Whether you’re a seasoned data viz expert or you’re just getting started, this is your chance to get creative with real-world data, tell an interesting story and put your skills to the test!
This year’s competition challenges you to explore Scotland’s health through data, uncovering insights that could change how we understand the factors shaping our health and wellbeing.
You’ll have the opportunity to develop your data visualisation skills, show off your talents, and raise your profile within our global community of data and AI professionals, students and enthusiasts.
Download the data: 4th November 2026
Submissions open: 25 November 2026
Submissions close: 15 January 2027
The Data Lab Community’s Data Visualisation Competition invites you to use real-world data to create a compelling visual story.
You’ll have until 15th January 2027 to develop and submit your project, which will be judged on clarity and communication, creativity and design, and data analysis, understanding and accuracy.
The competition is open to everyone, from students and beginners to experienced data professionals. You can enter individually or as part of a team.
First place:
2nd and 3rd place:
All finalists will also have their work showcased at DataFest 2027
What can you tell us about the health of Scotland, and how could those insights help us make better decisions?
Behind every health statistic is a bigger story about people, place, and communities. This year’s challenge invites you to explore those stories and bring them to life through data visualisation.
Using datasets provided by Public Health Scotland, your task is to uncover an interesting insight and turn it into a compelling visual story.
Your visualisation should help people understand an issue, challenge an assumption, highlight an inequality or identify an opportunity to improve health and wellbeing.
To help inspire your thinking, Public Health Scotland’s strategy identifies five key areas for improving population health:
Your entry should explore one or more of these areas, using data to tell a story that matters.
We’re not just looking for attractive charts or dashboards. We want to see how you can use data creatively to communicate something meaningful, spark conversations or inspire action.
Finding your story
As you develop your entry, there are three key questions to think about.
Who are you telling your story to?
Think about who would benefit from your insights. It could be policymakers, healthcare professionals, community organisations, local authorities or members of the public.
What is your story?
What interesting patterns, trends or insights can you uncover? What do you want people to understand, question or think differently about? How does your story connect to the factors shaping Scotland’s health?
How will you bring it to life?
Think creatively about how best to communicate your findings. You could use maps, infographics, interactive dashboards, animations, network diagrams or something completely different.
Looking for inspiration?
There are lots of different directions you could take your project. For example:
These are just a few ideas to get you thinking. We encourage you to explore the data, follow your curiosity, and find a story that interests you.
The most successful entries will use data creatively and effectively to communicate an important insight, challenge assumptions and help others see Scotland’s health through a different lens.
We’ve teamed up with Public Health Scotland to provide three groups of datasets from the Scottish Health and Social Care Open Data platform, specially prepared for this year’s competition.
The datasets cover three areas of Scotland’s health and healthcare system.
A&E Attendances
Investigate patterns in emergency department and minor injury unit activity, including attendance types and performance against the four-hour target.
Two files are available, Level 1 and Level 2, covering activity from July 2007 to June 2026:
Unintentional Injuries
Explore hospital admissions and deaths resulting from unintentional injuries across Scotland, with breakdowns by age, sex, location and injury type.
Two files are available:
Community Prescribing
Explore how prescribing activity, drugs dispensed, dispensing volumes and costs vary across Scotland and over time.
Four files are available:
Which dataset should I choose?
You must use at least one of the three competition dataset groups in your entry, but you’re welcome to explore more than one.
Each dataset offers different levels of detail and complexity, so there’s something for everyone. If you’re new to data visualisation, you might prefer to start with a smaller or simpler dataset. If you’re more experienced, you can explore more detailed data, combine multiple sources or experiment with more advanced techniques.
The important thing is choosing data that helps you tell a compelling story.
Of course! As long as your entry uses at least one of the competition datasets, you’re welcome and encouraged to bring in other publicly available data to help develop your story.
For example, you might want to explore connections between health outcomes and factors such as poverty, employment, housing, environment, or access to services.
You may wish to include any other data from Scottish Health and Social Care Open Data Dashboard, or data from other sources such as find.data.gov.scot, Open Data Scotland, UK Data Service, The World Bank.
Combining different sources could help you uncover new patterns, challenge assumptions, or reveal a story that might otherwise go unnoticed.
We’re looking for visualisations that combine strong data analysis with creativity and effective storytelling. Judges will evaluate the data visualisations based on three main criteria:
1. Clarity and communication
How effectively does your visualisation communicate its message? Is the story clear, engaging, and appropriate for its intended audience?
2. Creativity & Design
How creatively and effectively have you used visualisation techniques to bring your story to life?
Judges will consider innovative approaches, thoughtful and accessible use of colour, as well as creativity in layout and design.
3. Data Analysis, understanding and accuracy
How well have you explored, interpreted and represented the data? Are your findings accurate, meaningful and supported by evidence?
You don’t need to use the most advanced tools or create the most technically complex visualisation to succeed. A simple, well designed visualisation that tells a powerful story can be just as effective.
Data Visualisation Consultant
Cara is a data visualisation consultant specialising in helping research teams and data-driven organisations turn their data insights into to clear and compelling visualisations. She has earned a solid reputation for making complex things accessible and enjoys the challenge of translating data insights into clear visuals stories for non-specialist audiences.
Senior Analytics Consultant
Chris has had a passion for data since childhood, and a love for data visualisation since discovering Tableau in 2018. Chris works as a Senior Analytics Consultant at JLL, helping people see, understand, and act on their data. At the 2024 Tableau Conference Chris was crowned as the Global champion of IronViz, the world’s largest data visualisation competition. Chris loves using his skills to foster collaboration and mentor others. He does this through co-leading the Scotland Tableau User Group, regularly speaking at other events, and sharing his knowledge through his blog WestlakeAnalytics.com
Head of Data, The Data Lab
Saleh is a Data Scientist with a wealth of experience working in academia, the public sector and industry across different sectors, from manufacturing to healthcare, both in the UK and internationally. He holds a PhD in Data Science in Built Environment from the University of Strathclyde. His research has been published in more than 60 high-impact research outputs and has been cited more than 1100 times.
Director of Data and Digital Innovation, Public Health Scotland
Scott leads the directorate responsible for the collection, access and use of data to derive insight and drive innovation in how PHS protects and improves health.
Scott has a background in statistics and has worked in the health and care field for over 25 years. He is also Head of Profession for Statistics at PHS and has the authority for deciding on methods, content and timing of the release of statistics.
1. Register for the competition to receive updates and access to the competition materials.
2. Explore the datasets and choose the story you want to tell (data available from 4th November).
3. Create your data visualisation using the tools and techniques that work best for your project.
4. Submit your entry by 15th January 2027 via the Project Submission Form (submissions open 25th November 2026)
5. The Data Lab team will review all entries and select a shortlist of finalists to present their visualisation to our judging panel during an online session on the 4th & 5th February 2027. Judges will score each visualisation against the judging criteria to determine the winners.
6. Shortlisted finalists will be invited to showcase their work at DataFest in Edinburgh on 12th & 13th May 2027.
Competition Privacy Statement: