Acceptable 377
Acceptable data availability 377
Criteria 377
Acceptable data characteristic variation 275
Acceptable data culture variability 386
Acceptable data reference set variation 275
Acceptable data resource variability 115
Acceptable variability 115
Accuracy 101
Accurate data definition principle 97
Acquired data 406
Actual data redundancy 260
Actual data resource scope 381
Adequate 379
Adequate data accessibility principle 378
Adequate data protection principle 378
Adequate data responsibility 379
Criteria 379
Aggregated data 166, 250
Aggregated data inventory 201
Agility 209
Alias data name 94
All-inclusive data inventory principle 150
Alternate foreign key 278
Alternate primary key 277
Anthropic principle 30
Apparent data redundancy 260
Application acquisition 405
Application alignment principle 100
Application data transformation 334
Strong 334
Weak 334
Application program 252
Application program inventory 199
Appropriate 383
Appropriate data recognition 383
Criteria 384
Appropriate data use principle 378
Appropriate detail principle 100
Archeology 51
Architected data 76
Architecture (data) 33
Architecture (general) 33
Artifact 151
Attitudes 37, 407
Attribute 90
Availability heuristic 24
Big behemoth 58
Borgesian nightmare 23
Broker 335
Brute-force-physical 21, 59, 408
Building code analogy 82
Business 2
Business activity disparity 410
Business driven data resource 76
Business event 88
Business event group 89
Business event happening 89
Business inclusion principle 376
Business information demand 2
Business intelligence 28
Business Intelligence Value Chain 28
Business involvement 415
Business key 277
Business object 88
Business object existence 88
Business object group 89
Business orientation principle 376
Buusiness feature 88
Candidate data integrity rule 282, 317
Candidate foreign key 278
Candidate primary key 277
Canonical synthesis 2
Centralized control principle 380
Change documentation principle 152
Change over time criteria 318
Chen, Peter 2
Citizen Relationship Management 21
Class word 94
Codd, Edgar F. 2
Coded data codes 133
Cognitive dissonance 30
Cohesive 64
Cohesive data culture 65, 370
Cohesive data culture state 70, 373
Combined data 91
Combined data characteristic 126
Combining data files with types 246
Common data architecture 52
Adjustment 256, 268
Enhancement 255, 268
Review 258
Variation 283
Common Data Architecture 51, 74, 116
Scope 77
Common data architecture adjustment 293
Common data architecture adjustment principle 212
Common data architecture reference principle 116
Common data culture 65, 371
Common Data Culture 65, 370, 386
Common words 222, 233
Common-to-common cross-reference 217
Common-to-common data translations 286
Common-to-physical data translations 286
Communication theory 31
Comparate 25
Comparate data 25
Comparate data application 334
Comparate data cycle 28
Comparate data resource 25, 272
Comparate data resource state 63
Comparate data resource vision 35
Complete data documentation principle 105
Complete historical data occurrence 123
Complete occurrence data record 122
Complete set of data codes 132
Complete subject data file 120
Complex 7
Complex structured data 7, 168, 202, 252
Comprehensive 96
Comprehensive data definition 96
Concept 96
Criteria 96
Concept 29
Conprehensive data definition 96
Data cross-reference 205
Data culture integration 64
Data culture survey 389
Data culture transformation 398
Data inventory 146
Data model 83
Data product 148
Data resource integration 50
Data resource transformation 330
Data sharing 74
Five-Tier Five-Schema 83
Preferred data architecture 266
Preferred data culture 393
Concordant 43
Concordant data resource management 43
Conditional data source rule 280
Conditional data sourcing 280, 312
Conditional data structure rule 85
Conditional data value 85
Connotative meaning 97
Consistent characteristic data item 127
Constant change 17
Continuous enhancement principle 151, 211
Contrarian thinking 44
Cooperative development principle 382
Criteria
Acceptable data availability 377
Adequaute data responsibility 379
Appropriate data recognition 384
Change over time 318
Comprehensive data definition 96
Data product code cross-reference 244
Data product set cross-reference 235
Data product unit cross-referencing 237
Data source rule 313
Expanded data vision 382
Formal data name 93
Precise data integrity rule 102
