Documenting Development Data Using Metadata Standards

Make your data AI ready with metadata!

Learn how to create high-quality, standards-based metadata that improves data discoverability, supports reuse, and ensures readiness for AI applications. This course is tailored for data producers and curators from government agencies, international organizations, academic data centers, and other entities engaged in the collection, management, and dissemination of data.

It highlights the importance of creating comprehensive and structured metadata in improving data credibility, discoverability, and usability and provides hands-on guidance on creating quality metadata compliant with international metadata standards and best practice using a specialized software, the Metadata Editor.

  • Duration

    15 hours

  • Videos

    7 hours

  • Training typology

    Self-paced e-Learning

  • Certification

    Upon Completion
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Enrollment to the course is now open!

For the trainees enrolled, the content will be available starting from September 25, 2025.

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What's included?

  • Videos
  • Text materials
  • Practice materials
  • Assessment
  • Certification

Learning Objectives

  • Explain the importance of metadata and metadata standards in improving data credibility, discoverability, accessibility, and usability.
  • Demonstrate the process of creating quality metadata using the Metadata Editor.
  • Apply best practices in metadata creation.

Who we are looking for

  • Data producers
  • Data curators
  • Data librarians
  • Data catalog administrators
  • Data management and dissemination developers

Course Lessons

Meet our core team

Olivier Dupriez
Deputy Chief Statistician
World Bank Development Data Group
Mehmood Asghar
Senior Data Scientist
World Bank Development Data Group

Our partners