Big data quality factors, frameworks and challenges


  • Abdallah M Faculty of Science and Information Technology, Al-Zaytoonah University of Jordan, P.O. Box 130, Amman (11733) Jordan
  • Muhairat M Assistant Professor Department of Software Engineering, Al-Zaytoonah University, Jordan
  • Althunibat A Assistant Professor Department of Software Engineering, Al-Zaytoonah University, Jordan
  • Abdalla A Associated Professor, Department of Software Engineering, Al-Zaytoonah University, Jordan


Big Data, Quality Dimension, Quality Factors, Quality Frameworks, Quality Challenges


Big Data applications are widely used in many fields such as artificial intelligence, marketing, commercial applications and health care, as demonstrated by the role of Big Data in coping with the COVID-19 pandemic. Therefore, it is essential to ensure the quality of the generation and use of Big Data applications. Consequently, Big Data applications must satisfy quality factors suited for these applications. Furthermore, quality frameworks need to be applied and tested for the quality factors of Big Data applications. Nevertheless, the quality measurement process needs to overcome some challenges for it to become applicable and trustworthy. This research lists different quality factors and dimensions and describes quality frameworks that are commonly used to measure the quality of Big Data. Furthermore, it lists the frequent challenges that researchers and data scientists face throughout the Big Data quality measurement process. Finally, it outlines the solutions that need to be developed for confronting the challenges of Big Data quality.


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How to Cite

Abdallah, M., Muhairat, M., Althunibat, A., & Abdalla, A. (2024). Big data quality factors, frameworks and challenges. COMPUSOFT: An International Journal of Advanced Computer Technology, 9(08), 3785–3790. Retrieved from



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