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]
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]
 
 
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]
The four freedoms of Free Software This requires the source code
 
Innovation
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
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
2009 Vice Chancellor Management  information eLearning Libraries Computer & networking srvs DVC: Academic DVC: Finance  & Ops DVC: Research DVC: Advan- cement Registrar DVC: KIM
Creating the  ecosystem
Modified after the work of Georges Por Value Value
Modified after the work of Georges Por Value Value Technology People Process
Modified after the work of Georges Por Value Value Technology People Information Knowledge Process Wisdom
Modified after the work of Georges Por Value Value People Information Knowledge Wisdom   Skills Compe- tencies Myths Attitude
Modified after the work of Georges Por Value Value People Information Knowledge Wisdom   Skills Compe- tencies Myths Attitude Innovation
Knowledge and  Information ecosystem Container Technology
Knowledge and  Information ecosystem Container Technology Content
Knowledge and  Information ecosystem Container Technology Content
People Technologists
Producers
Consumers
Knowledge and  Information ecosystem Container Technology Content
People Technologists
Producers
Consumers Connections  Flow
Knowledge and  Information ecosystem Container Technology Content
Connections Flow People Technologists
Producers
Consumers
Knowledge and  Information ecosystem Container Technology Content
Connections Flow People Technologists
Producers
Consumers The Enterprise Enterprise 2.0 The semantic enterprise
In ancient times people used computers  to browse the web in browsers that only  opened HTML 'websites'
people people people container content connection flow connection flow connection flow The read-only web
people people people container content connection flow connection flow connection flow The read-only web
Feb 1998 ... 'WEBSITE' – think about it!
That's so 20 th  Century
people container content connection flow The read-write web
people container content connection flow The read-write web
I'm reading Garfield's  blog  about  social mouse catching methods .
Ruff McRuff, podcasting from Jozi.
Social networks
 
 
 
 
 
A plethora of possibilities
Connectedness
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
The semantic web
The semantic web
Connectedness Synergy Collaboration
Synergy Collaboration Value Value
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
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
Innovation Innovation Innovation driven Where are there opportunities to create synergy, leading to innovation? Process Technology Support (people)
Innovation Innovation Key responsibilities Researcher Researcher Software developer Materials developer Instructional designer Systems admin Instructional designer Lecturer Application support Pedagogy (Process) Technology Support (people)
software  engineering software  engineering software  engineering software  engineering
 
 
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
 
 
 

Institutional knowledge and information ecology in a Free Software ecosystem

  • 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 freedomsof Free Software This requires the source code
  • 7.
  • 8.
  • 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 ChancellorStrategic 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 ChancellorManagement 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 thework of Georges Por Value Value
  • 14.
    Modified after thework of Georges Por Value Value Technology People Process
  • 15.
    Modified after thework of Georges Por Value Value Technology People Information Knowledge Process Wisdom
  • 16.
    Modified after thework of Georges Por Value Value People Information Knowledge Wisdom Skills Compe- tencies Myths Attitude
  • 17.
    Modified after thework 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
  • 21.
  • 22.
  • 23.
  • 24.
    Knowledge and Information ecosystem Container Technology Content
  • 25.
  • 26.
  • 27.
  • 28.
    Knowledge and Information ecosystem Container Technology Content
  • 29.
  • 30.
  • 31.
  • 32.
    Knowledge and Information ecosystem Container Technology Content
  • 33.
  • 34.
  • 35.
    Consumers The EnterpriseEnterprise 2.0 The semantic enterprise
  • 36.
    In ancient timespeople used computers to browse the web in browsers that only opened HTML 'websites'
  • 37.
    people people peoplecontainer content connection flow connection flow connection flow The read-only web
  • 38.
    people people peoplecontainer content connection flow connection flow connection flow The read-only web
  • 39.
    Feb 1998 ...'WEBSITE' – think about it!
  • 40.
    That's so 20th Century
  • 41.
    people container contentconnection flow The read-write web
  • 42.
    people container contentconnection flow The read-write web
  • 43.
    I'm reading Garfield's blog about social mouse catching methods .
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
  • 49.
  • 50.
  • 51.
    A plethora ofpossibilities
  • 52.
  • 53.
    Semantic web Machinescan 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
  • 54.
  • 55.
  • 56.
  • 57.
  • 58.
    Risk without ecosystemSafe, 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
  • 59.
    Risk with ecosystemSafe, 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
  • 60.
    Innovation Innovation Innovationdriven Where are there opportunities to create synergy, leading to innovation? Process Technology Support (people)
  • 61.
    Innovation Innovation Keyresponsibilities Researcher Researcher Software developer Materials developer Instructional designer Systems admin Instructional designer Lecturer Application support Pedagogy (Process) Technology Support (people)
  • 62.
    software engineeringsoftware engineering software engineering software engineering
  • 63.
  • 64.
  • 65.
    The stack Crossplatform 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
  • 66.
  • 67.
  • 68.
  • 69.
  • 70.
  • 71.
  • 72.
    Capable of virtualizationto 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
  • 73.
    Private cloud infrastructureSimplified view Compute cloud Cloud storage Robotic tape library Hosted services Wits portals eLearning Digital archive email Hierarchical storage
  • 74.
    Private cloud infrastructureHardware 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
  • 75.
    Private cloud infrastructureHardware 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
  • 76.
    Private cloud infrastructureHardware 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
  • 77.
    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
  • 78.
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  • 80.
    Attribution file: http://www.dkeats.com/usrfiles/users/ 1563080430/attribution/attrib.txt