Big data, little data, no data: scholarship in the networked world
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Massachusetts
MIT Press
[2015]
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | Includes bibliographical references and index first MIT Press paperback edition, 2016 |
| Beschreibung: | XXV, 383 Seiten Illustrationen, Diagramme 24 cm |
| ISBN: | 9780262028561 9780262529914 |
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Datensatz im Suchindex
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Contents
Detailed
Contents ix
Preface
xvii
Acknowledgments
xxi
Part I: Data and Scholarship
1
1
Provocations
3
2
What are Data?
17
3
Data Scholarship
31
4
Data Diversity
55
Part II: Case Studies in Data Scholarship
81
5
Data Scholarship in the Sciences
83
6
Data Scholarship in the Social Sciences
125
7
Data Scholarship in the Humanities
161
Part III: Data Policy and Practice
203
8
Releasing, Sharing, and Reusing Data
205
9
Credit, Attribution, and Discovery
241
10
What to Keep and Why
271
References
289
Index
361
Detailed Table of Contents
Preface
xvii
Acknowledgments
xxi
Part I: Data and Scholarship
1
1
Provocations
3
Introduction
3
Big Data, Little Data
4
Bigness
5
Openness
7
The Long Tail
8
No Data
10
Data Are Not Available
11
Data Are Not Released
11
Data Are Not Usable
13
Provocations
13
Conclusion
15
2
What Are Data?
17
Introduction
17
Definitions and Terminology
18
Definitions by Example
19
Operational Definitions 2O
Categorical Definitions
21
Degrees of Processing
21
Origin and Preservation Value
23
Collections
25
Conceptual Distinctions
26
Detailed Table of Contents
Sciences and Social Sciences
26
Humanities
27
Conclusion
28
3
Data Scholarship
31
Introduction
31
Knowledge Infrastructures
32
The Social and the Technical
35
Communities and Collaboration
36
Knowledge and Representation
37
Theory, Practice, and Policy
38
Open Scholarship
39
Open Access to Research Findings
39
Open Access to Data
42
Open Technologies
45
Converging Communication
47
Data Metaphors
47
Units of Data SO
Documents of Record
51
Conclusion
52
4
Data Diversity
55
Introduction
55
Disciplines
and Data
56
Size Matters
58
Project Goals
58
Data Collection
60
Data Analysis
61
When Are Data?
62
Distance Matters
64
Sources and Resources
64
Metadata
65
Definitions and Discovery
66
Communities and Standards
68
Provenance
70
External Influences
71
Economics and Values
71
Property Rights
75
Ethics
77
Conclusion
79
Detailed Table of Contents
xi
Part II: Case Studies in Data Scholarship
81
5
Data Scholarship in the Sciences
83
Introduction
83
Research Methods and Data Practices
83
Science Cases
84
Astronomy
85
Size Matters
86
Big Science, Little Science
86
Big Data, Long Tail
87
When Are Data?
90
Sources and Resources
91
Telescopes
91
Electromagnetic Spectrum
92
Celestial Objects
93
Astronomy Data Products
93
Knowledge Infrastructures
94
Metadata
94
Coordinate Systems
95
Celestial Objects
96
Data Archiving
97
Publications
98
Provenance
99
External Influences
100
Economics and Value
100
Property Rights
100
Ethics
101
Conducting Research in Astronomy
102
The COMPLETE Survey
102
Research Questions
103
Collecting Data
103
Analyzing Data
104
Publishing Findings
104
Curating, Sharing, and Reusing Data
105
Sen
sor-
Networked Science and Technology
106
Size Matters
106
When Are Data?
108
Sources and Resources
109
Embedded Sensor Networks
109
Physical Samples
111
Software, Code, Scripts, and Models
111
Background Data 111
Detailed Table of Contents
xii
Knowledge Infrastructures
112
Metadata
112
Provenance
113
External Influences
113
Economics and Value
113
Property Rights
114
Ethics
115
Conducting Research with Embedded Sensor Networks
116
Research Questions
117
Collecting Data
117
Analyzing Data
119
Publishing Findings
119
Curating, Sharing, and Reusing Data
120
Conclusion
121
6
Data Scholarship
ín
the Social Sciences
125
Introduction
125
Research Methods and Data Practices
126
Social Sciences Cases
127
Internet Surveys and Social Media Studies
128
Size Matters
128
When Are Data?
