Human Genetic Variation Knowledge Management Framework:  preliminary validation   Yulong Gu   (Helen) 1,2 ,   James Warren...
Outline  <ul><li>Context </li></ul><ul><ul><li>Knowledge Management (KM) </li></ul></ul><ul><ul><li>Human Genetic Variatio...
Knowledge and KM core  competence , advantage of  know-how , & intellectual  capital capability knowledge  flow  and knowl...
Human Genetic Variation (HGV)  Context  <ul><li>Despite the rapid growth of HGV knowledge stocks   & expertise, it’s still...
<ul><li>Figure 1.  HGV-KM Framework (from literature) </li></ul>IV Contingent Task Characteristics VII Perceived Benefits ...
<ul><li>Figure 1.  HGV-KM Framework (from literature) </li></ul>IV Contingent Task Characteristics VII Perceived Benefits ...
<ul><li>Figure 1.  HGV-KM Framework (from literature) </li></ul>IV Contingent Task Characteristics VII Perceived Benefits ...
<ul><li>Figure 1.  HGV-KM Framework (from literature) </li></ul>IV Contingent Task Characteristics VII Perceived Benefits ...
Preliminary Model Testing <ul><li>Method:  iterative action research  on 3 PhD students’ KM practice.  </li></ul>(McNiff, ...
Prototype Result <ul><li>Document Management </li></ul><ul><li>Communications Support </li></ul><ul><li>Portal Services (t...
 
 
 
 
<ul><li>Figure 2.  Pre-validated HGV-KM Framework  </li></ul>
Current Work with Geneious ( http://www.geneious.com )
A Task Analysis Example <ul><li>Figure 3. Hierarchical Task Analysis on GenBank Sequence Submission </li></ul>
NCBI_Submit.mod.dtd <ul><li><!ELEMENT Seq-submit ( </li></ul><ul><li>Seq-submit_sub,  </li></ul><ul><li>Seq-submit_data)> ...
Ongoing Research Plan <ul><li>Undertaking task analyses. </li></ul><ul><li>Revising task models with genetics researchers....
Acknowledgement  <ul><li>We would like to thank many people for their support to this PhD project in the University of Auc...
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Human Genetic Variation Knowledge Management Framework: preliminary validation

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Yulong Gu (Helen)1,2, James Warren1,2, Alexei Drummond2

1 The National Institute for Health Innovation
2 Department of Computer Science
University of Auckland

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  • Session (30/10 Tuesday 3:50 pm – 4:10 pm); Room: Theatre Thanks, Mr. Chairman. Good day, I’m Helen. I’m going to present the preliminary testing results of my PhD research model for Human Genetic Variation Knowledge Management. My supervisor, Prof. Warren is here today as well. My co-supervisor Dr. Alexei Drummand co-authored this paper that I’m going to talk about today.
  • Human Genetic Variation Knowledge Management Framework: preliminary validation

