Data Modeling: Theory and Practice Book

Introduction     1
Introduction     3
The starting point     3
Conflicting views     5
Importance of the distinction     7
Clarifying the question     11
Overview of research design     18
Organization of the book     19
Theory     23
Definitions of design and data modeling     25
Design in information systems     25
Definitions of design     27
Definitions of data modeling     30
Beliefs about the database design process     33
A model of the database design process     34
Interaction with the UoD     40
Requirements analysis     42
Conceptual data modeling     44
View integration     52
Logical data modeling     54
Physical database design     57
External schema specification     58
Process modeling     59
Beliefs from end-to-end     60
Comparison with Lawson's model     63
Lawson's characteristics of design     63
Problem     63
Process     68
Product     76
Summary and review     87
Studies of human factors in data modeling     89
The gold standard     90
Industry participation     91
Problem complexity     92
Focus of the studies     92
Generalizing the findings     93
Summary     94
What the thought-leaders think     95
Introduction     95
Design and method     96
Participants     98
Results     100
Discussion     117
Practice     121
Research design     123
Introduction     123
Research question and sub-questions     123
Research design - overview     125
Data collection and management     132
Use of statistics     136
Participants     140
Scope and stages     147
Introduction     147
Research design     148
Measures     149
The Scope and Stages questionnaire     151
Method     153
Sample     158
Results     158
Discussion and conclusions     176
How practitioners describe data modeling      183
Introduction and objectives     183
Research design     184
Method     185
Sample     187
Results     188
Discussion     194
Characteristics of data modeling     197
Introduction and objectives     197
Research design     198
Measures     198
The Characteristics of Design questionnaire     202
Method     203
Samples     205
Results     206
Analysis by property     215
Discussion and conclusions     222
Diversity in conceptual data modeling     225
Objectives and approach     225
Research design     226
Measures     227
Materials     232
Method     234
Samples     238
Results     239
Coda: The real-world solution     255
Discussion     256
Diversity in logical data modeling     265
Objectives and approach     265
Research design     267
Assessment of diversity     268
Materials     270
Method     271
Samples      274
Results     275
Discussion     292
Style in data modeling     303
Objectives and approach     303
Research design: An indicator of style     304
Measures     306
Materials     307
Method     308
Samples     310
Results     311
Discussion     320
Synthesis and conclusions     323
Synthesis and conclusions     325
Introduction     325
Answering the sub-questions     326
An alternative perspective     339
Generalizing the findings     341
Implications     343
Research directions     350
References, Appendix & Index     355
References     357
Studies of human factors in data modeling     381
Index     395