Document Detail


Building a research model for human genetic variation knowledge management.
MedLine Citation:
PMID:  17911918     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Organizational knowledge management (KM) research studies the nature of knowledge, the scope of KM, the factors and mechanisms that affect KM outcomes, as well as theoretical KM frameworks. This paper discusses the implications of past studies for the KM efforts in the human genetic variation (HGV) research domain and presents a HGV-KM research model. This model identifies the context of HGV KM studies, the predispositions and factors that may impact KM outcomes, and important KM processes. It also represents the relationships among these issues. Applying the model, further studies will point the way for improved capture and dissemination of HGV knowledge from routine HGV research activities to contribute to the global genetics knowledge base.
Authors:
Yulong Gu; James Warren
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Studies in health technology and informatics     Volume:  129     ISSN:  0926-9630     ISO Abbreviation:  Stud Health Technol Inform     Publication Date:  2007  
Date Detail:
Created Date:  2007-10-03     Completed Date:  2007-11-02     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  9214582     Medline TA:  Stud Health Technol Inform     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  1265-9     Citation Subset:  T    
Affiliation:
Department of Computer Science, University of Auckland, Auckland, New Zealand. ygu@cs.auckland.ac.nz
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MeSH Terms
Descriptor/Qualifier:
Biomedical Research
Computational Biology / methods*
Genetic Variation*
Humans
Information Management*
Knowledge Bases

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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