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.
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
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.
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.
Get our Data and Public Services Toolkit
If you would like to be emailed our full Data and Public Services Toolkit, please share your details below.
Follow our research
Case study, Reports 08/03/2016
Open enterprise: How three big businesses create value with open innovation
- Agriculture and food
- Built environment and housing
- Emerging tech and AI
See all research and development around data innovation for the UK
R&D main project only (overarching Innovate UK page only)
Data innovation for the UK: research and development
- Data ethics and privacy
- Data infrastructure
- Open standards and open APIs
- Public service design
- Science and research
- Olivier Thereaux
- Vicky Hallam