Facing the massive amounts and various subjects of datasets in the Big Data era, it is impossible for humans to handle the datasets alone. Machines are needed in data manipulation, and a model of Data-Information-Knowledge-Action will help guide us through the process of applying big data to tackle scientific and societal issues. Knowledge is one’s expertise or familiarity with a subject under working. Knowledge is necessary in the process to generate information from data about a certain issue, and then take actions. New knowledge can be generated on both the individual level and the community level, and certain explicit knowledge can be encoded as machine readable knowledge bases and be used as tools to facilitate the process of data management and analysis.
Understand the Concepts
The four concepts data, information, knowledge and action are often seen in the language people used in...
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