Mastering Data Quality Evaluation: ISO 19157:2023Practical Implementation in Geospatial Data ManagementTrim Size: 8.5 × 11 inches
IntroductionIn today's data-driven world, the accuracy and reliability of geospatial information define the success of digital transformation, planning, and decision-making. Mastering Data Quality Evaluation: ISO 19157:2023 translates the complex requirements of the international standard into clear, practical guidance for professionals responsible for geospatial data management.
This book provides a complete framework for understanding and applying ISO 19157:2023 principles, offering practical methods for evaluating data quality, documenting results, and ensuring long-term compliance. Readers will gain the tools needed to build datasets that are accurate, consistent, and trusted across global systems.
Key Benefits- Improved Data Integrity: Learn how to assess completeness, accuracy, consistency, and usability in accordance with ISO 19157:2023.
- Actionable Implementation: Follow practical, step-by-step guidance to embed quality evaluation into everyday geospatial workflows.
- International Alignment: Ensure data interoperability and compliance with global quality frameworks.
- Enhanced Decision-Making: Use reliable data to support policy, research, and innovation.
- Audit Readiness: Understand the standard's conformance and compliance requirements for ISO certification.
- Future-Oriented Approach: Integrate data quality evaluation with AI-based and automated systems.
Why Choose This BookUnlike overly technical manuals, this guide is written in clear, professional language that emphasizes usability and practical outcomes. It bridges theory and real-world application, helping geospatial professionals, quality managers, auditors, and decision-makers implement ISO 19157 effectively. improvement.
Who Should Read This Book- Geospatial and GIS data professionals
- Data governance and quality managers
- Compliance officers and ISO auditors
- Researchers, planners, and policy makers in geospatial domains
How You Will Learn- Real-world examples of ISO 19157 application across industries and governments
- Practical tables, templates, and reporting checklists
- Case studies integrating automation and AI into quality evaluation
- Guidance on sustaining high data quality in dynamic digital environments
Order now to advance your organization's data quality and compliance practices.
