Using software in qualitative research: a step-by-step guide
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Los Angeles [u.a.]
SAGE Publ.
2007
|
| Edition: | 1. publ. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XI, 288 S. Ill. |
| ISBN: | 9780761949220 0761949232 9780761949237 |
Staff View
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Contents
Acknowledgements xii
Rationale and Structure 1
Background I
How to use this book 2
The structure of this book 3
The Young People's Perceptions Project 3
1 Processes and Tasks in Using Qualitative Software 5
Types of software supporting work with qualitative data 6
What types of software do we categorize as CAQDAS? 6
Which is the 'best' CAQDAS package? 8
Basic functionality and aspects of work in CAQDAS: key similarities 8
Structure of work in CAQDAS packages 8
Data types and format 10
'Closeness to data' and interactivity 10
Exploring data 10
Code and retrieve functionality 10
Coding schema 11
Data organization 11
Searching and interrogating the database 11
Writing tools 11
Output 12
Making software work for your project 12
Starting points 12
Familiarization 12
What the software project represents 12
CAQDAS packages as project management tools 13
The right tools for the job 13
Flexibility in the sequencing of tasks 14
The bits in between 14
Teamwork 15
vi USING SOFTWARE IN QUALITATIVE RESEARCH
2 Data and Their Preparation for CAQDAS Packages 16
Types of qualitative data 17
Incorporating different types of data into the software project 17
Incorporating different types of data into the Young People's
Perceptions Project 19 :
Textual data preparation considerations 19
General guidelines for transcribing data 20
Transcription formats 20
Using rich text features to indicate important aspects of the data 20
Formatting structured data 21
Recognizable units of context: sentences, paragraphs and sections 21
Speaker and topic identifiers 22
What to avoid when transcribing identifiers 23
Naming and saving data files 23
Software specific textual data preparations 23
Preparing textual data for ATLAS.ti5 24
Preparing textual data for MAXqda2 26
Preparing textual data for NVivo7 28
Summary: data preparation issues 29
Comparative comments on data and their preparation for CAQDAS packages 30
3 Getting Started in Qualitative Software: Practical Tasks 32
Generic tasks: what can be done before primary data are ready? 32
Task 3.1 creating and naming the project, data files and reports 33
Task 3.2 familiarize yourself with the software 34
Task 3.3 memoing 34
Task 3.4 code creation 34
Task 3.5 experimenting with importing/assigning data 35
Task 3.6 experiment with data 35
Task 3.7 experiment with mapping tools 35
Task 3.8 use or throw away 36
Software specific variations: getting started with software 36
Exercises in ATLAS.ti5 36
Exercises in MAXqda2 44
Exercises in NVivo7 49
Summary: reviewing the process of familiarization 54
Comparative comments on getting started with the software 54
4 Exploration and Text Level Work 56
Early exploration of text 57
Technological developments and methodological debates 57
Annotation tools: their universal utility 59
CONTENTS vii
Note taking for continuity, neutrality, reflexivity and openness 59
Text search tools: their universal utility 59
The place of content based searching tools 60
Hyperlinking 60
Generic tasks: exploring data and working at the text level in software 61
Task 4.1 Using cosmetic text marking and functional text marking 61
Task 4.2 Annotating text 62
Task 4.3 Frequency counts, text searching for words or phrases 62
Task 4.4 Hyperlinking between points in the text 63
Software specific variations: exploring data and working at the text level 64
Exercises in ATLAS.ti5 64
Exercises in MAXqda2 69
Exercises in NVivo7 74
Summary: early exploration of data 78
Comparative comments on exploring data 79
5 Qualitative Coding in Software: Principles and Processes 81
What is qualitative coding? 81
How coding works in qualitative software 82
Approaches to coding 82
Generating and using codes 83
Inductive approaches to coding 84
Deductive approaches to coding 85
Combining approaches: the practice of coding using software 88