Preferred data characteristic variation 295
Preferred data reference set variation 300
Preferred foreign key 310
Preferred primary key 306
Proper data structure 99
Reasonable data orientation 375
Robust data documentation 105
Critical mass principle 108
Cross-reference
Data product code 224
Data product set 223
Data product unit 223
Cross-walking 206
Cultural variability 115
Culture 34, 370
Currency 102
Current budget principle 384
Current data definition principle 97
Current data documentation principle 106
Current data occurrence 123
Customer Relationship Management 21
Data 4
Data accuracy 101, 138, 249
Data architectnology 82
Data architecture (1) 33
Data architecture (2) 34
Data architecture quality 33
Data are a resource 10
Data are plural 9
Data attribute 90
Data availability 376
Data awareness 150
Data bridge 335, 363
Data broker 335, 363
Data brokering 335, 363
Data cardinality 134
Data characteristic 89
Data characteristic changes 258
Data characteristic source list 313
Data characteristic translation rule 286
Data characteristic variation 89, 219
Acceptable 275
Non-preferred 275
Obsolete 275
Preferred 275
Data characteristic variation list 296
Data characteristic variation translation rule 321
Data code 130
Data code inventory 193
Data code set 130
Data code variability 130, 261
Data completeness 102
Data consolidation 55
Data conversion 55
Data converter 336, 354
Data cross-reference 206
Adjustment 259
Adjustments 268
Comment 224
Concept 205
Objective 206
Data cross-walk 335
Data cross-walking 206
Data culture
Cohesive 65
Data culture (1) 34, 370
Data culture (2) 34, 370
Data culture insights 390
Data culture integration 65, 371
Concept 64, 370
Formal 66
Informal 66
Data culture practices 395
Data culture principles 371
Data culture quality 33
Data culture state
Cohesive 70
Formal 70
Fragmented 70
Data culture survey 389
Concept 389
Objective 389
Process 390
Data culture transformation 397
Concept 398
Process 398
Data culture transition 66, 371
Data culture variability 385
Acceptable 386
Explicit 386
Implicit 386
Unacceptable 386
Data culture variability principle 386
Data currentness 102
Data de-coherence 27
Data definition changes 257
Data definition inheritance principle 98
Data definition variability 118
Data deluge 15
Data deployment rule 86
Data depot 336
Data derivation See Derive data
Data derivation rule 86, 359
Data dilemma 16
Data dimension 166
Data documentation design principle 106
Data documentation variability 139
Data editing See Edit data
Data engineering 26, 35
Data entity 90
Data entity relation diagram 162
Data extract 338, 350
Data file 90
Data file inventory 187
Data file variability 119
Data file-relation diagram 161
Data governance 17, 68
Data heritage 153
Data in context 4, 80
Data instance 89, 247
Data instance inventory 190
Data instances 316
Data integration 54
Data integration key 281, 308, 337
Data integration key index 309
Data integrity 101
Data integrity failure principle 104
Data integrity rule 85, 101, 248
Candidate 282
Explicit 104
Fundamental 103
Implicit 104
Preferred 282
Data integrity rule definition principle 103
Data integrity rule edit principle 104
Data integrity rule lockout principle 104
Data integrity rule management principle 104
Data integrity rule name principle 103
Data integrity rule normalization principle 103, 283
Data integrity rule notation principle 103
Data integrity rule type principle 103
Data integrity variability 138
Data integrity violation action 86
Data integrity violation notification 86
Data inventory 146
Adjustment 256, 268
Concept 146
Enhancement 255, 268
Objective 146
Process 146
Data item 90
Data item content 128
Data item format 127
Data item inventory 190
Data item length 128
Data item variability 126, 261
Data lineage 153
Data load 342, 360
Data loading See Load data
Data mapping 206
Data migration 45, 54
Data model 83, 252
Concept 83
Inventory 198
Data name 92
Abbreviation algorithm 95
Abbreviation scheme 95
Changes 257
Homonym 92
Profiling 185
Synonym 92
Variability 118
Vocabulary 222
Data name - definition synchronization principle 97
Data name abbreviation 95
Data name vocabulary 94, 259
Data naming taxonomy 94, 149
Data normalization 213
Data occurrence 89, 315
Data occurrence group 89
Data occurrence redundancy 260
Data orientation 374
Data origin 153
Data overload 9
