Global Learning for Operational Leaders
Course DMBI-005
Certified Open Data Management Techniques
Open data is transforming how governments, organizations, and industries share, analyze, and utilize information. The outline covers Introduction to Open Data Principles, Data Structuring and Metadata Management, Open Da...
- 5 daysClassroom or online
- 14Upcoming dates
- 4Cities
- €2,315Fees from
Classroom
14 sessions
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Online / Live
14 sessions
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Introduction
Course overview
Open data is transforming how governments, organizations, and industries share, analyze, and utilize information. Effective open data management enables transparency, innovation, improved decision-making, and better public and organizational services. This course provides participants with a comprehensive understanding of open data principles, governance models, data publishing standards, and management techniques. Participants will learn how to structure, clean, publish, and maintain open datasets while ensuring quality, security, and usability for stakeholders.
What you will achieve
Learning objectives
- Understand the principles and benefits of open data
- Identify suitable datasets for open data publishing
- Apply open data standards and metadata structures
- Manage data quality, consistency, and integrity
- Design open data governance frameworks
- Publish and maintain datasets in open data platforms
- Ensure privacy, security, and compliance in open data sharing
- Support transparency and data-driven decision-making
Who should attend
Target audience
- Data Managers and Data Analysts
- Government and Public Sector Employees
- IT and Digital Transformation Teams
- Policy Makers and Compliance Officers
- Researchers and Academic Professionals
- Professionals involved in data publishing or governance
Methodology
Learning approach
- This course combines conceptual learning with practical, hands-on exercises using real open data examples. Participants will work on data structuring, cleaning, and publishing scenarios. Case studies from government open data portals and international best practices will be analyzed. Group activities and workshops will focus on designing open data frameworks, metadata standards, and data lifecycle management approaches.
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Introduction to Open Data Principles
- What is open data and why it matters
- Benefits for government, business, and society
- Open data ecosystem and stakeholders
- Coffee break
- Open data ecosystem and stakeholders (continued)
- Types of open data and use cases
- Global open data initiatives and standards
Day 2
Data Structuring and Metadata Management
- Data formats (CSV, JSON, XML, APIs)
- Data cleaning and preparation techniques
- Metadata standards and documentation
- Coffee break
- Metadata standards and documentation (continued)
- Data classification and categorization
- Ensuring data usability and accessibility
Day 3
Open Data Governance and Policies
- Open data governance frameworks
- Roles and responsibilities in data management
- Data ownership and accountability
- Coffee break
- Data ownership and accountability (continued)
- Licensing models (open licenses, restrictions)
- Ethical considerations in data publishing
Day 4
Data Publishing and Platform Management
- Open data portals and platforms overview
- Data publishing workflows and processes
- API integration and data sharing mechanisms
- Coffee break
- API integration and data sharing mechanisms (continued)
- Data updating and version control
- Monitoring data usage and feedback
Day 5
Advanced Practices and Implementation
- Data privacy and security considerations
- Managing sensitive vs non-sensitive data
- Case studies of successful open data programs
- Coffee break
- Case studies of successful open data programs (continued)
- Building an organizational open data strategy
- Final project: designing an open data framework
Course FAQs
Questions about this course
What participants and training managers usually ask before booking Certified Open Data Management Techniques. Can't find your answer?
What does Certified Open Data Management Techniques (DMBI-005) cover?
This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 16 - 20 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Data Managers and Data Analysts, Government and Public Sector Employees, IT and Digital Transformation Teams
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Barcelona, Munich, Amsterdam, London.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
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