Managing knowledge in the human genetic variation (HGV) testing context
Date
2007
Authors
Gu, Y.
Warren, J.
Stanek, J.
Editors
Shen, S.
W, W.
W, W.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007 / Shen, S., W, W. (ed./s), vol.4402 LNCS, pp.549-560
Statement of Responsibility
Conference Name
10th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2006) (1 May 2006 : Nanjing, China)
Abstract
Although human genetic variation (HGV) testing for clinical and research purposes produces much valuable data for health care and disease control, the knowledge management (KM) capability in Ulis context is seldom reported or studied. We apply organizational KM theories to identify significant issues in managing HGV knowledge. We also review the essential quality of relevant KM technologies, such as database, data analysis tools, search engine, groupware, data submission tools and Workflow Management System (WfMS). Based on process analysis of key research activities in HGV testing, we propose a knowledge management system (KMS) approach to facilitate HGV knowledge flow and support cooperative HGV research work. By extending and integrating KM tools, a system architecture is designed to assist the key research procedures in HGV testing, to improve research documentation quality, to increase knowledge capture and dissemination, and to support the research cooperation and knowledge sharing in the domain. © Springer-Verlag Berlin Heidelberg 2007.
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