Public Sector

Analysis of digital transformation, AI adoption, public service innovation, government technology, policy, and the future of the public sector.

A Practical Approach to Sustainable AI for the Public Sector

by
Woman reviews data dashboard metrics on a laptop

Across Scotland, public bodies are exploring how AI can support services and improve efficiency. Growing awareness of the energy and infrastructure demands behind AI is giving greater prominence to sustainability considerations in everyday decision-making. With budgets under pressure and fluctuating energy costs affecting public infrastructure, digital sustainability is now central to resilience and responsible procurement.

When large volumes of unstructured data are repeatedly processed by AI systems, it can inflate cloud bills and increase energy use. This isn’t just inefficient, it risks falling short of expectations under the Sustainable Procurement Duty and evolving Scottish guidelines for responsible AI governance. Public organisations cannot rely solely on suppliers to deliver greener or more efficient solutions; they also need practical ways to manage their own information efficiently and reduce unnecessary processing.

Wallscope’s VeriNote platform is designed to support this shift. By helping organisations structure their information and preserve the context behind decisions, VeriNote provides a practical foundation for more efficient and sustainable use of AI, without requiring major changes to existing systems.

Big Data, Limited Resources

The public sector faces a number of challenges that make unstructured AI adoption difficult to sustain:

Unpredictable cloud costs

  • Repeated processing of large, disorganised datasets can inflate monthly bills.

Pressure on teams

  • Staff are expected to review AI outputs and make informed decisions. Without support, this adds strain to already stretched teams.

Data sovereignty concerns

  • Sensitive information must be handled transparently and securely. Relying on closed, external AI systems can make this harder to demonstrate.

VeriNote helps organisations address these issues by reducing unnecessary processing, supporting clearer decision‑making, and keeping data under local control.

Supporting Better Human Oversight

Good oversight depends on understanding the evidence behind a recommendation, the assumptions involved, and the reasoning that shaped the final decision.

VeriNote helps teams record these elements as part of their everyday workflow. Instead of generating audit trails after the fact, it prompts users to capture:

  • what evidence was reviewed
  • what contextual factors were considered
  • why an outcome was judged to be reliable

This supports more confident decision‑making and creates a durable record of how human judgement shaped the final outcome.

A Practical Foundation for Sustainable, Responsible AI

By structuring information and preserving the context in which decisions were made, VeriNote can help public bodies to: 

1. Reduce duplication and control costs

By organising information into a structured, reusable form, organisations can reduce duplication, improve data quality and make more efficient use of AI and digital tools.

2. Strengthen data sovereignty

VeriNote supports transparent, explainable data handling, helping organisations maintain control over how information is used.

3. Improve collaboration across public and third‑sector partners

When information is structured and connected, it becomes easier to share insights and make better use of existing public data, without replacing legacy systems.

Designed to Work With Existing Systems

VeriNote is built on open standards and integrates through secure APIs, allowing it to work alongside existing document stores, case management systems and cloud platforms.

This helps organisations avoid vendor lock‑in, reduce the risk of costly system changes, and model efficient, responsible data use from within.

The Foundation for Sustainable AI

Many of the challenges associated with AI adoption, from cost and governance to effective oversight, are rooted in how information is managed rather than in the technology itself. By preserving context, connecting evidence and structuring information for reuse, VeriNote helps organisations make better use of AI while supporting transparency, accountability and long-term sustainability.

If your organisation is exploring responsible approaches to AI, we’d welcome a conversation about your challenges and how VeriNote can help address them – drop us a line here.

Preserving Human Judgement 

by
A professional corporate meeting room where a conference table is split by a jagged chasm, symbolizing the enterprise AI understanding gap. Executives on both sides use laptops and tablets to resolve data lineage silos. In the background, wall screens display technical knowledge graphs titled "Presenting Understanding" and "Decision Chain," illustrating how Wallscope’s VeriNote platform bridges compliance, AI governance, and structured text classification.

From December 2027, organisations using ‘high‑risk’ AI — systems deployed in areas where mistakes carry serious consequences — will need to demonstrate that human oversight was informed, effective and embedded in everyday decision‑making. Many may feel they have until the deadline to comply, but in practice they have until the deadline to show that capability already exists. (More information on the deadlines is available here.)

This is where many organisations are unprepared. ‘Human in the loop’ has long been treated as a safeguard in this area, but the Act requires more than proving a person was present. Regulators will want to understand how human judgement was applied, why decisions were trusted, and whether oversight genuinely shaped the outcome.

