International Journal of Knowledge Based Computer System

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Dynamics of Data Practices for Knowledge Diffusion


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1 University of Oxford Alumni- (Research Group, Alumni Association, Northern California, United States
     

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This paper begins by distinguishing between data infrastructure, data entry and data points as three distinct, but interrelated situations. Data practices are understood in the general sense of the word here, i.e., such as actions, actions, and consequences, of introducing data-generating technologies for knowledge codification. This paper will investigate both the generics and specificities of data practices to explore the disentanglement of the liveness of data practices, i.e. how such practices are happening with regard to knowledge codification. Within this regard, this study seeks to account for the ‘fluid and heterogeneous ontology’ of such practices. In other words, the framework conceptualizes data processing as correlational, and aims to provide a technique to explore the disentanglement of these relationships.

Keywords

Big Data, Data Analytics, Data Infrastructure, Explicit Knowledge, Knowledge Codification, Tacit Knowledge
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  • Dynamics of Data Practices for Knowledge Diffusion

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Authors

Arslan I AyseKok
University of Oxford Alumni- (Research Group, Alumni Association, Northern California, United States

Abstract


This paper begins by distinguishing between data infrastructure, data entry and data points as three distinct, but interrelated situations. Data practices are understood in the general sense of the word here, i.e., such as actions, actions, and consequences, of introducing data-generating technologies for knowledge codification. This paper will investigate both the generics and specificities of data practices to explore the disentanglement of the liveness of data practices, i.e. how such practices are happening with regard to knowledge codification. Within this regard, this study seeks to account for the ‘fluid and heterogeneous ontology’ of such practices. In other words, the framework conceptualizes data processing as correlational, and aims to provide a technique to explore the disentanglement of these relationships.

Keywords


Big Data, Data Analytics, Data Infrastructure, Explicit Knowledge, Knowledge Codification, Tacit Knowledge

References