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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Australasian Association for Information Systems
1997-05-01
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Online Access: | http://journal.acs.org.au/index.php/ajis/article/view/360 |
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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 |
_version_ |
1721232300988956672 |