The Limits of ‘Human in the Loop’

If a person is involved, the assumption may be that oversight exists. But a human can be present without having the context, evidence or understanding needed to make a meaningful decision. The issue is not the AI system itself, but whether the organisation can provide and preserve enough understanding for judgement to occur. 

When organisations are asked to demonstrate oversight, they often produce audit trails, workflow records and governance reports that show a human was there. What these records rarely show is how that human reasoned through the decision. The EU AI Act raises the bar by asking organisations to demonstrate the effectiveness of the human oversight process.

Agentic AI Makes Oversight Harder to Prove

This challenge becomes greater as agentic systems evolve. Agentic AI systems can initiate actions, adapt their behaviour and make decisions based on changing conditions. 

When AI behaves in this way, an organisation cannot rely on checking outputs or validating isolated decisions as proof of oversight. They must be able to explain why the system’s actions were trusted, what information shaped human judgement, and how oversight was exercised when the system acted autonomously. The traditional idea of ‘human in the loop’ becomes harder to defend if the organisation cannot show how a human actually understood and influenced the decision.

The Missing Layer: Understanding, Not Just Records

What is missing is not another governance process, but a way of preserving organisational understanding. Organisational workflows and processes are often not structured to capture the reasoning behind decisions. They record what happened, who did it, and when it occurred. But they rarely preserve the evidence that was reviewed, the assumptions that were made, or the interpretations that shaped the final judgement.

This missing layer is exactly what regulators will look for when assessing whether oversight was genuine. Without it, organisations cannot convincingly demonstrate compliance or trustworthiness. A human may have been ‘in the loop’, but the organisation cannot show how that human actually exercised judgement.

Why Decision Context Matters

As AI systems become more capable, the burden shifts from proving that humans were involved to proving that humans were effective. Organisations must be able to show how decisions were made, what evidence was considered, and how risks were interpreted at the time.

If the context is not preserved, organisations cannot explain their own judgement, and therefore cannot demonstrate that their oversight met the required standard for high‑risk AI.

Building Organisational Memory for AI Governance

The ability to capture this evidence and context is the foundation of organisational memory. Organisations that invest in preserving judgement today will be better prepared for regulatory expectations, internal assurance and the safe deployment of more autonomous systems. Those that continue relying on procedural oversight will find themselves exposed when the EU AI Act’s requirements take effect.

The EU AI Act is prompting organisations to rethink what ‘human in the loop’ really means. Their response will define which organisations can confidently use advanced AI, and which will struggle to show how human judgement shaped their decisions. 

How VeriNote Can Help

VeriNote gives organisations a practical way to capture the evidence they considered, the interpretations they made, and the context in which decisions took place. Rather than depending on incomplete records or trying to piece decisions together after the fact, organisations can retain a clear account of how human understanding shaped the outcome.

By preserving the evidence, interpretations, assumptions and context that informed human judgement, VeriNote allows organisations to show not only what decisions were made, but how and why those decisions were trusted. It keeps this reasoning intact and provides a connected, durable record of organisational understanding. This supports governance, strengthens accountability, and gives organisations the assurance they need as AI systems take on more autonomous roles.

AI Reveals the Cracks

by

Most conversations about AI focus on capability — what a model can do, how accurate it is, or how much work it might automate. However, one of the most revealing things we’ve seen is that AI often behaves like an organisational diagnostic long before it becomes an automation tool.

AI reveals these cracks because it exposes parts of the organisation that were never fully captured or maintained. A business rule that only exists in someone’s head, a process held together by a workaround, or a decision whose rationale was never written down — all of these technically exist, but the context that makes them understandable and reusable has disappeared. These issues rarely appear in presentations or capability demos, but they can determine whether AI creates lasting value.

As organisations introduce AI, it becomes easier to execute tasks and generate outputs. What doesn’t automatically improve is shared understanding. Teams still need clarity about objectives, governance still needs to function, evidence still needs to be trusted, and learning still needs to be retained.

In that sense, AI can increase capacity far faster than it increases capability. That may explain why organisations using similar technologies often achieve very different outcomes. Many AI initiatives end up exposing the same underlying weaknesses: unclear ownership, missing context, fragile governance, fragmented understanding, and learning that isn’t preserved. The cracks were already there; AI simply makes them harder to ignore.

