Data sharing

Creating value from data requires organisations and individuals to have access to data and use it effectively and appropriately. This project sets out to investigate one aspect of this: trusted data sharing, and explores implications for policy and practice. A series of ten case studies illustrates emerging examples of data sharing and some of the key enablers and constraints, including governance, business models, technologies and regulation. A practical checklist for organisations has been created, based on learning the case studies.

This report is aimed at organisations that have identified the opportunity to create value through sharing data and are considering setting up arrangements for data sharing. Through this project and other initiatives, the Academy aims to play a role in supporting better use of data in engineering sectors and in the broader economy.

Interactive report: Towards trusted data sharing: guidance and case studies


Cyber safety and resilience

Cybersafety and Resilience: strengthening the digital systems that support the modern economy, is a report debating the regulatory and non-regulatory measures required to improve the cyber safety and resilience of systems. Connected health devices are explored as a case study to illustrate the similarities with other sectors and where specific health sector interventions are required to ensure patient safety.

Cyber safety and resilience (2.27 MB)


Internet of things

Internet of things: realising the potential of a trusted smart world, is a collaborative report from the Academy and PETRAS research group presenting the opportunities across consumer, public space and industrial applications of IoT, and outlining the challenges around policy, governance, security, privacy, ethics and skills.

Internet of things (1.88 MB)


Connecting data: driving productivity and innovation

Connecting data: driving productivity and innovation, published in November 2015, investigates how the UK can create a 'data-enabled economy' through the use of data analytics (more colloquially 'big data'), supported by data science and advanced connectivity. It follows on from two workshops run by the Academy in 2014 on opportunities for engineers in 'big data' and 5G.

The report examines the future opportunities for organisations and sectors to improve products and processes and to innovate using data analytics, and explores barriers to success, both universal and sector-specific. The sectors investigated were advanced manufacturing, built environment, energy, transport, health, aerospace and defence, and insurance.

The key issues that need to be addressed in order to create a data-enabled economy include:

  • The need to deploy engineering best practice in areas such as software development
  • Investment in broadband services to achieve performance equivalent to targets set by the EU digital agenda
  • The investigation of methodologies that allow the value of data assets to be formally recognised
  • The development of industry standards, where appropriate
  • The exploration of mechanisms for creating markets in data that permit access to proprietary but potentially valuable data
  • A need to develop the necessary multi-disciplinary skills, and to share best practice

During 2016, the Academy will be following up recommendations that address the key issues with interested stakeholders.

Connecting data: driving productivity and innovation (4.20 MB)


Smart buildings

The Academy produced a report of a roundtable discussion looking at the design, creation and use of smart buildings. The roundtable brought together architects, engineers and ICT experts to consider ways to reduce energy use, enable supported living and provide valuable services.

Smart buildings: people and performance (1.33 MB)

 

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