Institutional knowledge and information ecology in a Free Software ecosystem

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    Institutional knowledge and information ecology in a Free Software ecosystem - Presentation Transcript

    1. Institutional knowledge and information ecology in a Free Software ecosystem The early days of KIM Prof Derek W. Keats Deputy Vice Chancellor (Knowledge & Information Management) The University of the Witwatersrand, Johannesburg http://kim.wits.ac.za [email_address]
    2. Institutional knowledge and information ecology in a Free Software ecosystem The early days of KIM Prof Derek W. Keats Deputy Vice Chancellor (Knowledge & Information Management) The University of the Witwatersrand, Johannesburg http://kim.wits.ac.za [email_address]
    3.  
    4.  
    5. Institutional knowledge and information ecology in a Free Software ecosystem The early days of KIM Prof Derek W. Keats Deputy Vice Chancellor (Knowledge & Information Management) The University of the Witwatersrand, Johannesburg http://kim.wits.ac.za [email_address]
    6. The four freedoms of Free Software This requires the source code
    7.  
    8. Innovation
    9. Institutional knowledge and information ecology in a Free Software ecosystem The early days of KIM Prof Derek W. Keats Deputy Vice Chancellor (Knowledge & Information Management) The University of the Witwatersrand, Johannesburg http://kim.wits.ac.za [email_address] K nowledge & I nformation M anagement
    10. 2008 Vice Chancellor Strategic planning Management information Human resources Centre for Learning & Teaching Dev eLearning Libraries Computer & networking srvs DVC: Academic DVC: Finance & Ops DVC: Research DVC: Advan- cement Registrar
    11. 2009 Vice Chancellor Management information eLearning Libraries Computer & networking srvs DVC: Academic DVC: Finance & Ops DVC: Research DVC: Advan- cement Registrar DVC: KIM
    12. Creating the ecosystem
    13. Modified after the work of Georges Por Value Value
    14. Modified after the work of Georges Por Value Value Technology People Process
    15. Modified after the work of Georges Por Value Value Technology People Information Knowledge Process Wisdom
    16. Modified after the work of Georges Por Value Value People Information Knowledge Wisdom Skills Compe- tencies Myths Attitude
    17. Modified after the work of Georges Por Value Value People Information Knowledge Wisdom Skills Compe- tencies Myths Attitude Innovation
    18. Knowledge and Information ecosystem
      • Container
        • Technology
    19. Knowledge and Information ecosystem
      • Container
        • Technology
      • Content
    20. Knowledge and Information ecosystem
      • Container
        • Technology
      • Content
      • People
        • Technologists
        • Producers
        • Consumers
    21. Knowledge and Information ecosystem
      • Container
        • Technology
      • Content
      • People
        • Technologists
        • Producers
        • Consumers
      • Connections
        • Flow
    22. Knowledge and Information ecosystem
      • Container
        • Technology
      • Content
      • Connections
        • Flow
      • People
        • Technologists
        • Producers
        • Consumers
    23. Knowledge and Information ecosystem
      • Container
        • Technology
      • Content
      • Connections
        • Flow
      • People
        • Technologists
        • Producers
        • Consumers
      The Enterprise Enterprise 2.0 The semantic enterprise
    24. In ancient times people used computers to browse the web in browsers that only opened HTML 'websites'
    25. people people people container content connection flow connection flow connection flow The read-only web
    26. people people people container content connection flow connection flow connection flow The read-only web
    27. Feb 1998 ... 'WEBSITE' – think about it!
    28. That's so 20 th Century
    29. people container content connection flow The read-write web
    30. people container content connection flow The read-write web
    31. I'm reading Garfield's blog about social mouse catching methods .
    32. Ruff McRuff, podcasting from Jozi.
    33. Social networks
    34.  
    35.  
    36.  
    37.  
    38.  
    39. A plethora of possibilities
    40. Connectedness
    41. Semantic web
      • Machines can understand and interpret web information
        • Tim Berners-Lee
      • A variety of emerging technologies for connecting content, people and containers, and fostering flow through container-container connections
        • My corruption of the concept
    42. The semantic web
    43. The semantic web
    44. Connectedness Synergy Collaboration
    45. Synergy Collaboration Value Value
    46. Risk without ecosystem Safe, proven, mature old technologies Mature but relatively new technologies We help to lead technology trends We create and use new technologies before anyone else Option 1 Option 2 Option 3 Option 4 Option 5 The cutting edge
    47. Risk with ecosystem Safe, proven, mature old technologies Mature but relatively new technologies We help to lead technology trends We create and use new technologies before anyone else Option 1 Option 2 Option 3 Option 4 Option 5 The cutting edge
    48. Innovation Innovation Innovation driven Where are there opportunities to create synergy, leading to innovation? Process Technology Support (people)
    49. Innovation Innovation Key responsibilities Researcher Researcher Software developer Materials developer Instructional designer Systems admin Instructional designer Lecturer Application support Pedagogy (Process) Technology Support (people)
    50. software engineering software engineering software engineering software engineering
    51.  
    52.  
    53. The stack Cross platform RESTful API Ajax Mashable XMPP Mobile phone Online package management Version 4 will be fully distributed gstreamer GNU/Linux PHP MySQL PEAR Open Office SWF tools CURL Chisimba FFmpeg Java Python Flash Open fire RED5 Javascript jQuery extJS Jabber prototype
    54.  
    55.  
    56.  
    57.  
    58.  
    59. Mobile technologies
    60. Capable of virtualization to run multiple systems and take advantage of better use of CPU cycles and storage Massive clusters of low cost commodity computers - Compute cloud (e.g. Amazon Elastic Cloud) - Data cloud (e.g. Amazon S3) - Public cloud - Private cloud
    61. Private cloud infrastructure Simplified view Compute cloud Cloud storage Robotic tape library Hosted services Wits portals eLearning Digital archive email Hierarchical storage
    62. Private cloud infrastructure Hardware layer Robotic tape library Spinning disks Flash memory Compute cloud Hosted services Digital archive Virtualization Application Object store Data grid Application Application Wits portals eLearning Operating System Hierarchical storage Middleware email Application
    63. Private cloud infrastructure Hardware layer Robotic tape library Spinning disks Flash memory Compute cloud Hosted services Digital archive Virtualization Application Object store Data grid Application Application Wits portals eLearning Operating System Hierarchical storage Middleware email Application Free and Open Source Software
    64. Private cloud infrastructure Hardware layer Robotic tape library Spinning disks Flash memory Hosted services Digital archive Virtualization Chisimba Fedora iRODS Chisimba DSPACE Wits portals eLearning OS: Open Solaris Glassfish email Zimbra Compute cloud Hierarchical storage
    65. Enterprise document management An approach using private cloud Workflow managed by iRods layer Site Ingest Born digital iFolder client Network iFolder server iRods Chisimba Network Site Site Site iFolder client WWW Private cloud infrastructure iRods iRods
    66. Telephony
    67. Connectedness Synergy Collaboration
    68. Attribution file: http://www.dkeats.com/usrfiles/users/ 1563080430/attribution/attrib.txt

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