Once those cracks have been exposed, organisations can patch them up and move on, or treat them as indicators of where understanding is breaking down and where decisions are being made without the appropriate context. In this sense, identifying the gaps is an opportunity to fix the foundations that shape how decisions are made.

Ultimately, the cracks point to the absence of organisational memory. Without connected evidence, rationale and learning, AI meets the same fragmentation that people do. With those connections in place, it can navigate understanding rather than disconnected information.

That’s why we’re building VeriNote: to help organisations strengthen the foundations that AI depends on by connecting evidence, context, decisions and learning into a durable organisational memory. 

The Organisational Memory Problem

by
Exploring linked data, knowledge graphs, metadata, interoperability, and connected information ecosystems.

Most organisations do not lack information. They have reports, documents, dashboards, emails, meeting notes, policies, spreadsheets, systems and databases… 

Yet the same questions keep reappearing:

  • Why was this decision made?
  • Who approved it?
  • What evidence supported it?
  • Why did we choose this option rather than another?
  • What did we learn last time?
  • Where is that information stored?

The problem is rarely a lack of information, but that understanding becomes fragmented.

Information Is Not Understanding

Information exists in many places:

  • A report may contain evidence
  • A meeting may contain discussion
  • An email may contain a key decision
  • A document may contain an approval
  • A dashboard may contain performance data

Individually, each has value. Collectively, they often fail to tell the story. Without context, organisations are left with fragments rather than understanding.

The Cost of Lost Understanding

When understanding is lost, organisations experience familiar symptoms:

  • Decisions are revisited repeatedly
  • Work is duplicated
  • Lessons must be rediscovered
  • Knowledge becomes dependent on individuals
  • New staff struggle to understand historical decisions
  • Governance becomes difficult to demonstrate.

Many organisations lose reasoning before they lose knowledge. People may remember what was decided, but few remember why.

Wallscope’s Technical Director Ian Allaway explains how these issues are encountered in practice: “Across many organisations we’ve worked with, siloed data creates significant challenges for decision-making and organisational efficiency. Valuable information is often held in separate teams, systems and databases, with limited visibility of what data exists, where it is held, or how it can be used. This fragmentation makes it difficult to bring the right information together, resulting in duplicated effort, missed opportunities and decisions made without the full context of the available evidence.“

AI Makes This More Visible

Artificial Intelligence changes the scale of the challenge. AI can help organisations find information, analyse documents and generate answers. However, it cannot recover understanding that was never preserved. If the evidence, assumptions, rationale and decisions were never connected, AI simply encounters the same fragmentation that people do. 

In many cases,  AI does not create organisational capability. It reveals whether that capability already exists.

From Information to Organisational Memory

Organisational memory is not a document repository. It is the ability to preserve and reuse understanding over time. It connects the elements that matter:

Question → Evidence → Observation → Interpretation → Decision → Outcome → Learning

When these elements remain connected, organisations can reconstruct decisions, demonstrate accountability, learn from experience and improve future judgement.

The Next Competitive Advantage

For many years, organisations focused on collecting information. Today, information is abundant, and the emerging challenge is preserving understanding.

As AI becomes more capable, organisations that can retain context, evidence, rationale and learning may gain an enduring advantage.

VeriNote is being developed around this idea: helping organisations preserve and reuse understanding by connecting evidence, context, decisions and learning within a structured organisational memory system.

Wallscope on Medium

by

Wallscope publishes articles on Medium exploring AI, knowledge management, knowledge graphs, interoperability, digital transformation, public value, in Scotland and beyond.

Wallscope – Medium Insights from the Wallscope team on AI, open standards, interoperability, information management and building fairer digital futures across Scotland’s public sector and communities. – Medium

  • Shared Understanding in an Age of AI

    Why Understanding May Become More Valuable Than IntelligenceCreating fairer futures starts with shared understanding — connecting data, people and action.This is the sixth and final article in a series exploring capability, understanding, purpose, context and the human role in an age […]

  • People, Organisations, Places and Context

    Building Shared Understanding in a Complex WorldContext chages everythingThis is the fifth in a series of reflections exploring capability, understanding, purpose, context and the human role in an age of AI.The World Does Not Arrive in Neat CategoriesIn previous articles, I explored three […]

  • What Is My Role?

