How to build local data projects that can be scaled and reused

While many data-related challenges and problems are similar across organisations and sectors, it's easy to assume these challenges are unique, and to develop solutions in isolation.

For example, an open data-powered app could potentially be re-purposed across other sectors and datasets. There would be many benefits for local organisations – around economy of scale and shared-learning – of reusing and repurposing the resulting methodologies and products for similar data-related challenges.

This research project, as part of the ODI’s R&D programme, explored how we could help projects which have worked in one area to either grow to a larger area – or be picked up by a new team in another area. When this happens, successful projects and services can benefit a greater number of people.

Scaling data innovation: why is it important?

We see two ways a project or initiative can ‘scale’:

  • It can scale up. A project/initiative that has worked effectively at a small scale can be scaled up to improve systems, ensure sustainability, or cover a wider geographic area or a larger population base. This could be managed solely by the original project team, or in collaboration with partners, or franchised to an external supplier.
  • A project/initiative can also scale out by being repeated, repurposed or re-deployed across other sectors, organisations or areas. The project team can share learnings and allow others to build on and reuse their work.

Key outputs

Blog: How to design to scale – lessons about local innovation

At the close of our scaling data innovation project, we wanted to talk about our findings. Read How to design to scale: lessons about local innovation.

Case studies of local innovation

As part of the project we visited teams across the UK who are using local data to bring benefit to their areas. Whether that is helping people make more informed educational decisions, supporting those in recovery from addiction or to track worklessness in an area – we wanted to highlight projects doing interesting things so other people can learn from them or try to replicate them.

The five case studies are:

  • Addiction Recovery Companion: Supporting those in addiction recovery
  • Glasgow City Council: A city-wide approach to innovating with data
  • MyEd: Find a place to learn from ‘cradle to career’
  • Smartline: Smart wellbeing inspired by the community
  • Trafford Data Lab: Revealing patterns in worklessness data through visualisations

View the five data-scaling case studies here

Scaling data-enabled projects: barriers and checklist

Our research identified a number of barriers which could prevent projects such as those described above from scaling up or out. These are broken down into key themes: data, technical, resources, knowledge and collaboration. The checklist aims to help those involved in designing, planning or running products and services to explore the issues that might help them scale beyond short-term or small-scale products.

View Scaling data-enabled projects: barriers and checklist here.

Innovation network and scaling data initiatives

Learn more about our work with Arup (design, engineering and technical consultancy) around building a network of open innovators and scaling data innovation.

Blog: How can we scale up local data-enabled projects?

This blog post describes our research into helping local data-enabled projects scale up, and the opportunities and barriers around scaling. Read How can we scale up local data-enabled projects?

Next steps

We want people to use these tools and tell us about it via our contact form or by tweeting us at @ODIHQ using the hashtag #DesignToScale.

We hope that people share their project stories so that more people can learn about them and learn from them.

Background and funding

This work is part of a three-year innovation programme, running to March 2020 with a funding profile of £2m each year from Innovate UK, the UK’s innovation agency.

Through our R&D programme, we aim to shape future services and promote productivity and growth with cutting edge expertise.

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