Square with four arrow inside indicating 'scale up'

IMAGE CREDIT: PNGTREE

R&D: Scaling data innovation

$download_content = get_field('download_content');

Exploring barriers and researching solutions around scaling and replicating successful local data projects across the UK

People to talk to about this

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 aims to help understand the barriers and opportunities around scaling data innovation projects.

Scaling data innovation: why is this important?

Building scalability into projects can encourage re-use and can potentially reduce the cost of duplication across organisations and sectors.

It is also important to help develop stronger cross-sector and cross-organisational communities with a focus on shared learning and solutions.

Our approach

  • First, we will explore existing local projects using ecosystem- and data-flow-mapping processes. This will help us to gain a broad understanding of the projects and their challenges.
  • Next, we will explore the scalability of one of the projects as a pilot/proof-of-concept scaling project.
  • We will also develop a checklist of considerations to help plan a scalable data project.

Related content

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.

Image credit: pngtree