<ul> <li>List of figures and tables <ul> <li>Figures </li> <li>Tables </li></ul></li> <li>About the author </li> <li>Acknowledgments </li> <li>Preface </li> <li>1: Introduction <ul> <li>What is e-research? </li> <li>What is a VRE? </li> <li>Portals and science gateways for e-research </li> <li>A service-oriented architecture approach </li> <li>Development methodology </li></ul></li> <li>2: Motivation and requirements <ul> <li>Research lifecycle: data, information and knowledge </li> <li>Generic usage scenario and requirements </li> <li>What functionality does an e-researcher need? </li> <li>What components need to be integrated for e-research? </li> <li>Illustrative examples </li></ul></li> <li>3: Creating and using research data <ul> <li>Characteristics of data </li> <li>High-performance computing in e-research </li> <li>Managing research data </li></ul></li> <li>4: Managing and using digital information <ul> <li>Information sources used by researchers </li> <li>E-research and the wider information environment </li></ul></li> <li>5: Collaboration, trust and security <ul> <li>Virtual organisations and their implementation </li> <li>Collaborative working </li> <li>Collaboration tools </li> <li>Security in a VRE: authentication and authorisation </li></ul></li> <li>6: Domain differences and usability <ul> <li>E-research, e-learning and digital information </li> <li>Differences between research domains </li> <li>Usability </li></ul></li> <li>7: VRE architecture: the technology <ul> <li>Don’t reinvent the wheel </li> <li>N-tier architecture </li> <li>Web services and service-oriented architecture </li> <li>Security frameworks </li> <li>VRE service definitions </li> <li>What e-infrastructure is available? </li></ul></li> <li>8: E-infrastructure and grid resources <ul> <li>What is grid computing? </li> <li>Grid applications </li> <li>Middleware </li> <li>E-infrastructure, SOA and services </li></ul></li> <li>9: Desktop environments and the web <ul> <li>Lightweight grid computing </li> <li>Desktop e-research tools </li> <li>E-research portals </li></ul></li> <li>10: The Sakai collaborative learning and research framework <ul> <li>Working with Sakai </li> <li>Portal prototype: the Sakai VRE Demonstrator </li> <li>Portal organisation and use cases </li></ul></li> <li>11: Example 1: E-infrastructure for social science research <ul> <li>A scenario from social science research </li> <li>Social science research data </li> <li>High-performance modelling and software development </li> <li>Training and outreach </li> <li>E-infrastructure for social science research </li> <li>Experiences with the NCeSS VRE </li></ul></li> <li>12: Example 2: E-infrastructure for experimental facilities <ul> <li>Requirements and prerequisites </li> <li>Mapping requirements to data flow, data models and analysis </li> <li>Project management and other issues </li></ul></li> <li>13: Conclusions: lessons learned and limitations <ul> <li>Top ten e-research requirements </li> <li>Impact of e-research </li> <li>Future </li></ul></li> <li>Appendix A: E-research portals and gateways <ul> <li>USA: TeraGrid Science Gateways </li> <li>Projects in Europe </li> <li>Australasia </li></ul></li> <li>Appendix B: E-research tools and services <ul> <li>Portlet registry </li></ul></li> <li>Appendix C: Generic portal engines <ul> <li>Commercial </li> <li>Public domain </li></ul></li> <li>Appendix D: Glossary <ul> <li>Abbreviations and acronyms </li> <li>Web services nomenclature </li></ul></li> <li>Bibliography </li> <li>Index </li></ul>
