Open Data in Practice

This intensive, practical, five day course is an introduction to the technical, commercial and legal aspects of open data. It aims to highlight key opportunities for working with open data and how they can be exploited across government, business and society.

The course is designed to enable anyone to understand how to publish, consume and exploit open data as well as give an understanding of best practice, law, licensing and policy issues.

Key to the course is for participants to gain hands on experience through the week. This will culminate in a day of making, giving attendees time and support in applying learning to their own work to help ensure new skills are fully transferable.

The course will cover:

Example course outline

  Monday Tuesday Wednesday Thursday Friday
Morning Discovering open data Law and licensing Validating and cleaning data Open data business models Summing up: benefits realisation
Afternoon 1. Evolution of open data on the web Best practice for publishing open data Enriching, visualising and interacting with data Opportunities recognition Making: putting open data into practice*
Afternoon 2. Hands on: web of data Hands on: Open Data Certificates Hands on: cleaning and visualising data Meet the ODI startups Attendee presentations and prizes
Evening     Dinner (optional) Networking drinks (optional)  

The final day gives attendees time and support in applying learning to their own work to help ensure new skills are fully transferable.

By the end of the course you will…

  • Have an overview of open data, areas of application, benefits and risks
  • Have an understanding of the evolution of the web and mechanisms for discovering open data on the web
  • Understand the vocabulary around open data, linked data and the semantic web
  • Examine how law and licencing affects the publication and usage of open data around the world
  • Have a practical understanding of platforms and techniques used in publishing open data
  • Be able to utilise a number of best practice guidelines for publishing different types and scales of open data
  • Be able to apply a number of cleaning and validation tools to improve the quality of open data
  • Be able to enrich and visualise a number of datasets and evaluate different approaches for interacting with data
  • Be able to appraise a number of corporate open data strategies and formulate original business models Critically evaluate opportunities to commercialise and innovate using open data
  • Have developed an ability to share and brief others on benefits of open data

Who is this for?

Open data practitioners, policy officials and advisors, account and project managers, statisticians and analysts, strategists, entrepreneurs, business developers, ICT suppliers, knowledge managers, policy owners, developers, information architects, journalists, research and intelligence.

Course prerequisites

No previous experience of data required, however good computer literacy is essential and comfort with using the web and spreadsheets an advantage.

Course requirements

A Wi-Fi enabled laptop, on which you have access to install software. iPads, tablets and mobile devices will not be suitable for hands-on sessions. Locked down corporate or public sector laptops may not be suitable to use for this course due to security limitations, please check with ODI before attending.

Previous course materials

Materials from previous courses are now available via the dedicated course website.