    1. 1. Human Genetic Variation Knowledge Management Framework: preliminary validation Yulong Gu (Helen) 1,2 , James Warren 1,2 , Alexei Drummond 2 1 The National Institute for Health Innovation 2 Department of Computer Science University of Auckland
    2. 2. Outline <ul><li>Context </li></ul><ul><ul><li>Knowledge Management (KM) </li></ul></ul><ul><ul><li>Human Genetic Variation (HGV) </li></ul></ul><ul><li>HGV-KM Model & Pre-Testing </li></ul><ul><li>Current and Future Work </li></ul>
    3. 3. Knowledge and KM core competence , advantage of know-how , & intellectual capital capability knowledge flow and knowledge processing process knowledge stocks object KM focus Knowledge
    4. 4. Human Genetic Variation (HGV) Context <ul><li>Despite the rapid growth of HGV knowledge stocks & expertise, it’s still rare in effectively managing </li></ul><ul><ul><ul><li>knowledge stocks’ quality </li></ul></ul></ul><ul><ul><ul><li>knowledge flow & knowledge processes </li></ul></ul></ul>
    5. 5. <ul><li>Figure 1. HGV-KM Framework (from literature) </li></ul>IV Contingent Task Characteristics VII Perceived Benefits & Use/ User Satisfaction III Knowledge Process Capability : Knowledge Creation, Retention, Integration, Coordination, Transfer, and Reuse VI Knowledge/ Information Quality V Technology/System Quality VIII Knowledge Infrastructure Capability (Social Capital – network of relationship) IX KM Outcome : Organizational Effectiveness; Net Benefits. II KM Process : ability; motivation; opportunity; HGV research activity/ process management I Contextual Properties Impact Moderating an impact
    6. 6. <ul><li>Figure 1. HGV-KM Framework (from literature) </li></ul>IV Contingent Task Characteristics VII Perceived Benefits & Use/ User Satisfaction III Knowledge Process Capability : Knowledge Creation, Retention, Integration, Coordination, Transfer, and Reuse VI Knowledge/ Information Quality V Technology/System Quality VIII Knowledge Infrastructure Capability (Social Capital – network of relationship) IX KM Outcome : Organizational Effectiveness; Net Benefits. II KM Process : ability; motivation; opportunity; HGV research activity/ process management I Contextual Properties Impact Moderating an impact
    7. 7. <ul><li>Figure 1. HGV-KM Framework (from literature) </li></ul>IV Contingent Task Characteristics VII Perceived Benefits & Use/ User Satisfaction III Knowledge Process Capability : Knowledge Creation, Retention, Integration, Coordination, Transfer, and Reuse VI Knowledge/ Information Quality V Technology/System Quality VIII Knowledge Infrastructure Capability (Social Capital – network of relationship) IX KM Outcome : Organizational Effectiveness; Net Benefits. II KM Process : ability; motivation; opportunity; HGV research activity/ process management I Contextual Properties Impact Moderating an impact
    8. 8. <ul><li>Figure 1. HGV-KM Framework (from literature) </li></ul>IV Contingent Task Characteristics VII Perceived Benefits & Use/ User Satisfaction III Knowledge Process Capability : Knowledge Creation, Retention, Integration, Coordination, Transfer, and Reuse VI Knowledge/ Information Quality V Technology/System Quality VIII Knowledge Infrastructure Capability (Social Capital – network of relationship) IX KM Outcome : Organizational Effectiveness; Net Benefits. II KM Process : ability; motivation; opportunity; HGV research activity/ process management I Contextual Properties Impact Moderating an impact
    9. 9. Preliminary Model Testing <ul><li>Method: iterative action research on 3 PhD students’ KM practice. </li></ul>(McNiff, 2002)
    10. 10. Prototype Result <ul><li>Document Management </li></ul><ul><li>Communications Support </li></ul><ul><li>Portal Services (to exteral services, e.g. literature search, data analysis) </li></ul><ul><li>System Tools (inc. Workflow) </li></ul>
    11. 15. <ul><li>Figure 2. Pre-validated HGV-KM Framework </li></ul>
    12. 16. Current Work with Geneious ( http://www.geneious.com )
    13. 17. A Task Analysis Example <ul><li>Figure 3. Hierarchical Task Analysis on GenBank Sequence Submission </li></ul>
    14. 18. NCBI_Submit.mod.dtd <ul><li><!ELEMENT Seq-submit ( </li></ul><ul><li>Seq-submit_sub, </li></ul><ul><li>Seq-submit_data)> </li></ul><ul><li><!ELEMENT Seq-submit_sub (Submit-block)> </li></ul><ul><li><!ELEMENT Seq-submit_data ( </li></ul><ul><li>Seq-submit_data_entrys | </li></ul><ul><li>Seq-submit_data_annots | </li></ul><ul><li>Seq-submit_data_delete)> </li></ul><ul><li><!ELEMENT Seq-submit_data_entrys (Seq-entry*)> <!-- sequence(s) --> </li></ul><ul><li><!ELEMENT Seq-submit_data_annots (Seq-annot*)> <!-- annotation(s) --> </li></ul><ul><li><!ELEMENT Seq-submit_data_delete (Seq-id*)> </li></ul><ul><li><!ELEMENT Submit-block ( </li></ul><ul><li>Submit-block_contact, </li></ul><ul><li>Submit-block_cit, </li></ul><ul><li>Submit-block_hup?, </li></ul><ul><li>… ( http:// www.ncbi.nlm.nih.gov/dtd/NCBI_Submit.mod.dtd ) </li></ul>
    15. 19. Ongoing Research Plan <ul><li>Undertaking task analyses. </li></ul><ul><li>Revising task models with genetics researchers. </li></ul><ul><li>Building support for confirmed models into Geneious. </li></ul>
    16. 20. Acknowledgement <ul><li>We would like to thank many people for their support to this PhD project in the University of Auckland, especially our dearest colleague Ms Karen Day. We are also indebted to Prof. Andrew Shelling and all the participants. Last but not least, I’d like to thank the reviewers for their brilliant advices. </li></ul>

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