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National Road Network Data Governance & Information Management: Power Road Infrastructure With Data

Introduction:

National Road Network Data Governance and Information Management empowers professionals to establish robust national databases and data sharing protocols for efficient road infrastructure management. This course focuses on developing data governance frameworks, implementing data management systems, and ensuring data security and accessibility. Participants will learn how to collect, store, analyze, and share road network data to inform strategic decision-making and improve infrastructure performance. This course bridges the gap between traditional road management and the digital era, empowering professionals to leverage data for a smarter, more efficient national road network.

Target Audience:

This course is designed for road engineers, data analysts, and government officials involved in the management and information systems of national road networks, including:

  • Data Managers
  • Road Network Managers
  • Government Road Officials
  • Infrastructure Asset Managers
  • GIS Specialists
  • Data Analysts
  • Policy Makers

Course Objectives:

Upon completion of this National Road Network Data Governance and Information Management course, participants will be able to:

  • Understand the principles and applications of data governance in road network management.
  • Establish national road network databases and data management systems.
  • Implement data sharing protocols and data access policies.
  • Understand the role of data standards and metadata in road network data management.
  • Implement strategies for data quality control and assurance.
  • Understand the principles of data security and privacy in road network information management.
  • Implement strategies for data integration and interoperability.
  • Understand the role of geographic information systems (GIS) in road network data management.
  • Implement strategies for data analytics and reporting for road network evaluation.
  • Understand the role of data governance in supporting evidence-based decision-making.
  • Implement strategies for data lifecycle management and archival.
  • Enhance their ability to manage and govern national road network data effectively.
  • Improve their organization's data management and information sharing capabilities.
  • Contribute to the development of a data-driven national road network management system.
  • Stay up-to-date with the latest trends and best practices in data governance and information management.
  • Become a more knowledgeable and effective data management professional in road infrastructure.
  • Understand ethical considerations in data collection, sharing, and usage.
  • Learn how to use data management and GIS tools effectively for road network data.

Duration

10 Days

Course Content

Module 1: Introduction to National Road Network Data Governance and Information Management

  • Overview of data governance and information management principles.
  • Understanding the importance of data in road network management.
  • Introduction to national road network data challenges and opportunities.
  • Review of relevant national and international data standards.
  • Setting the stage for building a data-driven road network.

Module 2: Data Governance Frameworks for Road Network Data

  • Understanding the principles of data governance and its components (policies, roles, processes).
  • Developing data governance frameworks for national road network data.
  • Implementing data ownership and stewardship roles.
  • Establishing data access and usage policies.
  • Understanding the importance of data governance committees.

Module 3: Establishing National Road Network Databases and Data Management Systems

  • Understanding database design and architecture for road network data.
  • Implementing relational and geospatial databases for road infrastructure.
  • Utilizing data management systems for data storage, retrieval, and analysis.
  • Understanding the role of data dictionaries and metadata repositories.
  • Understanding the importance of data backups and disaster recovery.

Module 4: Data Sharing Protocols and Data Access Policies

  • Implementing data sharing protocols for internal and external stakeholders.
  • Developing data access policies and procedures.
  • Utilizing data sharing platforms and APIs.
  • Understanding the role of data licensing and agreements.
  • Understanding the importance of data usage agreements.

Module 5: Data Standards and Metadata in Road Network Data Management

  • Understanding the importance of data standards and metadata.
  • Implementing national and international data standards for road infrastructure data.
  • Developing metadata schemas and documentation.
  • Utilizing metadata management tools and techniques.
  • Understanding the importance of semantic interoperability.

Module 6: Data Quality Control and Assurance

  • Implementing data quality control procedures and techniques.
  • Utilizing data validation and verification methods.
  • Analyzing data quality metrics and identifying data errors.
  • Implementing data quality assurance audits and inspections.
  • Understanding the importance of data cleansing.

Module 7: Data Security and Privacy in Road Network Information Management

  • Understanding data security threats and vulnerabilities in road network data.
  • Implementing data encryption and access control techniques.
  • Utilizing data anonymization and privacy-preserving methods.
  • Addressing regulatory compliance and data protection requirements.
  • Understanding the importance of cybersecurity.

Module 8: Data Integration and Interoperability

  • Implementing data integration strategies for combining data from different sources.
  • Utilizing data transformation and ETL (Extract, Transform, Load) processes.
  • Understanding the role of data warehouses and data lakes.
  • Implementing data interoperability standards and protocols.
  • Understanding the importance of API management.