Summary: using software to support your approach to coding 89
6 Coding Schemes, Coding Frames 91
Breaking down the data, putting them back together 92
Structures of coding schemes in software 93
Hierarchical systems 93
The functioning of hierarchies in software 93
Non hierarchical systems 93
What are the benefits and disadvantages of different structures? 94
Factors which influence approaches to the development of coding schemes 95
Is 'coding scheme' the same as 'theoretical framework'? 96
Drilling down, or building up? 96
Seeing beyond the coding scheme: grouping and combining codes 97
Coding scheme predicaments 97
Working top down, feeling stuck between tramlines? 97
The 'large' coding scheme: moving on, refining? 100
Coding scheme structures in CAQDAS packages: project examples 100
Speller (2000): 'The relocation of Arkwright' 101
viii USING SOFTWARE IN QUALITATIVE RESEARCH
Rich et al. (2006): 'Video intervention/prevention assessment (VIA)' 103
Taggart et al. (2004): 'Curriculum progression in the arts' 105
Silver (2002): 'Young People's Perceptions Project' 107
Lewins (2000): 'Older people's needs assessment exercise: focus groups' 110
Gulati (2006): 'Understanding knowledge construction in online courses' 113
Summary: making the most of a coding scheme 115
Comparative comments on coding schemata in CAQDAS packages 115
i
7 Coding Tasks in Software 117
Generic tasks: generating and applying codes 118
Task 7.1 Generating codes 118
Task 7.2 Applying existing codes to text 118
Task 7.3 Defining and listing codes 118
Task 7.4 Changing your mind about how data are coded 119
Task 7.5 Reorganizing the coding schema 119
Integrating the different aspects of your work 120
Software specific variations: coding processes in software 120
Exercises in ATLAS.ti5 120
Exercises in MAXqda2 127
Exercises in NVivo7 133
Summary: getting started with coding in software 141
Comparative comments on coding functionality and processes 141
8 Basic Retrieval of Coded Data 143
Purposes and values of basic retrieval 144
Where did I get to last time? 144
Reflexivity and rigour 144
Generic tasks: retrieving coded data 145
Task 8.1 Retrieve all data coded so far 145
Task 8.2 View all codes appearing in one document 145
Task 8.3 Recode data 146
Task 8.4 Overview current coding status 146
Software specific variations: data retrieval 147
Exercises in ATLAS .ti5 147
Exercises in MAXqda2 151
Exercises in NVivo7 156
Summary: basic ways to retrieve coded data 160
Comparative comments on retrieval functionality and processes 160
9 Managing Processes and Interpretations by Writing 163
The importance of writing in conducting qualitative data analysis 164
Writing as a continuous analytic process 165
CONTENTS ix
Forms and purposes of writing 165
Field notes 165
Research journal(s) 166
Analytic or theoretical memos 166
The potential value of software writing tools 167
Generic tasks for using memos 168
Managing your memo system 169
Creating memos 169
Free standing centralized memos 169
Naming and dating memos 169
Grouping memos 170
Structuring memos 170
Integrating your writing with the rest of your project 170
Linking memos to documents 171
Linking memos to codes 171
Coding your own writing 171
Search the content of a memo 171
Outputting memos 171
Software specific memo functionality 172
Memos in ATLAS.ti5 172
Memos in MAXqda2 174
Memos in NVivo7 175
Summary: flexible writing in software 177
Comparative comments on memo functionality 178
10 Mapping Ideas and Linking Concepts 179
Theoretical models 180
Adaptive theory and the modelling process 180
Grounded theory and the mapping process 180
Mapping tools: relevant traditions 180
Mapping software packages 181
Mapping in CAQDAS packages: general purposes 181
Limits of CAQDAS mapping tools 182
Possibilities with CAQDAS mapping tools 183
Cautions 183
Generic tasks: mapping and linking 183
Software specific mapping tools 185
The networking tool in ATLAS.ti5 185
The mapping tool in M AXqda2 186
The modeller in NVivo7 190
Summary: mapping functionality 191
Comparative comments on mapping functionality 191
x USING SOFTWARE IN QUALITATIVE RESEARCH
