Data Governance Strategies for Maintaining Data Integrity

  • Jordon Smith Department of Computer Science, University of California
  • Revathi Bommu University of Illinois Springfield, One University Plaza, Springfield, IL 62703
Keywords: Data Governance, Data Integrity, Data Quality, Data Lifecycle Management, Data Stewardship, Data Governance Framework, , Data Governance Best Practices, Data Trustworthiness, Data Governance Technology, Data Compliance

Abstract

Data governance is crucial for maintaining data integrity in an era where data is abundant, diverse, and constantly evolving. This paper explores effective data governance strategies to preserve data integrity. It delves into the importance of data governance, the challenges it addresses, and the best practices organizations can implement. Key topics include data quality, data lifecycle management, data stewardship, and the role of technology in supporting data governance. By examining real-world case studies and industry standards, this paper provides valuable insights for organizations seeking to establish robust data governance frameworks that ensure data integrity, reliability, and trustworthiness.

Published
2021-06-11
How to Cite
Jordon Smith, & Revathi Bommu. (2021). Data Governance Strategies for Maintaining Data Integrity. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 5(2), 52-85. Retrieved from https://ijcst.com.pk/index.php/IJCST/article/view/312