No representation is made, nor warranty given that this document or the
information contained in it will be suitable for any particular purpose.
In no event shall EURAMET, the authors or anyone else involved in the creation
of the document be liable for any damages whatsoever arising out of the use
of the information contained herein. The parties using the Quality Assurance Tools (QAT)
shall indemnify EURAMET accordingly.


2. Further Details
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For further details and any comments please contact Mathmet@euramet.org


3. Version Details
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Live version 1.0.0 of the Quality Assurance Tools consists of:

  1) Data Quality Assurance Plan v1.0.0
     Data Quality Assurance Plan Guide v1.0.0

  2) SW Quality Assurance Plan v1.0.0
     SW Quality Assurance Plan Guide v1.0.0

  3) Checklist for Existing Guidelines v1.0.0
     Checklist for Future Guidelines v1.0.0


4. HOW TO USE
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1) Download required PDFs or MS-Word documents.

2) For data and software, the guidance documents
   should be stored in the same folder as the
   templates.

3) The plans and templates contain instructions
   and related guidance documents that will help
   with completion.

4) The data and software PDFs require permission
   to execute JavaScript. Please confirm that your
   organisation's IT department permits the use
   of PDFs containing JavaScript.


5. Acknowledgements
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The European Metrology Network for Mathematics and Statistics was
supported by the Joint Network Project ‘Support for a
European Metrology Network for mathematics and statistics’ (18NET05 MATHMET). 
The project 18NET05 MATHMET has received funding from the
EMPIR programme co-financed by the Participating States and from the
European Union’s Horizon 2020 research and innovation programme.

The Mathmet quality assurance tools were developed further by the
National Physical Laboratory’s Data Science department as part of
Data Science’s software and data quality assurance for metrology
(NMS) project 2024 – 2025.