A methodology to assure measurement data quality for key engineering materials

Su, Ying and Huang, Jinghua and Al-Hakim, Latif (2010) A methodology to assure measurement data quality for key engineering materials. Advanced Materials Research, 108-11 (1). pp. 972-978. ISSN 1022-6680

Abstract

Purpose – Only limited attention has been paid to the issue of Measurement Data Quality (MDQ) in a metrology context. To address this critique of the literature a methodology to assure MDQ was proposed. Methodology – The study proposes a methodology which consists of four steps can be used to 1 identify the importance of a measurement (identification), 2 determine accuracy and precision (determination), 3 evaluate the criticality of the measurement to its impact on the final result (evaluation) and 4 record the facts that influenced the decision making process (documentation). Findings –When followed and properly documented, these four steps can help ensure our measurements are valid and worthwhile. Identifying the important measurements that are made, determining the level of accuracy required and then using the proper tools to make the measurements will yield valid, useful results.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author version not held.
Depositing User: Dr Latif Al-Hakim
Faculty / Department / School: Historic - Faculty of Business - School of Management and Marketing
Date Deposited: 16 Jan 2011 05:03
Last Modified: 04 Sep 2014 05:10
Uncontrolled Keywords: accuracy; precision; data quality; decision making process
Fields of Research (FOR2008): 09 Engineering > 0912 Materials Engineering > 091299 Materials Engineering not elsewhere classified
15 Commerce, Management, Tourism and Services > 1503 Business and Management > 150313 Quality Management
08 Information and Computing Sciences > 0804 Data Format > 080403 Data Structures
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: doi: 10.4028/www.scientific.net/AMR.108-111.972
URI: http://eprints.usq.edu.au/id/eprint/9391

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