Module 9: Geographic Information Systems (GIS) in Road Network Data Management

  • Utilizing GIS for spatial data management and analysis.
  • Implementing GIS applications for road network visualization and mapping.
  • Utilizing GIS for network analysis and route optimization.
  • Understanding the role of geocoding and spatial databases.
  • Understanding the importance of spatial data standards.

Module 10: Data Analytics and Reporting for Road Network Evaluation

  • Implementing data analytics techniques for road network performance evaluation.
  • Utilizing data visualization tools for reporting and communication.
  • Developing performance dashboards and reports for stakeholders.
  • Analyzing traffic flow, safety, and infrastructure condition data.
  • Understanding the importance of predictive analytics.

Module 11: Data Governance in Supporting Evidence-Based Decision-Making

  • Understanding the role of data governance in supporting evidence-based decision-making.
  • Implementing data-driven decision-making processes for road network management.
  • Utilizing data analytics for policy development and planning.
  • Understanding the importance of data literacy.
  • Understanding the use of data driven performance management.

Module 12: Data Lifecycle Management and Archival

  • Implementing data lifecycle management strategies for road network data.
  • Utilizing data archival and backup procedures.
  • Understanding data retention policies and regulations.
  • Implementing data migration and modernization strategies.
  • Understanding the importance of metadata preservation.

Module 13: Data Sharing and Collaboration Platforms

  • Utilizing data sharing and collaboration platforms for road network data.
  • Implementing data portals and open data initiatives.
  • Understanding the role of data sharing agreements and partnerships.
  • Utilizing data visualization tools for collaborative analysis.
  • Understanding the importance of data versioning.

Module 14: Case Studies and Best Practices in National Road Network Data Governance and Information Management

  • Analyzing real-world case studies of national road network data governance and information management.
  • Learning from successful and unsuccessful projects.
  • Identifying best practices for data collection, storage, and analysis.
  • Discussing the challenges and opportunities of implementing data-driven road network management.
  • Sharing knowledge and lessons learned from different regions and contexts.

Module 15: Future Trends and Implementation Strategies

  • Exploring emerging trends in data governance and information management for road networks (big data, AI, IoT).
  • Understanding the impact of evolving technologies and policies on data management.
  • Discussing research directions and opportunities for innovation.
  • Developing a roadmap for continuous improvement in data governance and information management capabilities.
  • Staying up-to-date with the latest advancements in data science and information technology.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world.

The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 5 working days before commencement of the training.

Course Schedule
Dates Fees Location Apply
07/04/2025 - 18/04/2025 $3000 Nairobi
14/04/2025 - 25/04/2025 $3500 Mombasa
14/04/2025 - 25/04/2025 $3000 Nairobi
05/05/2025 - 16/05/2025 $3000 Nairobi
12/05/2025 - 23/05/2025 $5500 Dubai
19/05/2025 - 30/05/2025 $3000 Nairobi
02/06/2025 - 13/06/2025 $3000 Nairobi
09/06/2025 - 20/06/2025 $3500 Mombasa
16/06/2025 - 27/06/2025 $3000 Nairobi
07/07/2025 - 18/07/2025 $3000 Nairobi
14/07/2025 - 25/07/2025 $5500 Johannesburg
14/07/2025 - 25/07/2025 $3000 Nairobi
04/08/2025 - 15/08/2025 $3000 Nairobi
11/08/2025 - 22/08/2025 $3500 Mombasa
18/08/2025 - 29/08/2025 $3000 Nairobi
01/09/2025 - 12/09/2025 $3000 Nairobi
08/09/2025 - 19/09/2025 $4500 Dar es Salaam
15/09/2025 - 26/09/2025 $3000 Nairobi
06/10/2025 - 17/10/2025 $3000 Nairobi
13/10/2025 - 24/10/2025 $4500 Kigali
20/10/2025 - 31/10/2025 $3000 Nairobi
03/11/2025 - 14/11/2025 $3000 Nairobi
10/11/2025 - 21/11/2025 $3500 Mombasa
17/11/2025 - 28/11/2025 $3000 Nairobi
01/12/2025 - 12/12/2025 $3000 Nairobi
08/12/2025 - 19/12/2025 $3000 Nairobi