Saint, R; Duncan, P (2024) Data Modelling Good Practice Guide. NPL Report. MS 53
|
Text (NPL Report MS 53)
MS53.pdf - Published Version Download (2MB) | Preview |
Abstract
This document is intended as an introductory guide for those within NPL, and external partners, who are looking to design a data model which best represents the type of work they conduct and aligns to the organisation’s goal of becoming a digital national measurement institute (D-NMI)
The aim of this guide is 1) to start a discussion as to what data modelling means for NPL, 2) to provide a template to build a data model for measurement and business data, and 3) to discuss case examples of data modelling within the organisation.
Item Type: | Report/Guide (NPL Report) |
---|---|
NPL Report No.: | MS 53 |
Keywords: | Data Modelling, Information management, knowledge representation |
Subjects: | Mathematics and Scientific Computing > Modelling |
Divisions: | Data Science |
Identification number/DOI: | 10.47120/npl.MS53 |
Last Modified: | 05 Sep 2024 08:14 |
URI: | http://eprintspublications.npl.co.uk/id/eprint/9994 |
Actions (login required)
![]() |
View Item |