Open AccessBig Data Quality Dimensions: A Systematic Literature Review
Author(s) -
Anandhi Ramasamy,
Soumitra Chowdhury
Publication year - 2020
Publication title -
journal of information systems and technology management
Language(s) - English
Resource type - Journals
eISSN - 1809-2640
pISSN - 1807-1775
DOI - 10.4301/s1807-1775202017003
Subject(s) - big data , data science , quality (philosophy) , dimension (graph theory) , data quality , systematic review , computer science , set (abstract data type) , management science , political science , business , engineering , data mining , marketing , epistemology , medline , mathematics , metric (unit) , philosophy , pure mathematics , law , programming language
Although big data has become an integral part of businesses and society, there is still concern about the quality aspects of big data. Past research has focused on identifying various dimensions of big data. However, the research is scattered and there is a need to synthesize the ever involving phenomenon of big data. This research aims at providing a systematic literature review of the quality dimension of big data. Based on a review of 17 articles from academic research, we have presented a set of key quality dimensions of big data.