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International Conference of Reliable Information and Communication Technology

IRICT 2018: Recent Trends in Data Science and Soft Computing pp 105–116Cite as

Data Quality Issues in Big Data: A Review

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 843))

Abstract

Data with good quality has precedence when analyzing and using big data to deduce value from such tremendous volume of data in today’s business environments. Decisions and insights derived from poor data has a negative and unpredictable consequences to organizations. At present, due to the lack of comprehensive and intensive research in the field of data quality, especially large data, there is an urgent need to address this issue by researchers to reach the optimal way to estimate and evaluate the quality of large data. Thus, enabling institutions to make rational decisions based on evaluation outputs. In this paper, the current research on the quality of large data was reviewed and summarized by exploring the basic characteristics of large data. The main challenges facing the quality of information were also discussed in the context of large data. Some of the initiatives suggested by the researchers to evaluate the quality of the data have been highlighted. Finally, we believe that the results of these reviews will enhance the conceptual measurements of the large data quality and produce a concrete groundwork for the future by creating an integrated data quality assessment and evaluation models using the suitable algorithms.

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Author information

Authors and Affiliations

  1. Advanced Informatics School, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100, Kuala Lumpur, Malaysia

    Fathi Ibrahim Salih, Saiful Adli Ismail, Mosaab M. Hamed, Othman Mohd Yusop, Azri Azmi & Nurulhuda Firdaus Mohd Azmi

Authors
  1. Fathi Ibrahim Salih
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  2. Saiful Adli Ismail
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  3. Mosaab M. Hamed
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  4. Othman Mohd Yusop
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  5. Azri Azmi
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  6. Nurulhuda Firdaus Mohd Azmi
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Corresponding author

Correspondence to Saiful Adli Ismail .

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

    Faisal Saeed

  2. Information Systems Department, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Nadhmi Gazem

  3. Information Technology Department, Faculty of Engineering and Information Technology, Taiz University, Taiz, Yemen

    Fathey Mohammed

  4. Information Systems Department, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Abdelsalam Busalim

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Salih, F.I., Ismail, S.A., Hamed, M.M., Mohd Yusop, O., Azmi, A., Mohd Azmi, N.F. (2019). Data Quality Issues in Big Data: A Review. In: Saeed, F., Gazem, N., Mohammed, F., Busalim, A. (eds) Recent Trends in Data Science and Soft Computing. IRICT 2018. Advances in Intelligent Systems and Computing, vol 843. Springer, Cham. https://doi.org/10.1007/978-3-319-99007-1_11

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