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Open Data and Knowledge Sharing Training Course
Introduction
Open data and knowledge sharing are key pillars for driving transparency, innovation, and collaboration in both public and private sectors. By making data and knowledge freely accessible, organizations can accelerate decision-making, foster innovation, and create opportunities for collaboration across industries and communities.
This course will explore how to unlock the potential of open data and implement effective knowledge sharing practices within an organization. Participants will gain an understanding of the principles, tools, and strategies required to leverage open data and foster a knowledge-sharing culture that can benefit both internal teams and the broader community.
Target Audience
This course is designed for:
Course Objectives
By the end of this training, participants will be able to:
✅ Understand the principles of open data and its impact on organizational growth and transparency
✅ Implement effective strategies for sharing knowledge within and outside the organization
✅ Identify and overcome barriers to open data and knowledge sharing
✅ Use open data platforms and tools to make data accessible and usable
✅ Foster a culture of collaboration, innovation, and continuous learning
✅ Ensure compliance with legal, ethical, and privacy considerations in open data initiatives
✅ Measure the success and impact of open data and knowledge sharing activities
Course Modules
Module 1: Introduction to Open Data and Knowledge Sharing
Module 2: Open Data Policies and Legal Frameworks
Module 3: Open Data Platforms and Tools
Module 4: Building a Knowledge Sharing Culture
Module 5: Data Quality and Metadata for Open Data
Module 6: Engaging Stakeholders in Open Data and Knowledge Sharing
Module 7: Measuring and Evaluating Open Data and Knowledge Sharing Initiatives
Module 8: Sustainability and Scaling of Open Data and Knowledge Sharing Practices
General remarks
Start & End Date | Location | Fee (USD) | Register |
Jan 5- Jan 9, 2026 | Kigali | 2,850 | |
Jan 26-Jan 30, 2026 | Mombasa | 1,450 | |
Feb 2- Feb 6, 2026 | Nairobi | 1,150 | |
Feb 2- Feb 6, 2026 | Pretoria | 4,000 | |
Mar 2- Mar 6, 2026 | Nairobi | 1,150 | |
Mar 23- Mar 27, 2026 | Dar es Salaam | 2,850 | |
Apr 6- Apr 10, 2026 | Nairobi | 1,150 | |
Apr 20- Apr 24, 2026 | Nairobi | 1,150 | |
May 4- May 8, 2026 | Mombasa | 1,450 | |
May 25- May 29, 2026 | Nairobi | 1,150 | |
June 1- June 5, 2026 | Kigali | 2,850 | |
June 22- June 26, 2026 | Nairobi | 1,150 | |
July 6- July 10, 2026 | Dar es Salaam | 2,850 | |
Aug 3- Aug 7, 2026 | Nairobi | 1,150 | |
Aug 24- Aug 28, 2026 | Pretoria | 4,000 | |
Sep 7- Sept 11, 2026 | Nairobi | 1,150 | |
Sep 21- Sept 25, 2026 | Mombasa | 1,450 | |
Oct 5- Oct 9, 2026 | Nairobi | 1,150 | |
Oct 5- Oct 9, 2026 | Kigali | 2,850 | |
Nov 2- Nov 6, 2026 | Nairobi | 1,150 | |
Nov 23- Nov 27, 2026 | Dar es Salam | 2,850 | |
Dec 7- Dec 11, 2026 | Nairobi | 1,150 |
Start & End Date | Fee (USD) | Register |
Jan 5-Jan 9, 2026 | 800 | |
Jan 26-Jan 30, 2026 | 800 | |
Feb 2- Feb 6, 2026 | 800 | |
Feb 23- Feb 27, 2026 | 800 | |
Mar 2- Mar 6, 2026 | 800 | |
Mar 23- Mar 27, 2026 | 800 | |
Apr 6 – Apr 10, 2026 | 800 | |
Apr 20 – Apr 24, 2026 | 800 | |
May 4 – May 8 , 2026 | 800 | |
Jun 1 – Jun 5, 2026 | 800 | |
Jun 22 – Jun 26, 2026 | 800 | |
July 6 – July 10, 2026 | 800 | |
July 27 – July, 2026 | 800 | |
Aug 3 – Aug 7, 2026 | 800 | |
Aug 24 – Aug 28, 2026 | 800 | |
Sept 7 – Sept 11, 2026 | 800 | |
Sept 21– Sept 25, 2026 | 800 | |
Oct 5 – Oct 9, 2026 | 800 | |
Oct 26 – Oct 30, 2026 | 800 | |
Nov 9 – Nov 13, 2026 | 800 | |
Dec 7 – Dec 11, 2026 | 800 |
The growing volume and complexity of records and data in organizations pose significant challenges in classification, retrieval, and management. Traditional methods of record classification can be time-consuming and prone to errors. Artificial intelligence (AI) is revolutionizing records management by enabling automated,
Open data and knowledge sharing are key pillars for driving transparency, innovation, and collaboration in both public and private sectors. By making data and knowledge freely accessible,
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Effective records management in healthcare is crucial for ensuring patient safety, compliance with regulations, and operational efficiency. With the increasing digitization of medical records,
Innovation thrives in environments where knowledge is effectively managed, shared, and leveraged. Knowledge Management (KM) is essential for fostering creativity, driving continuous improvement, and maintaining a competitive edge.
The exponential growth of data in today’s digital world presents both opportunities and challenges for organizations. Big Data—characterized by its volume, velocity, variety, and complexity—requires innovative approaches to records management to ensure data is organized, accessible, secure, and compliant with regulatory requirements.
In an era where data is one of the most valuable assets for organizations, effective Information Governance (IG) is essential to ensure data is managed responsibly, securely, and in compliance with regulatory requirements. Information Governance Frameworks provide a structured approach to managing information assets, balancing risk, compliance, and value creation.
In the digital age, governments worldwide are transitioning to electronic governance (e-Governance) to improve transparency, efficiency, and public service delivery. Effective records management is critical for ensuring compliance, security, and accessibility of government records in this digital transformation.
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