Knowledge management for science-based decision making

被引:0
|
作者
Scott, PR [1 ]
Dixon, GR [1 ]
机构
[1] CAB Int, Wallingford OX10 8DE, Oxon, England
来源
关键词
information technology; information storage; information dissemination; knowledge evolution; knowledge interpretation; data orizanization; education and training; global compendia;
D O I
10.17660/ActaHortic.2004.642.12
中图分类号
S6 [园艺];
学科分类号
0902 ;
摘要
Twenty years ago, John Naisbitt in "Megatrends" wisely observed that we were "drowning in information but starved for knowledge." By 2002, the daily requirement to take decisions on a rational basis requires something more than good organization of the bewildering flow of information. We need much help with converting it to knowledge. This can then become the platform for making our own judgements and decisions. Using examples from plant sciences, this paper looks at some of the ways in which knowledge management for science-based decision making can be improved. It includes some demonstrations of dynamic processes. Topics considered include: handling facts to produce information; interpreting information to produce knowledge; using knowledge to support decision making; passing on knowledge with education and training; and storing and disseminating information.
引用
收藏
页码:115 / 118
页数:4
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