The Interrelationship between Records Management and Big Data: Challenges, Opportunities, and Future Directions

Authors

  • Nor Sakila Asnawi Faculty of Information Science, Universiti Teknologi MARA, Cawangan Segamat, Johor Malaysia, 85000 Segamat, Johor
  • Irwan Kamaruddin Abd Kadir Faculty of Information Science, Universiti Teknologi MARA, Puncak Perdana , Selangor Malaysia, 40450 Shah Alam, Selangor
  • Alwi Mohd Yunus Faculty of Information Science, Universiti Teknologi MARA, Puncak Perdana , Selangor Malaysia, 40450 Shah Alam, Selangor

DOI:

https://doi.org/10.24191/jikm.v15i1.4536

Abstract

Big data has changed how organizations handle information, but it also brings challenges that need better management. This paper emphasizes that effective records management is crucial for making the most of big data. By providing clear guidelines for managing data, records management ensures data is accurate, reliable, and accessible, which helps in gaining valuable insights. Records management helps with organizing and preserving large amounts of data, covering everything from creation to storage. It also ensures compliance with regulations, reducing risks of data breaches and legal issues.The paper discusses how integrating strong records management practices into big data strategies can improve data quality and decision-making. Well-organized records make it easier to handle big data and use it effectively. By reviewing current research and real-world examples, the paper shows how records management is key to getting the best results from big data. It offers recommendations for combining records management with big data efforts to improve data governance, security, and usefulness

References

Agarwal, R. (2021). Big data governance: Best practices for managing information assets. Springer.

Alhassan, I., Sammon, D., & Daly, M. (2018). Data governance activities: An analysis of the literature. Journal of Decision Systems, 27(1), 64-100.

Almeida, J. (2017). Managing big data: Key concepts and technologies. Data Management Journal, 14(3), 45-59.

Alwi, M. Y., & Nik Ariffin, N. A. (2013). Records management: An essential component in organizational processes. Journal of Records Management, 29(2), 123-145.

Bhatnagar, R. (2019). Artificial Intelligence in big data management: A review. Journal of Computer Science and Technology, 34(4), 567-579.

Bomatpalli, G., & Vemulkar, R. (2016). IoT applications and their impact on human life. International Journal of IoT and Digital Convergence, 12(3), 215-225.

Bomatpalli, S., & Vemulkar, S. (2016). The impact of IoT on big data management. Journal of Information Technology, 22(4), 200-210.

Christidis, K., & Devetsikiotis, M. (2016). Blockchains and smart contracts for the Internet of Things. IEEE Access, 4, 2292-2303.

Davenport, T. H. (2013). Big data at work: Dispelling the myths, uncovering the opportunities. Harvard Business Review Press.

Gulia, A., & Chahal, S. (2020). Structured vs. unstructured data: Understanding the difference. Journal of Data Management, 35(4), 245-259.

Green, D. (2015). Big data analytics: The future of data management. Data Science Review, 22(1), 55-62.

International Organization for Standardization. (2016). ISO 15489-1:2016 – Information and documentation – Records management – Part 1: Concepts and principles. ISO.

Kumar, A., & Kapoor, S. (2021). Automated data classification using machine learning algorithms. Data Science Journal, 20(1), 101-115.

Mawed, S., & Al-Hajj, R. (2016). Managing structured and unstructured data: A comprehensive approach. Information Systems Journal, 28(6), 117-132.

McDonald, J. (2020). Digital records management in the era of big data: Challenges and future directions. Records Management Journal, 30(2), 78-92. https://doi.org/10.1108/RMJ-03-20200021

Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Retrieved from https://bitcoin.org/bitcoin.pdf

National Archives. (2010). Records management: A guide to managing records and information. National Archives Publishing.

Su, J. (2018). Semi-structured data management: Techniques and tools. Proceedings of the International Conference on Data Science, 15(3), 89-98.

Siti Aisyah Ismail, S., Ali, F., & Omar, N. (2018). The growth of big data: Trends and challenges. Journal of Information Technology and Data Science, 45(2), 101-115.

Tapscott, D., & Tapscott, A. (2016). Blockchain revolution: How the technology behind bitcoin is changing money, business, and the world. Penguin.

Tengku Adil, T., & Mohd Shamsul, A. (2018). The complexities of big data: Challenges and solutions. Journal of Advanced Data Analytics, 30(2), 143-160.

Yaswanth Sai, P. (2017). The role of IoT in big data analytics. Journal of IoT and Big Data Research, 10(1), 76-89.

Yaswanth Sai, P. (2017). The role of the Internet of Things in big data. Journal of Emerging Technologies, 9(2), 65-78.

Yusof, Z. M., & Chell, R. W. (2019). Records management in digital transformation: The case of Malaysian enterprises. Information & Management, 56(4), 512-525.

Zhang, X., & Zheng, W. (2021). The impact of effective records management on organizational efficiency and compliance. Journal of Information Management, 45(3), 230-245.

International Organization for Standardization. (2016). ISO 15489-1:2016 – Information and documentation – Records management – Part 1: Concepts and principles. ISO.

Zhang, Y., & Zheng, Y. (2020). Machine learning for big data classification: A survey. Big Data Research, 24, 100-118.

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Published

01-04-2025

How to Cite

Asnawi, N. S., Abd Kadir, I. K., & Mohd Yunus, A. . (2025). The Interrelationship between Records Management and Big Data: Challenges, Opportunities, and Future Directions. Journal of Information and Knowledge Management, 15(1), 71–81. https://doi.org/10.24191/jikm.v15i1.4536

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Articles