In an era marked by rapid technological advancement and ever-increasing complexity, the ability to make informed, timely decisions has never been more vital. Across government, industry, academia and the public sector, organisations are striving to integrate digital solutions that enable evidence-based policy and practical action. Here Professor Richard Kingston explores how data can lead the way to support modern policy decision making.

• The NERC Digital Solutions Hub (DSH) stands at the forefront of this data-led transformation.
• Central to this endeavour is the use of data: not just as a passive resource, but as an active driver of insight, accountability and innovation.
• By leveraging the power of spatial data and Geographic Information Systems (GIS), the DSH provides a suite of tools and methodologies to support robust decision making, tackle environmental challenges and maximise the value of NERC’s and other UK data assets.

The Centrality of Data in Modern Decision Making 

The scope and scale of data available to contemporary decision makers has grown exponentially. Data now flows from a multitude of sources: satellites circling the Earth, sensors in urban infrastructure, user-generated content, and vast repositories of government and academic research. This wealth of information presents enormous opportunities, but only when harnessed effectively.  Sound decision making requires not just access to data, but the means to interpret it, integrate it with other evidence and apply it to real- world contexts.

Here, the DSH’s approach is instructive. By focusing on the collection, curation, and analysis of spatial data, it ensures that decisions are grounded in a detailed understanding of place, context, and change.

Driving Innovation 

The DSH is a flagship initiative of the Natural Environment Research Council, designed to transform the UK’s ability to generate, share, and apply environmental data. The programme’s objectives are ambitious: to break down barriers to data access, foster cross-sector collaboration, and unleash the potential of digital technologies in addressing key environmental and social challenges.

Among its primary contributions is the promotion of spatial data infrastructures, which bring together diverse datasets and make them available through intuitive, interoperable platforms. This has profound implications for decision making; empowering policymakers, planners, and researchers with the timely, high-quality evidence they need.

Enabling Evidence-Based Policy 

One of the most significant impacts of the programme is its ability to underpin evidence-based policy. Through the integration of spatial data and GIS, decision makers gain access to a rich tapestry of information on land use, biodiversity, climate change, human health, population dynamics and more. This enables the identification of trends, risks, and opportunities that might otherwise remain hidden.

For example, spatial data can illuminate patterns of urban expansion, highlight areas of environmental vulnerability, or support the targeting of resources to communities most in need. The capacity to visualise and map these factors, often in real time, greatly enhances the effectiveness of policy interventions.

Supporting Cross-Sector Collaboration 

The challenges facing society, from climate change to housing provision, cannot be solved by any one sector alone. The DSH recognises this, fostering collaboration and knowledge exchange across government, academia, industry, and civil society. By providing shared access to spatial data and digital tools, it helps break down traditional silos and enables collective action.

Notably, the programme has supported a range of demonstration projects where data-driven decision making has delivered tangible benefits. These include urban flood mapping, climate change impacts on housing and communities, air pollution impacts on human health, habitat restoration planning, and infrastructure development, each underpinned by robust spatial analysis and stakeholder engagement.

The Power of Spatial Data, GIS and Mapping 

Spatial data, information about the location, shape, and relationships between physical features, lies at the heart of efforts to understand and manage complex systems. When combined with the analytical and visual capabilities of GIS, it becomes a transformative asset for decision support.

GIS enables users to layer multiple datasets, revealing how different factors interact across space and time. For instance, environmental managers can overlay maps of soil type, land cover and rainfall to assess flood risk, while public health officials can combine demographic and pollution data to identify at-risk populations. Such integrative analysis is crucial for holistic, system-wide decision making.

Scenario Planning and Forecasting 

Beyond describing the present, spatial data and GIS are invaluable for exploring possible futures. Decision makers can build scenarios, testing how different policies, investments, or events might shape outcomes, and use these insights to plan for resilience and sustainability. The DSH provides the data infrastructure and insight needed to support such forward-looking approaches.

Spatial Data in Action 

Consider the challenge of managing urban green spaces. Local authorities must balance competing demands for recreation, biodiversity, urban cooling, and new housing, often with limited resources. Through the DSH, councils can access up-to-date spatial datasets on land cover, public accessibility, and ecological value.

Using GIS, planners can map current provision, identify gaps, and model the impacts of proposed developments. This empowers them to make defensible, evidence-led decisions that reflect both community needs and long-term sustainability goals.

Challenges and Future Directions 

While the potential of data-driven decision making is immense, it is not without challenges. Data quality, interoperability, and metadata are critical to ensuring that data delivers public value. Poor or inconsistent metadata remains a major barrier to data discovery, reuse, and integration, even where datasets comply with established standards such as the UK Government Data Standards and the INSPIRE Regulations. The DSH is addressing this gap by building capability and promoting clearer, more consistent, and machine-readable metadata aligned with standards and applying the FAIR principles. Strengthening metadata quality, particularly around provenance, update frequency, uncertainty, and fitness for purpose would significantly enhance interoperability and support more effective, evidence-based decision-making across government.

Going forward, there is an urgent need to democratise access to spatial data and GIS tools so that communities, businesses, and policymakers can meaningfully participate in the data revolution. This requires coordinated action at national level, particularly from The Department for Science, Innovation and Technology for data standards, digital skills and infrastructure and The Department for Environment, Food and Rural Affairs for environmental data and public-sector geospatial assets, working with NERC and devolved and local government to reduce barriers to access and use. Targeted investment is needed in applied spatial data training, including core data literacy, metadata and data stewardship skills, and practical GIS and analytics capabilities for non-specialists across the public and third sectors. International examples such as national geospatial knowledge hubs and open geospatial communities (e.g. cross-sector geospatial networks in the Netherlands and Finland) demonstrate the value of sustained collaboration between government, academia, industry and civil society through online communities, regular practitioner forums and joint innovation programmes. The DSH contributes to this agenda by providing open platforms, shared tools, and collaborative networks that support skills development, knowledge exchange, and co-production between data providers and users, helping to translate spatial data into more inclusive and effective decision-making.

Conclusion 

The role of data in supporting decision making has never been more critical. Through initiatives like the DSH, the UK is laying the foundations for a more informed, agile, and resilient society. By harnessing the unique power of spatial data and GIS, we can better understand the world around us, anticipate future needs, and deliver policies and actions that are both effective and equitable.

As we look to the future, continued investment in data infrastructure, capacity building, and innovation will be essential. By doing so, we can ensure that data fulfils its promise as a driver of positive change across the environment, health, economy, and society.