"Data Integrity and Data Governance" ed. by B. Santhosh Kumar

This book provides a comprehensive overview of data integrity and data governance and their myriad applications.

Data integrity is the overall accuracy, completeness, and consistency of data. Data integrity also refers to the safety of data regarding regulatory compliance, such as GDPR compliance, and security. It is maintained by a collection of processes, rules, and standards implemented during the design phase. Data governance is the process of managing the availability, usability, integrity, and security of the data in enterprise systems, based on internal data standards and policies that also control data usage. Effective data governance ensures that data is consistent and trustworthy and does not get misused.

Contents
1. Data Integrity and Data Governance
2. Data Quality Measurement Based on Domain-Specific Information
3. Multiplicative Data Perturbation Using Random Rotation Method
4. FAIR Data Model for Chemical Substances: Development Challenges, Management Strategies, and Applications
5. Ethical Considerations for Health Research Data Governance
6. Predictive Data Analysis Using Linear Regression and Random Forest
7. Field Programmable Reconfigurable Mesh (FPRM)


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