Univrsity Of Tehran Press Journal of Information Technology Management 2980-7972 10 4 2018 12 01 Big Data Quality: From Content to Context 64 71 72762 10.22059/jitm.2019.72762 EN Ahmad Khalilijafarabad PhD, Department of Information Technology Management, Faculty of Management, University of Tehran, Tehran, Iran. Journal Article 2019 09 21 Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data quality for organizations, there is no comprehensive literature review that shows the main differences between traditional data quality researches and Big Data quality researches. This paper analyzed the papers published in Big data quality and find out that there is almost no new mainstream about Big Data quality. It is shown in this paper that the main concepts of data quality does not changes in Big Data context and that only some new issues have been added to this area. https://jitm.ut.ac.ir/article_72762_ade9cf8ca3448807a0edb217c756179d.pdf