A Minimal Book Example
About
Publication information
Executive Summary
Acknowledgements
List of acronyms and abbreviations
1
About this Data Toolbox
1.1
Overview – About this Data Toolbox
1.1.1
How this document is structured
1.2
SDI for MSP – Why is it important and what are the benefits?
1.2.1
Why is SDI important for MSP?
1.2.2
What are the benefits of SDI for MSP?
1.3
SDI basics – Key concepts, principles and terminology
1.3.1
Spatial Data Infrastructure
1.3.2
Marine spatial planning
{ch1-3-2}
1.3.3
Spatial data infrastructure for marine spatial planning
1.3.4
The fundamental elements of an SDI:
1.3.5
Data and Metadata
2
Getting started with your SDI
2.1
Task 1: Identify the SDI supporting agency and set up working groups
2.2
Task 2: Identify stakeholders and right-holders
2.3
Task 3: Assess user needs
2.4
Task 4: Define vision, goals, objectives
2.5
Task 5: Define the SDI framework
2.6
Task 6: Identify boundaries for data assessments
2.7
Task 7: Identify data and data collection plan
2.8
Task 8: Identify the SDI connectivity
2.9
Task 9: Set up the SDI documentation plan
3
Data for SDI
3.1
Data fundamentals: Subject data and metadata
3.1.1
Subject data
3.1.2
Metadata
3.2
Data architecture
3.2.1
Data structure and format
3.2.2
Database Management System
3.2.3
Data storage
3.2.4
SDI connectivity and interoperability
3.2.5
Data analysis, visualisation and access options
3.2.6
Data maintenance - Data and Information Lifecycle Management
3.3
Good practices for data
3.3.1
Data principles serving as guidelines for SDIs
3.3.2
Data management and quality
3.3.3
Data accessibility and sharing
4
Web architecture
4.1
Connectivity and interoperability
4.2
Enhancing performance and scalability – dealing with growing data volumes
{ch4-2}
4.3
Data security considerations for SDI web architecture
4.4
Web portal accessibility
4.4.1
Ease and speed of user access
4.4.2
Data visualisation through web portal
4.4.3
Data download
5
Data security, privacy and safety
5.1
Geospatial data sensitivity – definitions
5.2
Enable safe data sharing and trust building
5.3
Strategies for managing sensitive data
5.3.1
PEOPLE: Human resources for data security
5.3.2
PROCESS: Framework, processes and policy for data security
5.3.3
TECHNOLOGY: Technology solutions for data security
6
SDI governance and setup
6.1
Institutional and policy framework
6.2
Data management, quality and technological data standards
6.2.1
Data suitability for MSP
6.2.2
Challenges in data management
6.3
Facilitation of data sharing – data sharing agreements, incl. Indigenous Data
6.4
Communication, engagement and collaboration
6.5
Human resources
6.5.1
Staff expertise
6.5.2
Capacity development
6.5.3
Ensuring continuity and stability
6.5.4
Managing the impact of personnel changes
7
Monitoring, Evaluation and Adaptation
7.1
Methods for SDI Monitoring and Evaluation
7.2
Establishing success criteria for the SDI
7.2.1
Key Performance Indicators (KPIs)
7.2.2
Service Level Indicators, Objectives and Agreements
7.3
Evaluating and improving the SDI
8
References
9
Annexes
Published with bookdown
MSPglobal Data Toolbox
MSPglobal Data Toolbox
UNESCO-IOC
2025-05-31