Data ownership See Data steward
Data product 155
Concept 148
Definition 155
Model 181
Name 155
Data product code 160
Definition 161
Name 160
Value 160
Variation 160
Data product code cross-reference 224, 239
Criteria 244
Data product model 148
Data product set 156
Data product set cross-reference 223, 234
Criteria 235
Data product set definition 157
Data product set integrity rule 158
Data product set name 156
Data product set scope 157
Data product set variation 156
Data product unit 158
Data product unit cross-reference 223
Criteria 237
Data product unit cross-reference list 236, 297
Data product unit definition 159
Data product unit integrity rule 159
Data product unit name 158
Data product unit variation 158
Data profiling 184
Data property 130, 221
Data provenance 152
Data provenance principle 152
Data quality 26
Data re-architecting 58
Data recasting See Recast data
Data recasting rule 341, 358
Data recognition 382
Data reconstruction See Reconstruct data
Data reconstruction rule 340, 355
Data record 90, 247
Data record group 90
Data record inventory 188
Data rederivation rule 86
Data redundancy 13, 124, 259
Actual 260
Apparent 260
First level 125
Second level 125
Data redundancy factor 13
Data reengineering 57
Data reference item 221
Data reference item list 240, 300
Data reference item matrix 301
Data reference item translation rule 287, 324
Many-to-many 287
One-to-many 287
One-to-one 287
Data reference set 220
Data reference set variation 220, 239
Acceptable 275
Non-preferred 275
Obsolete 276
Preferred 275
Data refining 58
Data registries 405
Data relation 134, 164
Data relation variability 133
Data replication 13, 124
Data resource 4
Comparate 272
Disparate 6
Data resource agility principle 210
Data resource anthropic principle 30
Data resource data 87
Data resource data aspect principle 105
Data resource direction 381
Data resource discovery principle 107
Data resource drift 14
Data resource evolution 196
Data Resource Guide 35, 77, 83, 87
Data Resource Guide principle 106
Data resource hazard 24
Data resource horizon 381
Data resource iatrogenesis principle 30
Data resource information 87
Data resource information demand 87
Data resource integration 53, 79
Concept 50
Formal 52
Informal 52
Process 109
Data resource management 4
Data Resource Management Framework 32
Data resource management integration 43
Data resource management transition 43
Data resource precautionary principle 30
Data resource probability neglect 24
Data resource quality 26
Proactive 26
Retroactive 26
Ultimate 26
Data resource scope 381
Actual 381
Preferred 381
Data resource state
Comparate 63
Disparate 62
Formal 62
Virtual 63
Data resource transformation 330
Concept 330
Objective 331
Data resource transition 54
Data resource variability
Acceptable 115
Unacceptable 115
Data resource variability principle 115
Data responsibility 378
Data restructuring See Restructure data
Data reviewing See Review data
Data rule 85
Data rule version principle 103
Data scanning 182
Data selection rule 86
Data sharing concept 74
Data source rule 280, 312, 316
Conditional 280
Unconditional 280, 312
Data source rule criteria 313
Data standards 405
Data steward 380
Detail 380
Strategic 380
Tactical 380
Data stewardship principle 379
Data structure 98
Data structure components principle 99
Data structure integration principle 100
Data structure rule 85
Data structure uniformity principle 100
Data structure variability 119
Data subject 89, 218
Data subject changes 257
Data subject thesaurus 221, 233, 258
Data subject variation 218
Data tracking 153
External 153
Internal 153
Data transform 339, 355
Data transformation 331, 349
Formal 331
Forward 331
Informal 331
Reverse 331
Data transformation rule 334
Explicit 334
Implicit 334
Data translation See Translate data
Data translation principle 284
Data translation rule 86, 284, 320, 357
Data characteristic 286
Data reference item 287
Foreword 285
Fundamental 285
Non-preferred 285
Preferred 285
Reverse 285
Specific 285
Data translations
Common-to-common 286
Common-to-physical 286
Physical-to-physical 286
Data understanding 267
Data value rule 85
Data variability 14
First dimension 139
Second dimension 139
Third dimension 140
Data variability factor 14
Data variation 114
Data vision 380
Data volume breadth 78
Data volume depth 78
Database conversion 55
Database inventory 186
