
Mastering Data Quality Evaluation: ISO 19157:2023: Practical Implementation in Geospatial Data Management
angela
Deskripsi
Mastering Data Quality Evaluation: ISO 19157:2023Practical Implementation in Geospatial Data ManagementTrim Size:8.5 × 11 inchesIntroductionIn 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 19157:2023translates 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 BenefitsImproved 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.Transparent Reporting:Develop traceable reports that meet audit and governance standards.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. Each chapter links key concepts to field practice, empowering organizations to adopt standardized data evaluation processes that lead to measurable im
Karya Terkait
Episode (97)
IMPORTANCE OF DATA QUALITY IN GEOSPATIAL INFORMATION
KEY GOALS AND RELEVANCE
3. SUPPORTING DATA INTEGRATION AND INTEROPERABILITY
4. IMPACT ON DECISION-MAKING ACROSS SECTORS
5. SUPPORTING NATIONAL AND INTERNATIONAL INITIATIVES
SUMMARY
CHAPTER 2
UNDERSTANDING THE STANDARD’S STRUCTURE
SUMMARY
PRINCIPLES OF DATA QUALITY (CLAUSE 4)