In understanding the value and use of data, what is the marginal value of open data? How much unused data is being collected nationally, and by whom?
Background
BEIS plans to boost productivity and improve lives by tackling society’s Grand Challenges in life sciences, artificial intelligence, automation and space. By investing in R&D and innovation, we will unleash potential and work towards making the UK a science superpower. To do this, BEIS needs research to better understand:
Next steps
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Source
This question was published as part of the set of ARIs in this document:
Topics
Related UKRI funded projects
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The open data institute
The vision is to establish the Open Data Institute (ODI) as a world-leading centre to innovate, exploit and research the opportunities for the UK created by the Government’s Open Data policy. The ODI is the first of its ...
Funded by: Innovate UK
Why might this be relevant?
The Open Data Institute aims to research and innovate opportunities for the UK created by open data policy, addressing the marginal value of open data and the amount of unused data being collected nationally.
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Balancing the data scales: A cost-benefit analysis of low-fidelity synthetic data for data owners and providers
The growing discourse around synthetic data underscores its potential not only in addressing data challenges in a fast-paced changing landscape but for fostering innovation and accelerating advancements in data analytics...
Funded by: ESRC
Why might this be relevant?
The project discusses the value of synthetic data and its potential benefits, but does not specifically address the marginal value of open data or the amount of unused data being collected nationally.
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Future Data Services: Strategic Fellowship 2022
The UK has a rich and generally well-supported data services landscape. However, in the coming years, there are likely to be a number of challenges in the provision of data services: recent years have seen significant ch...
Funded by: ESRC
Why might this be relevant?
The project is relevant as it aims to improve data services and understand the value of data, but it does not specifically address the marginal value of open data or the amount of unused data collected nationally.