Database merge 55
Data-information-knolwedge cycle 11
Default data values 365
Definition 95
Delimeters 129
Denotative meaning 97
Denotative meaning principle 97
Depot 336
Derive data 342, 359
Derived data 91
Descriptive 45
Detail data steward 380
Deterministic 46
Diminishing returns 47
Discordant 43
Discordant data management See Discordant data resource management
Discordant data resource management 43
Discovery process 47
Disparate 6
Disparate data 6
Disparate data application 334
Disparate data architecture 270
Disparate data codes 133
Disparate data cycle 14
Disparate data definition 149
Enhanced 149
Existing 149
Disparate data file 120
Disparate data instance 124
Disparate data integrity rule 149
Explicit 149
Implicit 150
Disparate data item 127
Disparate data name 148
Explicit 148
Implicit 148
Disparate data record 122
Disparate data resource 6
Disparate data resource state 62
Disparate data resource variability 114
Explicit 114
Implicit 114
Disparate data shock 16
Disparate data spiral 14
Disparate data structure 149
Explicit 149
Implicit 149
Disparate data understanding principle 117, 150, 207
Disparate foreign key 136
Disparate information 9
Disparate primary key 135
Documentation known to exist principle 106
Edit data 343, 360
Effective data cross-referencing principle 210
Effectiveness 47
Efficiency 47
Einstein, Albert 48, 79, 150
Elemental data 91
Elemental data characteristic 126
Elephant syndrome 80
Engineering
Data 26
Information 26
Enhanced disparate data definition 149
Enterprise 1
Enterprise architecture 270
Enterprise data architecture 270
Entity 90
Entity - mathematics 89
Entity set - mathematics 89
Entropy 25
E-R diagram See Entity-relation diagram
Evaluational data 364
Event horizon of disparity 403
Excuses 413
Existing disparate data definition 149
Expanded 381
Expanded data vision 381
Expanded data vision criteria 382
Expect anything principle 116
Explicit data culture variability 386
Explicit data integrity rule 104
Explicit data transformation rule 334
Explicit disparate data integrity rule 149
Explicit disparate data name 148
Explicit disparate data resource variability 114
Explicit disparate data structure 149
Explicit knowlege 5
External data tracking 153
Extract source data 339, 353
Fabricius, J.C. 92
Farsighted planning horixon 381
Final common data architecture 217
First dimension of data variability 139
First level of data redundancy 125
Five-Tier Five-Schema concept 83
Five-Tier Five-Schema orientation principle 376
Fixed data hierarchy 166
Fixed format data item 127
Fixed format data tiem 127
Fixed length data item 128
Foreign key 136, 163, 247
Alternate 278
Candidate 278
Limited 278
Obsolete 278
Preferred 278
Foreign key list 311
Formal 93
Formal data culture integration 66, 371
Formal data culture state 70, 373
Formal data name 93
Formal data name abbreviation 95
Formal data name criteria 93
Formal data resource integration 52
Formal data resource state 62
Formal data transformation 331
Formal data transformation principle 332
Formal knowledge 5
Forward data transformation 331, 361
Forward data translation rule 285, 320
Fragmented 64
Fragmented data culture 370
Fragmented data culture state 70, 373
Framework
Data Resource Management 32
Zachman 33, 85
Functional dependency profiling 185
Fundamental data 91
Fundamental data definition 98
Fundamental data definition inheritance 98
Fundamental data integrity rule 103
Fundamental data translation rule 285, 322
Gaining respect 409
General data cardinality 134
General information 8
Generic data architectures 404
Generic data structure principle 100
Going out of business 413
Golf course decisions 408
Graph theory 31
Hazard 24
Hidden data code hierarchy 133
High data redundancy 13
High data variability 13
Historical data instances 355
Historical data occurrence 123
Horizon 381
Horizontal phased approach 177
Human data profiling 185
Huxley, Aldous 80
Hype-cycle 17, 406
Iagrogenesis 30
Identify source data 351
Identify target data 338, 350
Implicit data culture variability 386
Implicit data integrity rule 104
Implicit data transformation rule 334
Implicit disparate data inegrity rule 150
Implicit disparate data name 148
Implicit disparate data resource variability 114
Implicit disparate data structure 149
Implicit knowledge 5
Imprecise 101
Imprecise data integrity rule 101
Improper 98
Improper data structure 98
