Conceptual Data Modelling: an empirical study of expert and novice data modellers

This study explores the differences between conceptual data models designed by expert and novice data modelling practitioners. The data models are evaluated using a number of quality factors synthesised from previous empirical studies and frameworks for quality in conceptual modelling. This study ex...

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Main Author: Graeme Shanks
Format: Article
Language:English
Published: Australasian Association for Information Systems 1997-05-01
Series:Australasian Journal of Information Systems
Subjects:
Online Access:http://journal.acs.org.au/index.php/ajis/article/view/360
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spelling doaj-7dbd89d8e99045498d6d4a6a89afaa9b2021-08-02T12:44:12ZengAustralasian Association for Information SystemsAustralasian Journal of Information Systems1449-86181449-86181997-05-014210.3127/ajis.v4i2.360315Conceptual Data Modelling: an empirical study of expert and novice data modellersGraeme ShanksThis study explores the differences between conceptual data models designed by expert and novice data modelling practitioners. The data models are evaluated using a number of quality factors synthesised from previous empirical studies and frameworks for quality in conceptual modelling. This study extends previous studies by using practitioners as participants and using a number of different quality factors in the evaluation. The study found that data models produced by expert data modellers are more correct, complete, innovative and flexible than those produced by novices. The results suggest that further research into the aspects of expertise that lead to such differences and how training courses can narrow the gap between expert and novice performance is required.http://journal.acs.org.au/index.php/ajis/article/view/360conceptual modelsdata modelsqualitative evaluation
collection DOAJ
language English
format Article
sources DOAJ
author Graeme Shanks
spellingShingle Graeme Shanks
Conceptual Data Modelling: an empirical study of expert and novice data modellers
Australasian Journal of Information Systems
conceptual models
data models
qualitative evaluation
author_facet Graeme Shanks
author_sort Graeme Shanks
title Conceptual Data Modelling: an empirical study of expert and novice data modellers
title_short Conceptual Data Modelling: an empirical study of expert and novice data modellers
title_full Conceptual Data Modelling: an empirical study of expert and novice data modellers
title_fullStr Conceptual Data Modelling: an empirical study of expert and novice data modellers
title_full_unstemmed Conceptual Data Modelling: an empirical study of expert and novice data modellers
title_sort conceptual data modelling: an empirical study of expert and novice data modellers
publisher Australasian Association for Information Systems
series Australasian Journal of Information Systems
issn 1449-8618
1449-8618
publishDate 1997-05-01
description This study explores the differences between conceptual data models designed by expert and novice data modelling practitioners. The data models are evaluated using a number of quality factors synthesised from previous empirical studies and frameworks for quality in conceptual modelling. This study extends previous studies by using practitioners as participants and using a number of different quality factors in the evaluation. The study found that data models produced by expert data modellers are more correct, complete, innovative and flexible than those produced by novices. The results suggest that further research into the aspects of expertise that lead to such differences and how training courses can narrow the gap between expert and novice performance is required.
topic conceptual models
data models
qualitative evaluation
url http://journal.acs.org.au/index.php/ajis/article/view/360
work_keys_str_mv AT graemeshanks conceptualdatamodellinganempiricalstudyofexpertandnovicedatamodellers
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