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Information Journal Paper

Title

Analyzing the evolution of Data Quality research area using Co-word analysis

Pages

  121-138

Abstract

 The domain of Data quality is one of the growing and important areas in the field of information systems. The exact recognition of this field on the one hand and the recognition of the features of the new sub-fields of this field and its interdisciplinary of it will be of great importance to researchers. This knowledge is important for them to decide on the research process and the choice of the field of activity. For this purpose, in this study, using the graph of keyword co-occurrence is conducted on more than 9000 papers. Based on this study, it has been found that these domains have been more interdisciplinary and focus on the relationship between several fields of study. In other words, these keywords are more closely associated with the keywords in the other clusters than with the keywords they are in the same cluster. According to this study, the latest are is big data that focused on integration issues and missing data in this area.

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  • Cite

    APA: Copy

    Khalili jafarabad, Ahmad. (2018). Analyzing the evolution of Data Quality research area using Co-word analysis. IRANIAN JOURNAL OF INFORMATION MANAGEMENT, 3(2 (5) ), 121-138. SID. https://sid.ir/paper/262665/en

    Vancouver: Copy

    Khalili jafarabad Ahmad. Analyzing the evolution of Data Quality research area using Co-word analysis. IRANIAN JOURNAL OF INFORMATION MANAGEMENT[Internet]. 2018;3(2 (5) ):121-138. Available from: https://sid.ir/paper/262665/en

    IEEE: Copy

    Ahmad Khalili jafarabad, “Analyzing the evolution of Data Quality research area using Co-word analysis,” IRANIAN JOURNAL OF INFORMATION MANAGEMENT, vol. 3, no. 2 (5) , pp. 121–138, 2018, [Online]. Available: https://sid.ir/paper/262665/en

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