11 Organizing Data to Known Characteristics 194
The importance of organizing qualitative data 195
Features in data which can be organized 195
Organizing qualitative data in CAQDAS packages 196
Document 'families' and 'attributes' 196
Differentiating between organizational features and 'conceptual' codes 196
Working incrementally 197
Organizing whole data files 197
Organizing parts of data files 198
Organizing case studies 199
Software specific variations: data organization 199
Exercises in ATLAS.IÍ5 199
Exercises in MAXqda2 200
Exercises in NVivo7 205
Summary, data organization functionality 208
Comparative comments on data organization 208
12 Interrogating the Dataset 209
Moving on 210
Different ways to interrogate the database 210
Filtering and simple forms of retrieval 210
Searching for content 211
Code searches as iterative, incremental and repeatable 211
Qualitative cross tabulations in the form of tables and matrices 211
Interrogating in maps 212
Changing techniques of qualitative data analysis 212
Cautions 212
Generic tasks: searching 213
Searching for content 213
Code searching 214
Generating tabular data 214
Creating signposts from searches 214
Software specific searching functions 214
Searching and interrogation tools in ATLAS.ti5 216
Searching and interrogation tools in MAXqda2 219
Searching and interrogation tools in NVivo7 223
Summary: reviewing searching and interrogation functionality 225
Comparative comments on searching and interrogating the dataset 226
13 Convergence, Closeness, Choice 227
Planning for the use of software 227
Convergence of tasks and tools: software as a container for your work 228
CONTENTS xi
Closeness to data: inside software and outside it 228
Working within your comfort zone: focused effective use of software 229
Appendix A Background and Summary of Example Projects 231
Appendix B Keyboard Shortcuts for ATLAS.ti5, MAXqda2 and NVivo7 238
Appendix C Features and Functions of Seven CAQDAS Packages 241
ATLAS.Ü5 241
HyperRESEARCH 2.6 246
MAXqda2 252
QDA Miner 2.0 257
QSR NVivo7 262
Qualms 267
Transana 2 273
Appendix D Resources and Links 279
References 281
Index 285 |
| adam_txt |
Contents
Acknowledgements xii
Rationale and Structure 1
Background I
How to use this book 2
The structure of this book 3
The Young People's Perceptions Project 3
1 Processes and Tasks in Using Qualitative Software 5
Types of software supporting work with qualitative data 6
What types of software do we categorize as CAQDAS? 6
Which is the 'best' CAQDAS package? 8
Basic functionality and aspects of work in CAQDAS: key similarities 8
Structure of work in CAQDAS packages 8
Data types and format 10
'Closeness to data' and interactivity 10
Exploring data 10
Code and retrieve functionality 10
Coding schema 11
Data organization 11
Searching and interrogating the database 11
Writing tools 11
Output 12
Making software work for your project 12
Starting points 12
Familiarization 12
What the software project represents 12
CAQDAS packages as project management tools 13
The right tools for the job 13
Flexibility in the sequencing of tasks 14
The bits in between 14
Teamwork 15
vi USING SOFTWARE IN QUALITATIVE RESEARCH
2 Data and Their Preparation for CAQDAS Packages 16
Types of qualitative data 17
Incorporating different types of data into the software project 17
Incorporating different types of data into the Young People's
Perceptions Project 19 :
Textual data preparation considerations 19
General guidelines for transcribing data 20
Transcription formats 20
Using rich text features to indicate important aspects of the data 20
Formatting structured data 21
Recognizable units of context: sentences, paragraphs and sections 21
Speaker and topic identifiers 22
What to avoid when transcribing identifiers 23
Naming and saving data files 23
Software specific textual data preparations 23
Preparing textual data for ATLAS.ti5 24
Preparing textual data for MAXqda2 26
Preparing textual data for NVivo7 28
Summary: data preparation issues 29
Comparative comments on data and their preparation for CAQDAS packages 30
3 Getting Started in Qualitative Software: Practical Tasks 32
Generic tasks: what can be done before primary data are ready? 32