129
Sources and Resources
129
Knowledge Infrastructures
131
Metadata
132
Provenance
133
External Influences
135
Economics and Value
135
Property Rights
136
Ethics
136
Conducting Internet Surveys and Social Media Research
137
Research Questions
138
Collecting Data
139
Analyzing Data
140
Publishing Findings
141
Curating, Sharing, and Reusing Data
142
SodotechrücaJ
Studies
143
Size Matters
144
When Are Data?
144
Sources and Resources 14S
Field Observations and Ethnography
145
Interviews
146
Detailed Table of Contents
xlii
Records and Documents
146
Building and Evaluating Technologies
147
Knowledge Infrastructures
147
Metadata
148
Provenance
148
External Influences
149
Economics and Value
149
Property Rights
149
Ethics
150
Conducting Sociotechnical Research in
CENS
150
Research Questions
151
Collecting Data
152
Analyzing Data
154
Publishing Findings
155
Curating, Sharing, and Reusing Data
156
Conclusion
157
7
Data Scholarship in the Humanities
161
Introduction
161
Research Methods and Data Practices
162
Humanities Cases
164
Classical Art and Archaeology
164
Size Matters
165
When Are Data?
166
Sources and Resources
166
Physical versus Digital Objects
167
Digital versus Digitized
167
Surrogates versus Full Content
167
Static Images versus Searchable Representations
168
Searchable Strings versus Enhanced Content
169
Knowledge Infrastructures
170
Metadata
171
Provenance
172
Collections
173
External Factors
176
Economics and Value
176
Property Rights
178
Ethics
178
Conducting Research in Classical Art and Archaeology
179
Research Questions
180
Collecting Data
181
Analyzing Data
182
Detailed Table of Contents
xiv
Publishing Findings
184
Curating, Sharing, and Reusing Data
184
Buddhist Studies
186
Size Matters
187
When Are Data?
187
Sources and Resources
188
Primary versus Secondary Sources
188
Static Images versus Enhanced Content
189
Knowledge Infrastructures
189
Metadata
190
Provenance
191
Collections
191
External Factors
192
Economics and Value
192
Property Rights
193
Ethics
193
Conducting Research in Buddhist Studies
194
Research Questions
195
Collecting Data
196
Analyzing Data
196
Publishing Findings
197
Curating, Sharing, and Reusing Data
199
Conclusion
200
Part III: Data Policy and Practice
203
8
Sharing, Releasing, and Reusing Data
205
Introduction
205
Supply and Demand for Research Data
207
The Supply of Research Data
208
To Reproduce Research
209
Denning
Repród
ucibil
i ty
209
Determining What to Reproduce
209
Detecting Fraud
210
Resolving Disputes
211
To Make Public Assets Available to the Public
211
To Leverage Investments in Research
212
To Advance Research and Innovation
212
The Demand for Research Data
213
Scholarly Motivations
214
Publications and Data
21
S
Detailed Table of Contents xv
Communicating Research
215
Publishing Research
216
Data as Assets and Liabilities
217
Releasing Data
218
Representation and Mobility
219
Provenance
220
Acquiring Data to Reuse
222
Background and Foreground Uses
222
Interpretation and Trust
223
Knowledge Infrastructures
224
Repositories, Collections, and Archives
225
Private Practice
227
Human Infrastructure
228
Intractable Problems
229
Disciplinary Knowledge Infrastructures
229
Sciences
230
Astronomy
230
Sensor Networked Science and Technology
231
Genomics
233
Social Sciences
235
Internet Research
235
Sociotechnical Research
235
Humanities
236
Classical Art and Archaeology
236
Buddhist Studies
237
Conclusion
237
9
Credit, Attribution, and Discovery of Data
241
Introduction
241
Principles and Problems
243
Theory and Practice
245
Substance and Style: How to Cite
245
Theories of Citation Behavior: What, When, and Why to Cite Objects
248
Meaning of Links
248
Selecting References
249
Theorizing and Modeling Citation Behavior
250
Citing Data
251
Clear or Contested: Who Is Credited and Attributed?