Inadequate 378
Inadequate data responsibility 378
Inappropriate 383
Inappropriate data recognition 383
Incorrect data definition 96
Incorrect data name 93
Incrementally cost effective principle 384
Informal 92
Informal data culture integration 66, 371
Informal data name 92
Abbreviation 93
Informal data resource integration 52
Informal data transformation 331
Information 5, 8
Semantic 31
Syntactic 31
Information assimilation overload 9
Information engineering 26
Objective 26
Information integration 55
Information management 5
Information overload 9
Information paranoia 9
Information quality 26
Information sharing 9
Initial common data architecture 225, 231
Integrate 43
Integrated data culture 66, 371
Integrated data resource 54
Integration 43
Integrity 100
Intelligence 28
Intelligent key See Business key
Interim common data architecture 217, 253
Interim common data architecture principle 210
Internal data tracking 153
Inventory 146
Just in time comparate data 63
Just in time data transformation 63
Knowledge 5
Explicit 5
Formal 5
Implicit 5
Organizational 5
Tacit 5
Knowledge areas 20
Knowledge base principle 384
Knowledge management 5
Lack of awareness 12
Lack of business perspective 20
Lack of understanding 13
Leaping broad chasms 82
Lessons learned principle 385
Lexical challenge 3, 406
Limited data documentation 104
Limited foreign key 278
Limited primary key 277
Lineage 153
Linneaus, Carl 92
Listen to business 409
Load data 344, 360
Logical data relation 134
Malthusian principle 15
Management
Data resource 4
Information 5
Knowledge 5
Many-to-one data reference item translation rule 287
Mapping 206
Massively disparate data 6
Master Data Management 18
Meaningful data definition principle 97
Meaningless data definitons 95
Meaningless data name 92
Merge 54
Migration 44
Missing data 365
Multile file data subject 121
Multiple characteristic data item 128
Multiple data characteristic 127
Multiple data documentation sources 404
Multiple data models 404
Multiple fact data field 93
Multiple occurrence data record 123
Multiple preferred data designations 283, 318
Multiple property data code 131
Multiple subject data code 131
Multiple subject data file 120
Multiple subject set of data codes 132
Nearsighted planning horizon 381
New technology syndrome 22
No blame - no whitewash principle 385
Non-architected data 76
Non-business key 277
Non-existent data definitions 95
Non-information 9
Non-preferred data characteristic variation 275
Non-preferred data designation 273
Non-preferred data reference set variation 275
Non-preferred data translation rule 285, 320
Non-redundant data documentation principle 106
Non-unique data name 92
Objective
Data cross-reference 206
Data culture survey 389
Data inventory 146
Data resource transformation 331
Preferred data architecture 266
Preferred data culture 394
Obsolete data characteristic variation 275
Obsolete data reference set variation 276
Obsolete foreign key 278
Obsolete primary key 277
Occam’s Razor 79
One-to-many data reference item translation rule 287
One-to-one data reference item translation rule 287
Opportunistic principle 385
Opt for detail principle 151, 181
Organization 1
Organization agility principle 209
Organization perception principle 76, 208
Organization umwelt principle 208
Organizational knowledge 5
Organizational orientaton 37
Orientation 374
Outdated data definitions 95
Overly optimisttic horizon 381
Paralysis-by-analysis 21
Partial characteristic data item 129
Partial data occurrence 123
Partial historical data occurrence 123
Partial occurrence data record 122
Partial set of data codes 132
Partial subject data file 120
Partially architected data 76
Physical data relation 134
Physical key 278
Physical-to-physical data translations 286
Pragmatics 31
Precautionary principle 30
Precise 101
Precise data integrity rule 101
Precise data integrity rule criteria 102
Predictive analysis 167
Predictive data 167, 251
Predictive data inventory 202
Preferred 265
Preferred data 265
Preferred data architecture 265
Concept 266
Logical 271
Objective 266
Physical 272
Process 266
Preferred data architecture adjustment 320
Preferred data architecture principle 267
Preferred data characteristic name 299
Preferred data characteristic variation 275, 295
Criteria 295
Preferred data culture
Concept 393
Documentation 395
Objective 394
Process 394