Task 3.1 creating and naming the project, data files and reports 33
Task 3.2 familiarize yourself with the software 34
Task 3.3 memoing 34
Task 3.4 code creation 34
Task 3.5 experimenting with importing/assigning data 35
Task 3.6 experiment with data 35
Task 3.7 experiment with mapping tools 35
Task 3.8 use or throw away 36
Software specific variations: getting started with software 36
Exercises in ATLAS.ti5 36
Exercises in MAXqda2 44
Exercises in NVivo7 49
Summary: reviewing the process of familiarization 54
Comparative comments on getting started with the software 54
4 Exploration and Text Level Work 56
Early exploration of text 57
Technological developments and methodological debates 57
Annotation tools: their universal utility 59
CONTENTS vii
Note taking for continuity, neutrality, reflexivity and openness 59
Text search tools: their universal utility 59
The place of content based searching tools 60
Hyperlinking 60
Generic tasks: exploring data and working at the text level in software 61
Task 4.1 Using cosmetic text marking and functional text marking 61
Task 4.2 Annotating text 62
Task 4.3 Frequency counts, text searching for words or phrases 62
Task 4.4 Hyperlinking between points in the text 63
Software specific variations: exploring data and working at the text level 64
Exercises in ATLAS.ti5 64
Exercises in MAXqda2 69
Exercises in NVivo7 74
Summary: early exploration of data 78
Comparative comments on exploring data 79
5 Qualitative Coding in Software: Principles and Processes 81
What is qualitative coding? 81
How coding works in qualitative software 82
Approaches to coding 82
Generating and using codes 83
Inductive approaches to coding 84
Deductive approaches to coding 85
Combining approaches: the practice of coding using software 88
Summary: using software to support your approach to coding 89
6 Coding Schemes, Coding Frames 91
Breaking down the data, putting them back together 92
Structures of coding schemes in software 93
Hierarchical systems 93
The functioning of hierarchies in software 93
Non hierarchical systems 93
What are the benefits and disadvantages of different structures? 94
Factors which influence approaches to the development of coding schemes 95
Is 'coding scheme' the same as 'theoretical framework'? 96
Drilling down, or building up? 96
Seeing beyond the coding scheme: grouping and combining codes 97
Coding scheme predicaments 97
Working top down, feeling stuck between tramlines? 97
The 'large' coding scheme: moving on, refining? 100
Coding scheme structures in CAQDAS packages: project examples 100
Speller (2000): 'The relocation of Arkwright' 101
viii USING SOFTWARE IN QUALITATIVE RESEARCH
Rich et al. (2006): 'Video intervention/prevention assessment (VIA)' 103
Taggart et al. (2004): 'Curriculum progression in the arts' 105
Silver (2002): 'Young People's Perceptions Project' 107
Lewins (2000): 'Older people's needs assessment exercise: focus groups' 110
Gulati (2006): 'Understanding knowledge construction in online courses' 113
Summary: making the most of a coding scheme 115
Comparative comments on coding schemata in CAQDAS packages 115
i
7 Coding Tasks in Software 117
Generic tasks: generating and applying codes 118
Task 7.1 Generating codes 118
Task 7.2 Applying existing codes to text 118
Task 7.3 Defining and listing codes 118
Task 7.4 Changing your mind about how data are coded 119
Task 7.5 Reorganizing the coding schema 119
Integrating the different aspects of your work 120
Software specific variations: coding processes in software 120
Exercises in ATLAS.ti5 120
Exercises in MAXqda2 127
Exercises in NVivo7 133
Summary: getting started with coding in software 141
Comparative comments on coding functionality and processes 141
8 Basic Retrieval of Coded Data 143
Purposes and values of basic retrieval 144
Where did I get to last time? 144
Reflexivity and rigour 144
Generic tasks: retrieving coded data 145
Task 8.1 Retrieve all data coded so far 145
Task 8.2 View all codes appearing in one document 145
Task 8.3 Recode data 146
Task 8.4 Overview current coding status 146
Software specific variations: data retrieval 147