252
Naming the Cited Author
252
Negotiating Authorship Credit
253
Responsibility
255
Credit for Data
256
xvj Detailed Table of Contents
Name or Number: Questions of Identity
258
Identifying People and Organizations
258
Identity and Discovery
260
Identifying Objects
261
Theory Meets Technology: Citations as Actions
264
Risks and Rewards: Citations as Currency
266
Conclusion
268
10
What to Keep and Why
271
Introduction
271
Provocations Revisited
273
Rights, Responsibilities, Roles, and Risks
273
Data Sharing
275
Publications and Data
278
Data Access
281
Stakeholders and Skills
283
Knowledge Infrastructures Past, Present, and Future
285
Conclusion
287
References
289
Index
361
BIG DATA, LITTLE DATA, TO ®MÂ
SCHOLARSHIP IN THE NETWORKED WORLD
Christine L, Borgman
Big data” is on the covers of Science, Nature, the Economist, and Wired magazines, on the
front pages of the Wall Street Journal and the New York Times. But despite the media hyper-
bole, as Christine Borgman points out in this examination of data and scholarly research,
having the right data is usually better than having more data; little data can be just as valu-
able as big data.
Borgman, an often-cited authority on scholarly communication, argues that data have no
value or meaning in isolation; they exist within a knowledge infrastructure—an ecology of
people, practices, technologies, institutions, material objects, and relationships. Borgman
offers case studies of data practices in the sciences, the social sciences, and the humanities,
and then considers the implications of her findings for scholarly practice and research policy.
To manage and exploit data over the long term, Borgman argues, requires massive invest-
ment in knowledge infrastructures; at stake is the future of scholarship. |
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| discipline | Allgemeines Kommunikationswesen Wiss. Arbeiten |
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| id | DE-604.BV042256611 |
| illustrated | Illustrated |
| indexdate | 2024-08-14T00:10:29Z |
| institution | BVB |
| isbn | 9780262028561 9780262529914 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027694500 |
| oclc_num | 903597883 |
| open_access_boolean | |
| owner | DE-Re13 DE-BY-UBR DE-188 DE-473 DE-BY-UBG DE-12 DE-11 DE-1050 DE-91 DE-BY-TUM DE-384 DE-210 DE-525 DE-739 |
| owner_facet | DE-Re13 DE-BY-UBR DE-188 DE-473 DE-BY-UBG DE-12 DE-11 DE-1050 DE-91 DE-BY-TUM DE-384 DE-210 DE-525 DE-739 |
| physical | XXV, 383 Seiten Illustrationen, Diagramme 24 cm |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | MIT Press |
| record_format | marc |
| spelling | Borgman, Christine L. 1951- Verfasser (DE-588)142627097 aut Big data, little data, no data scholarship in the networked world Christine L. Borgman Cambridge, Massachusetts MIT Press [2015] XXV, 383 Seiten Illustrationen, Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index first MIT Press paperback edition, 2016 Communication in learning and scholarship / Technological innovations Research / Methodology Research / Data processing Information technology Information storage and retrieval systems Cyberinfrastructure Datenverarbeitung E-Science (DE-588)7819668-1 gnd rswk-swf Technische Innovation (DE-588)4431027-4 gnd rswk-swf Informationsspeicherung (DE-588)4332067-3 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Informationssystem (DE-588)4072806-7 gnd rswk-swf Forschung (DE-588)4017894-8 gnd rswk-swf Wissenschaft (DE-588)4066562-8 gnd rswk-swf Informationstechnik (DE-588)4026926-7 gnd rswk-swf Digitalisierung (DE-588)4123065-6 gnd rswk-swf Datenstruktur (DE-588)4011146-5 gnd rswk-swf Forschungsdaten (DE-588)1098579690 gnd rswk-swf Integrität Informatik (DE-588)4803948-2 gnd rswk-swf Forschungsmethode (DE-588)4155046-8 gnd rswk-swf Datenauswertung (DE-588)4131193-0 gnd rswk-swf Wissenschaftskommunikation (DE-588)1031114947 gnd rswk-swf Wissenschaft (DE-588)4066562-8 s Digitalisierung (DE-588)4123065-6 s DE-604 Forschung (DE-588)4017894-8 s Forschungsdaten (DE-588)1098579690 s Datenauswertung (DE-588)4131193-0 s Big Data (DE-588)4802620-7 s Integrität Informatik (DE-588)4803948-2 s