Using Data Responsibly to Improve Outcomes for Every Child
The Data for Children Collaborative is a specialist unit within the Edinburgh Futures Institute at the University of Edinburgh.
Our mission is to provide the best conditions for bringing together the right data and the right expertise to improve outcomes for every child.
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We build innovative ways of enabling impactful collaborations between academia, the third, the public and the private sectors and delivering projects responsibly.
We bring together diverse expertise and the appropriate data from our community to address complex problems facing children.
We work with a range of partners to identify demand-driven challenges that require a data-driven solution.
All of our projects are child-focused and work towards one or more of the Sustainable Development Goals and/or the National Performance Framework.
Our News
2024 was another year of progress across our portfolio at Data for Children Collaborative. The wide variety of our activities tells a story of how versatile and transferable Data for Children's Collaborative approaches, tools, and methods are.
Our collaborative team, led by Dr. Gary Watmough from the School of Geosciences at the University of Edinburgh, developed a scalable solution for generating travel maps that uses only free open data, allowing it to be applied to any country in the World.
A new, a transdisciplinary, collaborative project with The Promise Scotland and partners to understand and overcome the legal, technical, and cultural barriers to data and information sharing relating to care experienced children, young people and their families across public sector agencies and organisations in Scotland.
At the Data for Children Collaborative, we have been continuously developing and refining our Responsible Innovation framework to support challenge-led, multi-sectoral collaborative data projects that aim to improve children's lives
Our Service Catalogue
We work with partners on an end-to-end challenge or support specific activities.
Having crafted a set of approaches, frameworks and methodologies to work on complex challenges, we aim to share these far and wide. We have designed a service offering to work on an end-to-end challenge with a partner, or to apply component parts of our service to specific situations.
Get in touch if you would like to hear more!
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Our Themes
Our Projects
Our Work in Focus
This case study outlines how Data for Children Collaborative’s processes allowed for a reimagining of the End of Violence multi-country study to bring in the voices of youth.
This case study explains how the Data for Children Collaborative Facilitated a Collaborative Solution for UNICEF to Support them in Exploring Ways to Better Understand Access to Child Services.
This case study shows how the Data for Children Collaborative helped The Promise Scotland build the right team to map diverse care system data.
This case study explains how the Data for Children Collaborative supported UNICEF in better understanding the risks so that countries have more evidence to build their capacity and resilience to help children around the globe and into the future.
This case study explains how the Data for Children Collaborative helped build a multidisciplinary team of experts spanning academia, the private, and public sectors to gain data-driven insights.
This case study explains how the Data for Children Collaborative helped the Northern Alliance uncover a deeper understanding of the mechanisms by which educational attainment can be negatively affected by poverty, frame the conversation and layout logical project steps.
Our 2024 Annual Report
2024 was another year of progress across our portfolio at Data for Children Collaborative. The wide variety of our activities tells a story of how versatile and transferable Data for Children's Collaborative approaches, tools, and methods are. We aim to create a legacy of tools and methods to support our immediate community and many other areas where disciplines and organisations come together to address humanity's wicked problems