Exercises in ATLAS .ti5 147
Exercises in MAXqda2 151
Exercises in NVivo7 156
Summary: basic ways to retrieve coded data 160
Comparative comments on retrieval functionality and processes 160
9 Managing Processes and Interpretations by Writing 163
The importance of writing in conducting qualitative data analysis 164
Writing as a continuous analytic process 165
CONTENTS ix
Forms and purposes of writing 165
Field notes 165
Research journal(s) 166
Analytic or theoretical memos 166
The potential value of software writing tools 167
Generic tasks for using memos 168
Managing your memo system 169
Creating memos 169
Free standing centralized memos 169
Naming and dating memos 169
Grouping memos 170
Structuring memos 170
Integrating your writing with the rest of your project 170
Linking memos to documents 171
Linking memos to codes 171
Coding your own writing 171
Search the content of a memo 171
Outputting memos 171
Software specific memo functionality 172
Memos in ATLAS.ti5 172
Memos in MAXqda2 174
Memos in NVivo7 175
Summary: flexible writing in software 177
Comparative comments on memo functionality 178
10 Mapping Ideas and Linking Concepts 179
Theoretical models 180
Adaptive theory and the modelling process 180
Grounded theory and the mapping process 180
Mapping tools: relevant traditions 180
Mapping software packages 181
Mapping in CAQDAS packages: general purposes 181
Limits of CAQDAS mapping tools 182
Possibilities with CAQDAS mapping tools 183
Cautions 183
Generic tasks: mapping and linking 183
Software specific mapping tools 185
The networking tool in ATLAS.ti5 185
The mapping tool in M AXqda2 186
The modeller in NVivo7 190
Summary: mapping functionality 191
Comparative comments on mapping functionality 191
x USING SOFTWARE IN QUALITATIVE RESEARCH
11 Organizing Data to Known Characteristics 194
The importance of organizing qualitative data 195
Features in data which can be organized 195
Organizing qualitative data in CAQDAS packages 196
Document 'families' and 'attributes' 196
Differentiating between organizational features and 'conceptual' codes 196
Working incrementally 197
Organizing whole data files 197
Organizing parts of data files 198
Organizing case studies 199
Software specific variations: data organization 199
Exercises in ATLAS.IÍ5 199
Exercises in MAXqda2 200
Exercises in NVivo7 205
Summary, data organization functionality 208
Comparative comments on data organization 208
12 Interrogating the Dataset 209
Moving on 210
Different ways to interrogate the database 210
Filtering and simple forms of retrieval 210
Searching for content 211
Code searches as iterative, incremental and repeatable 211
Qualitative cross tabulations in the form of tables and matrices 211
Interrogating in maps 212
Changing techniques of qualitative data analysis 212
Cautions 212
Generic tasks: searching 213
Searching for content 213
Code searching 214
Generating tabular data 214
Creating signposts from searches 214
Software specific searching functions 214
Searching and interrogation tools in ATLAS.ti5 216
Searching and interrogation tools in MAXqda2 219
Searching and interrogation tools in NVivo7 223
Summary: reviewing searching and interrogation functionality 225
Comparative comments on searching and interrogating the dataset 226
13 Convergence, Closeness, Choice 227
Planning for the use of software 227
Convergence of tasks and tools: software as a container for your work 228
CONTENTS xi
Closeness to data: inside software and outside it 228
Working within your comfort zone: focused effective use of software 229
Appendix A Background and Summary of Example Projects 231
Appendix B Keyboard Shortcuts for ATLAS.ti5, MAXqda2 and NVivo7 238
Appendix C Features and Functions of Seven CAQDAS Packages 241
ATLAS.Ü5 241
HyperRESEARCH 2.6 246
MAXqda2 252
QDA Miner 2.0 257
QSR NVivo7 262
Qualms 267
Transana 2 273
Appendix D Resources and Links 279
References 281
Index 285 |
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| author | Lewins, Ann Silver, Christina |
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| ctrlnum | (OCoLC)880533883 (DE-599)GBV522445136 |