Wissenschaftskommunikation (DE-588)1031114947 s Technische Innovation (DE-588)4431027-4 s Forschungsmethode (DE-588)4155046-8 s Datenverarbeitung (DE-588)4011152-0 s Informationstechnik (DE-588)4026926-7 s Informationsspeicherung (DE-588)4332067-3 s E-Science (DE-588)7819668-1 s Informationssystem (DE-588)4072806-7 s 1\p DE-604 Datenstruktur (DE-588)4011146-5 s 2\p DE-604 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027694500&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027694500&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Borgman, Christine L. 1951- Big data, little data, no data scholarship in the networked world Communication in learning and scholarship / Technological innovations Research / Methodology Research / Data processing Information technology Information storage and retrieval systems Cyberinfrastructure Datenverarbeitung E-Science (DE-588)7819668-1 gnd Technische Innovation (DE-588)4431027-4 gnd Informationsspeicherung (DE-588)4332067-3 gnd Big Data (DE-588)4802620-7 gnd Datenverarbeitung (DE-588)4011152-0 gnd Informationssystem (DE-588)4072806-7 gnd Forschung (DE-588)4017894-8 gnd Wissenschaft (DE-588)4066562-8 gnd Informationstechnik (DE-588)4026926-7 gnd Digitalisierung (DE-588)4123065-6 gnd Datenstruktur (DE-588)4011146-5 gnd Forschungsdaten (DE-588)1098579690 gnd Integrität Informatik (DE-588)4803948-2 gnd Forschungsmethode (DE-588)4155046-8 gnd Datenauswertung (DE-588)4131193-0 gnd Wissenschaftskommunikation (DE-588)1031114947 gnd |
| subject_GND | (DE-588)7819668-1 (DE-588)4431027-4 (DE-588)4332067-3 (DE-588)4802620-7 (DE-588)4011152-0 (DE-588)4072806-7 (DE-588)4017894-8 (DE-588)4066562-8 (DE-588)4026926-7 (DE-588)4123065-6 (DE-588)4011146-5 (DE-588)1098579690 (DE-588)4803948-2 (DE-588)4155046-8 (DE-588)4131193-0 (DE-588)1031114947 |
| title | Big data, little data, no data scholarship in the networked world |
| title_auth | Big data, little data, no data scholarship in the networked world |
| title_exact_search | Big data, little data, no data scholarship in the networked world |
| title_full | Big data, little data, no data scholarship in the networked world Christine L. Borgman |
| title_fullStr | Big data, little data, no data scholarship in the networked world Christine L. Borgman |
| title_full_unstemmed | Big data, little data, no data scholarship in the networked world Christine L. Borgman |
| title_short | Big data, little data, no data |
| title_sort | big data little data no data scholarship in the networked world |
| title_sub | scholarship in the networked world |
| topic | Communication in learning and scholarship / Technological innovations Research / Methodology Research / Data processing Information technology Information storage and retrieval systems Cyberinfrastructure Datenverarbeitung E-Science (DE-588)7819668-1 gnd Technische Innovation (DE-588)4431027-4 gnd Informationsspeicherung (DE-588)4332067-3 gnd Big Data (DE-588)4802620-7 gnd Datenverarbeitung (DE-588)4011152-0 gnd Informationssystem (DE-588)4072806-7 gnd Forschung (DE-588)4017894-8 gnd Wissenschaft (DE-588)4066562-8 gnd Informationstechnik (DE-588)4026926-7 gnd Digitalisierung (DE-588)4123065-6 gnd Datenstruktur (DE-588)4011146-5 gnd Forschungsdaten (DE-588)1098579690 gnd Integrität Informatik (DE-588)4803948-2 gnd Forschungsmethode (DE-588)4155046-8 gnd Datenauswertung (DE-588)4131193-0 gnd Wissenschaftskommunikation (DE-588)1031114947 gnd |
| topic_facet | Communication in learning and scholarship / Technological innovations Research / Methodology Research / Data processing Information technology Information storage and retrieval systems Cyberinfrastructure Datenverarbeitung E-Science Technische Innovation Informationsspeicherung Big Data Informationssystem Forschung Wissenschaft Informationstechnik Digitalisierung Datenstruktur Forschungsdaten Integrität Informatik Forschungsmethode Datenauswertung Wissenschaftskommunikation |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027694500&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027694500&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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