Research inherently requires collaborative efforts between individuals, databases, and institutions. However, the systems that enable such interpersonal cooperation must be properly suited in facilitating such efforts to avoid impeding productivity.
Collaborative Knowledge in Scientific Research Networks addresses the various systems in place for collaborative e-research and how these practices serve to enhance the quality of research across disciplines. Covering new networks available through social media as well as traditional methods such as mailing lists and forums, this publication considers various scientific disciplines and their individual needs. Theorists of collaborative scientific work, technology developers, researchers, and funding agency officials will find this book valuable in exploring and understanding the process of scientific collaboration.
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| Preface |
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xxiii | |
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Section 1 Introducing Collaborative Networks of Knowledge |
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Chapter 1 Reconciling Knowledge and Collaborative E-Research |
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1 | (20) |
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Chapter 2 Examining Trust in Collaborative Research Networks |
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21 | (19) |
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Chapter 3 Collaborative Progress in Citation Networks |
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40 | (15) |
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Chapter 4 Assessing Individual Influence on Group Decisions in Geological Carbon Capture and Storage Problems |
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55 | (21) |
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Chapter 5 International Funding and Collaboration in Sea Level Rise Research |
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76 | (14) |
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Chapter 6 Relationship between Senior and Junior Researcher: Challenges and Opportunities for Knowledge Creating and Sharing |
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90 | (37) |
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Section 2 Case Studies in Different Domains |
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Chapter 7 Towards the Interoperable Data Environment for Facilities Science |
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127 | (27) |
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Chapter 8 Collaborative Seabed-Habitat Mapping: Uncertainty in Sediment Data as an Obstacle in Harmonization |
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154 | (23) |
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Chapter 9 Knowledge Building and Computer Tools |
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177 | (14) |
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Chapter 10 Beyond Learning: E-Learning Models for Scientific Research |
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191 | (23) |
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Chapter 11 Collaborative Knowledge in Catchment Research Networks: Integrative Research Requirements for Catchment Systems Science |
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214 | (24) |
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Christopher (Kit) J. A. Macleod |
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Section 3 Formalization of Syntax and Semantics of Static Knowledge |
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Chapter 12 Loose Integration of Local Information to Generate Collaborative Marine Science Knowledge |
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238 | (24) |
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Chapter 13 Persistence of Knowledge across Layered Architectures |
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262 | (21) |
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Chapter 14 The Brokering Approach for Enabling Collaborative Scientific Research |
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283 | (22) |
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Chapter 15 Building Collaborative Ontologies: A Human Factors Approach |
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305 | (21) |
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Section 4 Formalization of Syntax and Semantics of Dynamic Knowledge |
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Chapter 16 Grammar of Dynamic Knowledge for Collaborative Knowledge Engineering and Representation |
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326 | (28) |
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Chapter 17 Constructing Historical Knowledge through Graphic Boundary Objects |
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354 | (17) |
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Chapter 18 Perspectives of Use of Petri Nets in Collaborative Research |
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371 | (16) |
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Section 5 Knowledge Handling Avoiding Formalization |
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Chapter 19 Maps, Graphs, and Annotations as Boundary Objects in Knowledge Networks, Distributed Cognition, and Collaborative E-Research |
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387 | (22) |
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| Compilation of References |
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409 | (41) |
| About the Contributors |
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450 | (8) |
| Index |
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458 | |
Paolo Diviacco Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS), Trieste, Italy.
Peter Fox Rensselaer Polytechnic Institute, Troy, USA.
Cyril Pshenichy Geognosis Project, ITMO University, St. Petersburg, Russia.
Adam Leadbetter British Oceanographic Data Centre, NERC, Liverpool, UK.