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| discipline | Informatik Soziologie Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Soziologie Wirtschaftswissenschaften |
| edition | 1. publ. |
| format | Book |
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| genre | (DE-588)4151278-9 Einführung gnd-content |
| genre_facet | Einführung |
| id | DE-604.BV022521098 |
| illustrated | Illustrated |
| index_date | 2024-07-02T18:03:18Z |
| indexdate | 2025-03-31T20:04:27Z |
| institution | BVB |
| isbn | 9780761949220 0761949232 9780761949237 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015727829 |
| oclc_num | 880533883 |
| open_access_boolean | |
| owner | DE-473 DE-BY-UBG DE-824 DE-945 DE-1049 DE-521 DE-29 DE-20 DE-83 DE-11 DE-188 |
| owner_facet | DE-473 DE-BY-UBG DE-824 DE-945 DE-1049 DE-521 DE-29 DE-20 DE-83 DE-11 DE-188 |
| physical | XI, 288 S. Ill. |
| publishDate | 2007 |
| publishDateSearch | 2007 |
| publishDateSort | 2007 |
| publisher | SAGE Publ. |
| record_format | marc |
| spelling | Lewins, Ann Verfasser aut Using software in qualitative research a step-by-step guide Ann Lewins and Christina Silver 1. publ. Los Angeles [u.a.] SAGE Publ. 2007 XI, 288 S. Ill. txt rdacontent n rdamedia nc rdacarrier Kwalitatieve methoden Kwalitatieve methoden gtt Qualitative Forschung bvk Sociaal-wetenschappelijk onderzoek Sociaal-wetenschappelijk onderzoek gtt Software Software gtt Qualitative research Computer programs Computerunterstütztes Verfahren (DE-588)4139030-1 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Qualitative Sozialforschung (DE-588)4395695-6 gnd rswk-swf Software (DE-588)4055382-6 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Qualitative Sozialforschung (DE-588)4395695-6 s Datenanalyse (DE-588)4123037-1 s Computerunterstütztes Verfahren (DE-588)4139030-1 s DE-604 Software (DE-588)4055382-6 s DE-188 Silver, Christina Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015727829&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Lewins, Ann Silver, Christina Using software in qualitative research a step-by-step guide Kwalitatieve methoden Kwalitatieve methoden gtt Qualitative Forschung bvk Sociaal-wetenschappelijk onderzoek Sociaal-wetenschappelijk onderzoek gtt Software Software gtt Qualitative research Computer programs Computerunterstütztes Verfahren (DE-588)4139030-1 gnd Datenanalyse (DE-588)4123037-1 gnd Qualitative Sozialforschung (DE-588)4395695-6 gnd Software (DE-588)4055382-6 gnd |
| subject_GND | (DE-588)4139030-1 (DE-588)4123037-1 (DE-588)4395695-6 (DE-588)4055382-6 (DE-588)4151278-9 |
| title | Using software in qualitative research a step-by-step guide |
| title_auth | Using software in qualitative research a step-by-step guide |
| title_exact_search | Using software in qualitative research a step-by-step guide |
| title_exact_search_txtP | Using software in qualitative research a step-by-step guide |
| title_full | Using software in qualitative research a step-by-step guide Ann Lewins and Christina Silver |
| title_fullStr | Using software in qualitative research a step-by-step guide Ann Lewins and Christina Silver |
| title_full_unstemmed | Using software in qualitative research a step-by-step guide Ann Lewins and Christina Silver |
| title_short | Using software in qualitative research |
| title_sort | using software in qualitative research a step by step guide |
| title_sub | a step-by-step guide |
| topic | Kwalitatieve methoden Kwalitatieve methoden gtt Qualitative Forschung bvk Sociaal-wetenschappelijk onderzoek Sociaal-wetenschappelijk onderzoek gtt Software Software gtt Qualitative research Computer programs Computerunterstütztes Verfahren (DE-588)4139030-1 gnd Datenanalyse (DE-588)4123037-1 gnd Qualitative Sozialforschung (DE-588)4395695-6 gnd Software (DE-588)4055382-6 gnd |
| topic_facet | Kwalitatieve methoden Qualitative Forschung Sociaal-wetenschappelijk onderzoek Software Qualitative research Computer programs Computerunterstütztes Verfahren Datenanalyse Qualitative Sozialforschung Einführung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015727829&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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