Building Healthy Data Ecosystems

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

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.