    Human Purpose in an Age of Increasingly Capable AIQuestions matterThe Question I Keep Returning ToAfter all the discussions about AI, agents, automation and innovation, I find myself returning to a much simpler question.Not:What will AI become?But:What will we become?Every week brings new […]

  • King Lear and the Limits of Information

    Why Data Is Not the Same as UnderstandingThis is the second in a series of reflections exploring capability, understanding, purpose, context and the human role in an age of AI.We Have Never Had More InformationWe live in an age of abundance.More data.More dashboards.More reports.More […]

  • The Wizard Behind the Curtain

    What The Wizard of Oz Can Teach Us About AI, Capability and the Questions We Should Still Be Asking OurselvesThis is the first in a series of reflections exploring capability, understanding, purpose, context and the human role in an age of AI.Three Stories Have Been On My Mind RecentlyThree […]

  • Developing ontology tools with Grundfos

    For organisations needing to navigate ever-increasing amounts of information, ontologies are an extremely valuable tool. They allow a machine to work more like a human mind when classifying information, allowing you to navigate it smoothly. Essentially the ontology is the architecture that maps and […]

https://medium.com/wallscope

Latest Insights

by
/ Home » Wallscope » Public Sector

Latest Insights on Data, Clarity and Collaboration in Scotland

Wallscope shares insights, updates and real-world examples from our work with Scotland’s public sector, SMEs and creative organisations, exploring how better use of data supports informed decision-making, collaboration and positive outcomes.

  • A map, compass and paper with the message 'context changes everything'
    Closing the Evidence Gap in AI Governance
    by Emma
    AI governance frameworks define how decisions should be made, but can organisations demonstrate what actually happened when those decisions were reached? This article examines why evidence, not just governance, is critical for accountable and trustworthy AI.
  • Preserving Human Judgement with VeriNote: A Practical Example
    by Emma
    How can organisations ensure that human judgement remains visible when AI is involved in decision-making? This practical case study shows how VeriNote helps capture the reasoning behind decisions, creating a clear and auditable record that links evidence, interpretation and outcomes.
  • Woman reviews data dashboard metrics on a laptop
    A Practical Approach to Sustainable AI for the Public Sector
    by Emma
    Rising energy demands, cloud costs and governance expectations are reshaping how public bodies approach AI. Learn how VeriNote helps organisations preserve context, improve decision-making and create the conditions for more efficient and sustainable use of AI.
  • A professional corporate meeting room where a conference table is split by a jagged chasm, symbolizing the enterprise AI understanding gap. Executives on both sides use laptops and tablets to resolve data lineage silos. In the background, wall screens display technical knowledge graphs titled "Presenting Understanding" and "Decision Chain," illustrating how Wallscope’s VeriNote platform bridges compliance, AI governance, and structured text classification.
    Preserving Human Judgement 
    by Emma
    The EU AI Act will require organisations to prove that human oversight of high‑risk AI was genuinely informed and effective. This article explains why traditional “human in the loop” approaches fall short, why preserving decision context now matters, and how VeriNote helps organisations demonstrate real human judgement as AI systems become more autonomous.
  • VeriNote explores AI, knowledge management, interoperability, public sector transformation and fairer futures in Scotland.
    Strengthening Capability
    by Wallscope Edinburgh
    Organisations aren’t limited by data or tools — they’re limited by the ability to preserve and reuse understanding. VeriNote strengthens capability by connecting evidence, context and learning into a shared organisational memory, making knowledge discoverable, reusable and actionable.
  • AI Reveals the Cracks
    by Wallscope Edinburgh
    AI Reveals the Cracks highlights how AI uncovers gaps in organisational memory, governance and shared understanding. Strengthening these foundations is key to effective AI adoption and sustainable outcomes. Wallscope helps organisations build the capability required for reliable, scalable AI.
  • Teams capturing insights, decisions and lessons learned to build a reusable organisational memory.
    The Organisational Learning Problem
    by Wallscope Edinburgh
    Most organisations invest heavily in training, workshops and professional development, yet the same questions keep returning: Didn’t we learn this already? Haven’t we seen this problem before? The issue may not be a lack of learning, but a failure to preserve and reuse what has been learned. Organisational learning creates value once. Organisational memory enables that value to be applied again and again. Discover why preserving context, reasoning, decisions and lessons learned may be becoming a critical organisational capability.
  • Exploring linked data, knowledge graphs, metadata, interoperability, and connected information ecosystems.
    The Organisational Memory Problem
    by Wallscope Edinburgh
    Most organisations do not lack information. They have reports, dashboards, emails, meeting notes and databases, yet the same questions keep returning: Why was this decision made? What evidence supported it? What did we learn last time? The challenge is not information itself, but preserving the context, reasoning and understanding that give information meaning. As AI makes information easier to find, organisational advantage may increasingly depend on the ability to retain and reuse understanding over time.
  • Shared Understanding in an Age of AI
    by David Eccles
    Why Understanding May Become More Valuable Than Intelligence Creating fairer futures starts with shared understanding — connecting data, people and action. This is the sixth and final article in a series exploring capability, understanding, purpose, context and the human role in an age of AI. We Have Spoken About Capability Over the course of … Read more
  • A map, compass and paper with the message 'context changes everything'
    People, Organisations, Places and Context
    by David Eccles
    Building Shared Understanding in a Complex World Context chages everything This is the fifth in a series of reflections exploring capability, understanding, purpose, context and the human role in an age of AI. The World Does Not Arrive in Neat Categories In previous articles, I explored three questions. The Wizard of Oz asked: … Read more
  • What Is My Role?
    by David Eccles
    Human Purpose in an Age of Increasingly Capable AI Questions matter The Question I Keep Returning To After all the discussions about AI, agents, automation and innovation, I find myself returning to a much simpler question. Not: What will AI become? But: What will we become? Every week brings new examples of systems … Read more
  • King Lear and the Limits of Information
    by David Eccles
    Why Data Is Not the Same as Understanding This is the second in a series of reflections exploring capability, understanding, purpose, context and the human role in an age of AI. We Have Never Had More Information We live in an age of abundance. More data. More dashboards. More reports. More … Read more

