Methods, Processes, and Tools for Collaboration "The time has come to fundamentally rethink how we handle the building of knowledge in biomedical sciences today. This book describes how the computational sciences have transformed into being a key knowledge broker, able to integrate and operate across divergent data types."-Bryn Williams-Jones, Associate Research Fellow, Pfizer The pharmaceutical industry utilizes an extended network of partner organizations in order to discover and develop new drugs, however there is currently little guidance for managing information and resources across collaborations. Featuring contributions from the leading experts in a range of industries, Collaborative Computational Technologies for Biomedical Research provides information that will help organizations make critical decisions about managing partnerships, including: * Serving as a user manual for collaborations * Tackling real problems from both human collaborative and data and informatics perspectives * Providing case histories of biomedical collaborations and technology-specific chapters that balance technological depth with accessibility for the non-specialist reader A must-read for anyone working in the pharmaceuticals industry or academia, this book marks a major step towards widespread collaboration facilitated by computational technologies.

Leseprobe

FOREWORD (Alpheus Bingham). PREFACE. CONTRIBUTORS. PART I GETTING PEOPLE TO COLLABORATE. 1. The Need for Collaborative Technologies in Drug Discovery (Chris L. Waller, Ramesh V. Durvasula, and Nick Lynch). 2. Collaborative Innovation: The Essential Foundation of Scientific Discovery (Robert Porter Lynch). 3. Models for Collaborations and Computational Biology (Shawnmarie Mayrand-Chung, Gabriela Cohen-Freue, and Zsuzsanna Hollander). 4. Precompetitive Collaborations in the Pharmaceutical Industry (Jackie Hunter). 5. Collaborations in Chemistry (Sean Ekins, Antony J. Williams, and Christina K. Pikas). 6. Consistent Patterns in Large-Scale Collaboration (Robin W. Spencer). 7. Collaborations Between Chemists and Biologists (Victor J. Hruby). 8. Ethics of Collaboration (Richard J. McGowan, Matthew K. McGowan, and Garrett J. McGowan). 9. Intellectual Property Aspects of Collaboration (John Wilbanks). PART II METHODS AND PROCESSES FOR COLLABORATIONS. 10. Scientifi c Networking and Collaborations (Edward D. Zanders). 11. Cancer Commons: Biomedicine in the Internet Age (Jeff Shrager, Jay M. Tenenbaum, and Michael Travers). 12. Collaborative Development of Large-Scale Biomedical Ontologies (Tania Tudorache and Mark A. Musen). 13. Standards for Collaborative Computational Technologies for Biomedical Research (Sean Ekins, Antony J. Williams, and Maggie A. Z. Hupcey). 14. Collaborative Systems Biology: Open Source, Open Data, and Cloud Computing (Brian Pratt). 15. Eight Years Using Grids for Life Sciences (Vincent Breton, Lydia Maigne, David Sarramia, and David Hill). 16. Enabling Precompetitive Translational Research: A Case Study (Sandor Szalma). 17. Collaboration in Cancer Research Community: Cancer Biomedical Informatics Grid (caBIG) (George A. Komatsoulis). 18. Leveraging Information Technology for Collaboration in Clinical Trials (O. K. Baek). PART III TOOLS FOR COLLABORATIONS. 19. Evolution of Electronic Laboratory Notebooks (Keith T. Taylor). 20. Collaborative Tools to Accelerate Neglected Disease Research: Open Source Drug Discovery Model (Anshu Bhardwaj, Vinod Scaria, Zakir Thomas, Santhosh Adayikkoth, Open Source Drug Discovery (OSDD) Consortium, and Samir K. Brahmachari). 21. Pioneering Use of the Cloud for Development of Collaborative Drug Discovery (CDD) Database (Sean Ekins, Moses M. Hohman, and Barry A. Bunin). 22. Chemspider: a Platform for Crowdsourced Collaboration to Curate Data Derived From Public Compound Databases (Antony J. Williams). 23. Collaborative-Based Bioinformatics Applications (Brian D. Halligan). 24. Collaborative Cheminformatics Applications (Rajarshi Guha, Ola Spjuth, and Egon Willighagen). PART IV THE FUTURE OF COLLABORATIONS. 25. Collaboration Using Open Notebook Science in Academia (Jean-Claude Bradley, Andrew S. I. D. Lang, Steve Koch, and Cameron Neylon). 26. Collaboration and the Semantic Web (Christine Chichester and Barend Mons). 27. Collaborative Visual Analytics Environment for Imaging Genetics (Zhiyu He, Kevin Ponto, and Falko Kuester). 28. Current and Future Challenges for Collaborative Computational Technologies for the Life Sciences (Antony J. Williams, Renee J. G. Arnold, Cameron Neylon, Robin W. Spencer, Stephan Schürer, and Sean Ekins). INDEX.