Preferred data definition 274, 294
Preferred data designation 273
Adjustments 268
Preferred data integrity rule 282, 317
Preferred data key 304
Preferred data name 294
Logical 273
Physical 274
Preferred data reference set name 303
Preferred data reference set variation 275, 299
Criteria 300
Preferred data relation 278, 311
Preferred data resource scope 381
Preferred data source 279, 312
Preferred data subjects 304
Preferred data template 284, 327
Preferred data translation rule 285, 320
Preferred foreign key 278
Criteria 310
Preferred foreign key principle 278
Preferred logical data architecture 271
Preferred logical data name 273
Preferred physical data architecture 272, 326
Preferred physical data name 274
Preferred primary key 277
Criteria 306
Preferred primary key list 304
Preferred primary key principle 276
Preferrred data culture 393
Prescriptive 45
Presumed data culture variability principle 386
Presumed data resource variability principle 115
Primary data name 94
Primary data name abbreviation principle 94
Primary data name principle 94
Primary key 134, 163, 247
Alternate 277
Candidate 277
Limited 277
Obsolete 277
Preferred 277
Range of uniqueness 305
Primary key matrix 305
Primitive data 91
Principle 29
Accurate data definition 97
Adequate data accessibility 378
Adequate data protection 378
All-incluusive data inventory 150
Anthropic 30
Application alignment 100
Appropriate data use 378
Appropriate detail 100
Business inclusion 376
Business orientation 376
Centralized control 380
Change documentation 152
Common data architecture adjustment 212
Common data architecture reference 116
Complete data documentation 105
Continuous enhancement 151
Cooperative development 382
Critical mass 108
Current budget 384
Current data definition 97
Current data documentation 106
Data culture variability 386
Data definition inheritance 98
Data documentation design 106
Data integrity failure 104
Data integrity rule definition 103
Data integrity rule edit 104
Data integrity rule lockout 104
Data integrity rule management 104
Data integrity rule name 103
Data integrity rule normalization 103
Data integrity rule notation 103
Data integrity rule type 103
Data name - definition synchronization 97
Data provenance 152
Data resource agility 210
Data resource anthropic 30
Data resource data aspect 105
Data resource discovery 107
Data Resource Guide 106
Data resource precautionary 30
Data resource variability 115
Data rule version 103
Data stewardship 379
Data structure components 99
Data structure integration 100
Data structure uniformity 100
Data translation 284
Denotative meaning 97
Disparate data understanding 117
Documentation known to exist 106
Effective data cross-referencing 210
Expect anything 116
Five-Tier Five-Schema 376
Formal data transformation 332
Generic data structure 100
Incrementally cost effective 384
Interim common data architecture 210
Knowledge base 384
Lessons learned 385
Malthusian 15
Meaningful data definition 97
No blame - no whitewash 385
Non-redundant data documentation 106
Opportunistic 385
Opt for detail 151
Organization agility 209
Organization perception 76
Organization umwelt 208
Precautionary 30
Preferred data architecture 267
Preferred foreign key 278
Preferred primary key 276
Presumed data culture variability 386
Presumed disparate data resource variability 115
Primary data name 94
Primary data name abbreviation 94
Privacy and confidentiality 378
Proof positive 385
Proper balance 378
Proper sequence 100
Readily available data documentation 106
Realistic planning horizons 382
Reasonable development direction 382
Reasonable management procedures 380
Simplicity 79
Single data architecture 376
Structurally stable - business flexible 100
Teamwork synergy 376
Technically correct - culturally acceptable 100
Think globally - act locally 29
Thorough data definition 97
Thorough underatanding 27
Understandable data documentation 106
Unnecessary justification 385
Vested interest 384
Wider scope 382
Principle of delayed change 30
Principle of gradual change 30
Principle of independent architecture 28
Principle of intended consequences 30
Principle of unintended consequences 30
Privacy and confidentiality principle 378
Proactive data resource quality 26
Probabalistic 46
Probability neglect 24
Product-to-common cross-reference 216
Product-to-product cross-reference 215