Reimagining Local Insight: A New Data Platform for Fairer Futures

by
Reimagining Local Insight: A New Data Platform for Fairer Futures

Dumfries & Galloway faced a familiar challenge: fragmented poverty, health and community data spread across multiple systems. Working with Wallscope, the region created a Fairer Futures platform that connects information into clear, consistent local insight for Scotland’s public sector.

To address this, Dumfries & Galloway Council partnered with Wallscope to design and deliver its Fairer Futures Poverty Dashboard — a scalable, data‑driven platform aligned to the Scottish Government’s Fairer Futures approach. The dashboard brings together key datasets in one accessible location, enabling clearer insight, more consistent interpretation and a shared evidence base across services.

Fairer Futures Partnerships (FFPs) are funded by the Scottish Government and support their ambition to eradicate child poverty. They focus on place‑based, collaborative approaches that streamline services supporting priority families to improve income, health and wellbeing, and employment opportunities.

A unified view of poverty and place

The dashboard integrates data from the Department for Work and Pensions, Public Health Scotland and Scottish Government open data. Once logged in, system admins can add references to data sets of interest. Data is captured from the relevant APIs and used to provide interactive maps, charts and tables. 

Users can explore:

  • Patterns of poverty, with a focus on child poverty
  • Rural and urban classifications
  • Health and Social Care Partnership (HSCP) areas
  • Differences in outcomes across communities

By aligning datasets to common geographies such as Data Zones, the dashboard supports meaningful comparison and helps practitioners understand how need varies across local areas.

From fragmented data to connected insight

Wallscope worked with Council teams and partners to turn dispersed datasets into a single, structured evidence base. Using linked data approaches, the dashboard makes relationships clear and ensures information can be interpreted consistently.

Designed for accessibility and future readiness

By embedding meaning directly into the data, the dashboard is easy to navigate and supports a wide range of users. This structured foundation also enables future analytical and AI‑driven development.

Governance, quality and alignment

Strong governance and ongoing validation kept the solution aligned to Fairer Futures priorities. While some datasets from national sources are not yet available in dashboard‑ready formats, the platform is designed to expand as more structured data becomes accessible.

Impact

The Fairer Futures Poverty Dashboard has delivered:

  • A functional, scalable platform integrating multi‑source datasets
  • Clearer and more consistent understanding of data across services and organisations
  • Stronger place‑based insight aligned to Fairer Futures priorities
  • Reduced reliance on manual data collation and improved analytical efficiency
  • Improved accessibility and usability of data across roles and contexts
  • A future‑ready data foundation supporting ongoing development and AI‑enabled analysis

You can explore the dashboard here and examine how poverty and community outcomes vary across Dumfries & Galloway.

