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Building Healthy Data Ecosystems

Strategies for building healthy data ecosystems

In this four-part series of 2.5 hour training courses, our experts will help you address common fears and misconceptions that can stop data getting to those who need it.

At the end of each session, participants will be equipped with a series of tools, guides and additional learning materials, ensuring that knowledge can be expanded and new skills applied in a real environment. 

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Delivery: Blended
Study Hours: 10 h
Duration: 4 sessions
ODI members price:
£680 + VAT
Early bird price:
£720 + VAT
General admission price:
£800 + VAT
Early bird available if purchased 3 months prior to start date

To ensure inclusivity, we offer discounted pricing for customers from lower or middle-income countries.
Please contact us for further information.

If you represent a business interested in purchasing four or more course spaces, please reach out to us for personalised discounted rates.

More about the course

Who is this course for?

This course is perfect for those working with data: managers, policy-makers, technologists, directors, and those working in knowledge and transparency. This intensive, practical course has been carefully designed so you can apply your learnings to your work or project, problem solve, or create new opportunities.

Course prerequisites

Some knowledge of open data is required.

Additionally, you can take a look at the first two eLearning modules from our FREE Open Data Essentials course. Each module will take around 10 minutes to complete.

Learning experience and course delivery

By the end of the course you will be able to:

  • Confidently work within your own ecosystems and begin to create strategies for building healthy data ecosystems.
  • Correctly classify data as open, shared and closed and apply appropriate licences or data sharing agreements to maximise the impact from data
  • Minimise risk and maximise opportunities when working with personal data.
  • Improve the quality and interoperability of data and help others to overcome fears about data quality.

Course Sessions

Data ecosystems: Strategies for change and barriers to success

The aim of this session is to enable participants to confidently work within their own ecosystems and begin to apply ecosystem mapping and theories of change to help create strategies for building healthy data ecosystems.

By the end of this session participants will have:

  • Identified a number of fears and barriers that prevent data being shared as openly as possible
  • Devised a number of potential activities that help overcome common fears and barriers and form these into a theory of change.
  • Created a simple open data ecosystem map in order to prioritise actors to be involved in activities
Understanding the role of open, shared and closed data in a data ecosystem

The aim of this session is to enable participants to correctly classify data as open, shared and closed. This session focuses on the legal aspects of accessing and providing access to data and how proper licenses can protect and benefit both the publisher and user of data.

By the end of this session participants will be able to:

  • List the factors that determine if data should be open, shared or closed.
  • Apply these factors to construct a data spectrum.
  • List the core components of a open, shared and closed license for data
  • Describe a number of existing licenses that support wider data sharing
Working with personal data

The aim of this session is to enable participants to help organisations minimise risk and maximise opportunities when working with personal data.This session addresses the myths and misconceptions around what personal data is and isn't, boosts confidence in data protection regulations and equip participants with practical steps that can be shared with others to minimise risk and maximising opportunities when working with personal data.

By the end of this session participants will be able to:

  • Identify different types of personal data
  • Describe the role of data protection regulations
  • Explain the rights of data owners, organisations and individuals over personal data
  • Apply a number of techniques to minimise risk and maximise opportunities when working with personal data
Improving the quality and interoperability of data

The aim of this session is to enable participants to work with organisations to overcome fears about the quality of data and apply tools and techniques to improve the quality and interoperability of data.

By the end of this session participants will be able to:

  • Identify common quality issues in data
  • Describe the role of standards in open data
  • Apply a number of techniques to improve the quality and interoperability of data
Course Cost

This course can be run for groups of up to 18 people. And, we can tailor our content to your context and needs.

We can work with you to identify the data skills required across your business, creating training that meets your organisation’s needs.

Contact our Data Skills Experts to discuss how we can improve your organisations data literacy.



What you'll learn

Confidently work within your own ecosystems and begin to create strategies for building healthy data ecosystems
Minimise risk and maximise opportunities when working with personal data
Correctly classify data as open, shared and closed and apply appropriate licences or data sharing agreements to maximise the impact from data
Improve the quality and interoperability of data and help others to overcome fears about data quality

Course instructors

Dr David Tarrant
Dr David Tarrant
Academic Lead
Lucy Knight
Lucy Knight
Data Trainer
Digital Analyst, Boots

"The assignments were the highlight of the course. They were well designed – it’s good to use real live data from a different sphere than I’m used to working in. And I really liked how they built on the previous assignment learnings.”

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