Proof positive principle 385
Proper 99
Proper balance principle 378
Proper data structure 99
Criteria 99
Proper sequence principle 100, 376
Prospective 46
Provenance 152
Public sector 20
Quality 25
Data architecture 33
Data culture 33
Quick fixes 408
Raw data See Data
Readily available data documentation principle 106
Realistic development direction principle 382
Realistic planning horizons principle 382
Reasonable 375
Reasonable data orientation 375
Criteria 375
Reasonable management procedures principle 380
Recast data 341, 358
Recognition 382
Reconstruct data 340, 355
Record of reference 58
Redundant 124
Redundant data 124
Redundant data items 125
Redundant historical data instances 282
Redundant physical data occuurrences 281
Relational theory 32
Remodeling analogy 81
Replication 124
Resource 4
Responsibility 378
Restructure data 341, 358
Retiring disparate data 365
Retroactive data resource quality 26
Retrospective 46
Reverse data transformation 331, 344, 361
Reverse data translation rule 285, 320
Review data 344, 361
Risk 24
Robust 105
Robust data documentation 105
Criteria 105
Rule 85
Scope 381
Scrap and rework 59
Second dimension of data variability 139
Second level of data redundancy 125
Self-contained historical data 124
Self-defeating fallacy 23
Self-fulfilling prophecy 23
Semantic information 31
Semantic integration 56
Semantics 31
Semiotic theory 31
Semiotics 31
Separate historical data 124
Set of data codes 131, 194
Set of entities - mathematics 90
Set theory 31
Shannon, Claude 2
Short data definitions 95
Silver bullet 23
Silver bullet syndrome 23
Simplicity principle 79
Single characteristic data item 127
Single data architecture principle 376
Single file data subject 121
Single occurrence data record 122
Single property data code 131
Single subject data code 131
Single subject data file 120
Single subject set of data codes 132
Source data extraction See Extract source data
Source data identification See Identify source data
Source of reference 281
Sources of insight 170
Spatial data 202
Specific data 91
Specific data cardinality 134
Specific data definition 98
Specific data definition inheritance 98
Specific data translation rule 285, 322
Specific information 8
Splitting data files 246
Start earning respect 410
Steward 379
Strategic data steward 380
Strong application data transformation 334
Structural integration 56
Structurally stable - business flexible principle 100
Structured 6
Structured data 6
Structureless data name 92
Subject-oriented data resource 76
Subordinate data occurrence 123
Suck-and-squirt 59
Summary data 166, 249
Summary data inventory 201
Survey 389
Syntactic information 31
Syntax 31
System of record 58
System of reference 58
Tacit knowledge 5
Tactical data steward 380
Target data identification See Identify target data
Taxonomy 94
Teamwork synergy principle 376
Technically correct - culturally acceptable principle 100
Technique 29
Techniques exist 414
Temporal variability 115
Theory 29
Communication 31
Graph 31
Relational 32
Semiotic 31
Set 31
Think glogally-act locally principle 29
Third dimension of data variability 140
Thorough data definition principle 97
Thorough understanding principle 27
Time relational data 169
Transforming data See Data transform
Transition 43
Data culture 66
Data resource 54
Translate data 340, 357
Ultimate data resource quality 26
Umwelt 208
Unacceptable 376
Unacceptable data availability 376
Unacceptable data culture variability 386
Unacceptable data resource variability 115
Unacceptable variability 115
Unavailable data definitions 95
Unconditional data source rule 280, 312
Understandable data documentation principle 106
Understanding 48
Universal data models 404
Unnecessary justification principle 385
Unrealistic planning horizon 381
Unreasonable 374
Unreasonable data orientation 374
Unrelated data definitions 96
Unstructured 7
Unstructured data 7
Vague 95
Vague data definition 95
Value added 46
Variability 114
Variable characteristic data item 127
Variable data hierarchy 166
Variable format data item 127
Variable length data item 128
Variable sequence data item 128
Variation 114
Vertical phased approach 178
Vested interest principle 384
Virtual data resource state 63
Vision 380, 412
Warping the business 408
Weak application data transformation 334
Wider scope principle 382
Zachman Framework 33, 85
Zachman, John 2, 106