Supporting a fairer future for Dumfries & Galloway

By bringing together previously fragmented information into a single, coherent view, the Fairer Futures Poverty Dashboard strengthens the region’s ability to understand local need and make informed, partnership‑led decisions. It represents a significant step toward a more connected, data‑driven approach to tackling poverty and improving outcomes for communities.
Learn More

Explore Wallscope

by

Explore Data with Wallscope | From Data to Insight

Building Understanding.

Discover connections, uncover context and turn information into insight.

Data alone rarely tells the whole story. Wallscope helps people and organisations explore information, understand relationships and develop the shared understanding needed for better decisions and better outcomes.

Data Digital Transformation Fairer Futures Five-Star Open Data Linked Data Open Data Poverty Scotland

Wallscope supports organisations who seek sustainable transformation and innovation for Fairer Futures in Scotland

Explore Wallscope

Access our core services and navigate with clarity.

Consulting and Advisory

by
/ Home » Wallscope » Public Sector

Consulting & Advisory for Scotland’s Public Sector

Data tells the story of your organisation. Wallscope helps Scotland’s public sector turn that story into strategic clarity through trusted consulting, open standards and visual tools that make knowledge meaningful.

Data isn’t just technical – it tells the story of your organisation. At Wallscope, we turn that story into strategic clarity for Fairer Futures across Scotland.

We help teams build trust and translate complexity into clarity, Wallscope empowers organisations in Scotland to make knowledge meaningful.

Wallscope empowers organisations to make knowledge meaningful – through open standards, visual tools, and collaborative insight.

We collaborate with organisations to build trust, enhance operational efficiency, and foster long-term resilience through intelligent, connected data strategies.

Why this matters in practice

Many organisations generate valuable insight through programmes, initiatives and collaboration — but this insight is often lost as work moves into delivery.

As a result, teams repeat effort, struggle to demonstrate impact, and find it difficult to scale what works. The challenge is rarely a lack of ideas, but a lack of continuity in how knowledge is carried forward.

Structured Consulting and Delivery

Wallscope supports organisations in translating strategic goals into actionable digital outcomes:

  • Auditing & Analysis Assessing existing data sources, formats, and infrastructure to uncover insights and identify gaps
  • Interface and Visualisation Design Crafting dashboards and visual tools that make complex data understandable, measurable and impactful
  • Implementation Planning Mapping clear milestones, timelines and success metrics to guide smooth and scalable delivery
Wallscope empowers organisations in Scotland to make knowledge meaningful

Whether you’re a local start-up, public sector organisation or community-led enterprise – let’s shape practical digital solutions together.

Technical Solutions


Geospatial Tools
Geographic intelligence tailored to user needs


API Management
Unified environments for multi-source data


Local Planning Tools
For scheduling, logistics and planning

Compliance and Standards Support

Promoting sustainable practices through regular reviews and updates that keep pace with technological and policy changes in Scotland

Standards Alignment

Supporting the adoption of recognised frameworks and open standards to improve data interoperability and transparency.

Policy Integration

Designing systems and processes that align with internal governance policies and external regulations.

Risk Mitigation

Enhancing data security, accessibility, and auditability to reduce compliance risks.

Continuous Improvement

Promoting sustainable practices through regular reviews and updates that keep pace with technological and policy changes.

Research and Futureproofing

Semantic data modelling for long-term adaptability alongside open-source tech aligned with international data standards.

Ready to turn insight into impact?
Partner with Wallscope to unlock clarity, streamline operations, and futureproof your strategy.
Schedule a discovery call.

Wallscope has a vision of a world without barriers to knowledge.

At Wallscope we believe that knowledge should be accessible to all. Our aim is to empower organisations to navigate and link ever-increasing volumes of information, and to present this in an understandable and engaging way.

Mission

Empower people by unlocking access to information

Build scalable solutions that users can trust to discover the most relevant information

Create new value from data that was previously hidden or unusable

Promote systems and services that make it easier to collect, share and re-use data

Enable collaboration across organisational and technological boundaries
Link and analyse information across multiple sources

Develop innovative tools and processes which make knowledge accessible

Use open-source technologies and adhere to data standards

Create sustainable solutions which support change
Build an understanding of the impact of technological change; share research and insights

Develop smarter ways to store, model and structure data

Futureproof organisations for meeting challenges and opportunities