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.
- 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.
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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