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How do data fabrics make enterprise data AI-ready?

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A framework for AI-ready enterprise data

Report

Towards shared infrastructure for public benefit access to platform data

Report

Missing Infrastructure: Semantic Data for Effective Scrutiny of Online Platforms

Guide

Using data ethically: tips from four influential organisations
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Stimulus fund: Using data to improve safety in the engineering sector
Guide

Launching the collaborative data maintenance guidebook
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Why should we care about data ethics?
Report

ARCHANGEL: guaranteeing the integrity of digital archives
Project

Mapping the wide world of data sharing
Report

What are the links between data infrastructure and trade competitiveness?
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R&D: The value of data sharing in the private sector
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Local government using open geospatial data to make a difference
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R&D: Open cities
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Data Ecosystem Mapping Tool
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Data and Public Services Business Case Canvas
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R&D: Digital twins
Guide

Data Skills Framework 2019
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R&D: Collaborative data maintenance
Report

Anonymisation and open data: an introduction to managing the risk of re-identification (report)
Report

Data trusts: lessons from three pilots (report)
Report

Data trusts: what legal landscape do we need? (report)
Report

Data trusts: will certification work? (report)
Report

Data trusts: how decisions are made about data sharing (report)
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Data trusts: what’s the economic function?

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Insights

How do data fabrics make enterprise data AI-ready?

A framework for AI-ready enterprise data

Towards shared infrastructure for public benefit access to platform data

Missing Infrastructure: Semantic Data for Effective Scrutiny of Online Platforms

Using data ethically: tips from four influential organisations

Stimulus fund: Using data to improve safety in the engineering sector

Launching the collaborative data maintenance guidebook

Why should we care about data ethics?

ARCHANGEL: guaranteeing the integrity of digital archives

Mapping the wide world of data sharing

What are the links between data infrastructure and trade competitiveness?

R&D: The value of data sharing in the private sector

Local government using open geospatial data to make a difference

R&D: Open cities

Data Ecosystem Mapping Tool

Data and Public Services Business Case Canvas

R&D: Digital twins

Data Skills Framework 2019

R&D: Collaborative data maintenance

Anonymisation and open data: an introduction to managing the risk of re-identification (report)

Data trusts: lessons from three pilots (report)

Data trusts: what legal landscape do we need? (report)

Data trusts: will certification work? (report)

Data trusts: how decisions are made about data sharing (report)

Data trusts: what’s the economic function?

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Insights

How do data fabrics make enterprise data AI-ready?

A framework for AI-ready enterprise data

Towards shared infrastructure for public benefit access to platform data

Missing Infrastructure: Semantic Data for Effective Scrutiny of Online Platforms

Using data ethically: tips from four influential organisations

Stimulus fund: Using data to improve safety in the engineering sector

Launching the collaborative data maintenance guidebook

Why should we care about data ethics?

ARCHANGEL: guaranteeing the integrity of digital archives

Mapping the wide world of data sharing

What are the links between data infrastructure and trade competitiveness?

R&D: The value of data sharing in the private sector

Local government using open geospatial data to make a difference

R&D: Open cities

Data Ecosystem Mapping Tool

Data and Public Services Business Case Canvas

R&D: Digital twins

Data Skills Framework 2019

R&D: Collaborative data maintenance

Anonymisation and open data: an introduction to managing the risk of re-identification (report)

Data trusts: lessons from three pilots (report)

Data trusts: what legal landscape do we need? (report)

Data trusts: will certification work? (report)

Data trusts: how decisions are made about data sharing (report)

Data trusts: what’s the economic function?

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