applying open data to your organisation - mel norman
TRANSCRIPT
Open Data & The Learning CycleApplying it to your open data
projectsTrainer: Mel Norman@melmediasauce
Learning Outcomes
Aim - Using learning theory to create successful open data projects
By the end of this workshop you will be able to:• Explain what makes a successful open data project• Explain what learning is• Describe Kolb’s learning cycle• Apply Kolb’s learning cycle to help improve your projects
Working with companies to integrate technology into their business model & strategy to grow their business.
Trainer & programme leader in Business + Open Data for the ODI
Digital Business Strategist for tech, open data & digital companies
24 years as an Entrepreneur 1000+ people trained
Clients include: BBC, Locatable, Royal Shakespeare Company, NixonMcinnes, UNESCO. Ex Film Producer
Mellissa – Media-Sauce
Name, Company, Role
About You
What is an open data project/initiative?
Open data projects/initiatives work to make data more accessible and re-useable
Exercise How do you know when an open data project is successful?
How do you know when an open data project is successful?
• Achieves its goals• Increases engagement (Internally and
externally)• Builds a community • Useful and valuable (Internally and externally)
Where do open data projects occur?
Step 3
Define boundariesWhat gets published?What license?Where are we publishing? Cc Wally-http://bit.ly/2dF3Fmt
Step 3
Define boundariesWhat gets published?What license?Where are we publishing? http://bit.ly/2f4fpAdhttp://bit.ly/2dWwuGv
Step 3
Define boundariesWhat gets published?What license?Where are we publishing? http://bit.ly/2f4fpAd
http://bit.ly/2fbLrt8
What could be the challenges for a large corporate company doing their first open data project?
What could be the challenges for a large corporate company doing their first open data project?
• What might their approach be?• How could it impact existing culture?• Would they get stuck? If so where?• What parts could be specifically
challenging?
What is ‘learning’?
“A process that leads to change, which occurs as a result of experience and increases the potential of improved performance and future learning.”
From How Learning Works: Seven Research-Based Principles for Smart Teaching by Susan Ambrose, et al
Who controls learning?
Kolb’s learning cycle
The learning cycle
DO - Concrete Experience
The activities, the doing part Do
The learning cycle
REVIEW - Reflection Observation
Processing learning pointsexperiences Review
The learning cycle
LEARN - Abstract Conceptualization
Introduction to theory, learning, approaches
ReviewLearn
The learning cycle
APPLY - Active experimentation
Transfer your learning to work/other situations ReviewLearnApply
Do Concrete Experience
LearnAbstract
Conceptualization
ReviewReflection
Observation
ApplyActive
experimentation
The learning cycle - Kolb
ExerciseOn the session plan, underline which part of the training session represents – • The doing • The review • The learn• The apply .
Sample session plan – Discussion - How might a large corporate company approach an open data project for the first time? –Question - What about a government department?Exercise - What is learning? About creating change- Individuals and companies. How does it happen? Who does it? How can you make it likely to happen?Review exerciseWhat is Kolb’s learning cycle? How it works.Brainstorm parts of a project based on your own experienceReview exerciseApply the learning cycle to a project/your projectWhat have you learnt from today, what can you take back to your organisation?
.
Do Concrete Experience
LearnAbstract
Conceptualization
ReviewReflection
Observation
ApplyActive
experimentation
The learning cycle - Kolb
Do Concrete Experience
LearnAbstract
Conceptualization
ReviewReflection
Observation
ApplyActive
experimentation
The learning cycle - Kolb
Applying Kolb’s learning cycle to an open data project.
Open data project steps, what are they?
Open data project steps The why and the who
Strategy and plan and budgetChoosing a team and training them
Development of detailed policy, processes and standardsLiaising with the organisation, dealing with culture changes
Finding the right datasetsLicenses, standards and cleaning
Choosing a data portalRunning the project
Outreach, capacity building and engagementCreating a feedback loop
ExerciseApply Kolb’s learning cycle to the different project steps to help increase success.
How can the cycle help before, during and after your project to increase its success?Relate it to any experiences you have had in the past.
Applying Kolb to your projects to increase success
Create teams with a mix of learning styles Learning across the project – how to create change and increase chances of successBeing conscious of your approach in the project – reflection, actionWhen training individual team membersEnabling culture change within the organisatonIncrease chances for a follow on projectEngaging with a community
How can, what you have learnt today, help you with your future open data projects/work?
