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img_alt: Soft pink and baby blue water ripples together in a subtle texture.
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img_alt: Black and grey water ripples together in a subtle texture.
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description: |
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We researched geospatial data users and designed guidelines to create user-friendly portals that make data easy to find and use for better decision-making.
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* Non-geo data engineer
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*Investigator Archetype*
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*Investigator user archetype example*
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### User Journeys
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The planning or problem space exploration stage usually doesn’t involve data portal use yet. In this stage some people might be proactively seeking new data challenges, some might be given specific data tasks to solve.
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In the wide search stage people usually rely on search engines or colleagues to get a better understanding of the available data landscape. They might find out that the data they are looking for exists on multiple sources, so they must find a way to identify which one of them is more trustworthy and better suited for their challenge.
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In the wide search stage, people usually rely on search engines or colleagues to get a better understanding of the available data landscape. They might find out that the data they are looking for exists on multiple sources, so they must find a way to identify which one of them is more trustworthy and better suited for their challenge.
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*Good UX formula*
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Deep search stage is the place where people start using data portals in greater depth. They would identify the potential data portals that could hold the data they are looking for and they would want to narrow down the search. Data experts might spend a bit more time in the deep search stage to ensure that the data they found is the one they need, since they might not have the domain knowledge of that specific field.
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The next stage – data evaluation and use – might also be done with the help of data portals. Users might want to examine the possible datasets to ensure that they have the appropriate license and meet their other requirements. There might be some extra steps of registering, purchasing or providing other details before data can be accessed. Many people mentioned that if these additional steps are too tedious it could discourage them from using the data portal or the data itself. They would also like, if possible, to visualise data in an appropriate format for its type and possibly preview a smaller sample of the whole dataset to avoid downloading large files or purchasing the wrong datasets.
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The next stage – data evaluation and use – might also be done with the help of data portals. Users might want to examine the possible datasets to ensure that they have the appropriate license and meet their other requirements. There might be some extra steps of registering, purchasing, or providing other details before data can be accessed. Many people mentioned that if these additional steps are too tedious it could discourage them from using the data portal or the data itself. They would also like, if possible, to visualise data in an appropriate format for its type and possibly preview a smaller sample of the whole dataset to avoid downloading large files or purchasing the wrong datasets.
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## Data Discoverability 3
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During the DD3 project, we collaborated with Ordnance Survey’s UX team to develop design guidelines, recommendations, and wireframes specifically for geospatial portal developers and designers.
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During the Data Discoverability 3 (DD3) project, we collaborated with Ordnance Survey’s UX team to develop design guidelines, recommendations, and wireframes specifically for geospatial portal developers and designers.
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The recommendations are derived from user research findings from previous workstreams. Carl Watson has published a blog post detailing this work:
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## Links
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*[The secret to great geospatial data portals: start with the user](https://geospatialcommission.blog.gov.uk/2021/09/10/the-secret-to-great-geospatial-data-portals-start-with-the-user/)
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The recommendations are derived from user research findings from previous workstreams. Carl Watson has published a blog post detailing this work titled ["The secret to great geospatial data portals: start with the user"](https://geospatialcommission.blog.gov.uk/2021/09/10/the-secret-to-great-geospatial-data-portals-start-with-the-user/).
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> We took a leading role in developing a platform to simplify global hazard monitoring. We designed the initial prototype and conducted a user testing phase with stakeholders from various science agencies.
We created this document to share best practices and address common challenges in user research, development, engagement, and the integration of scientific knowledge, empowering the creation of effective DSTs that maximise their impact.
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This early prototyping and user feedback process will significantly save development time by answering critical questions upfront. The early prototyping and user feedback process will significantly save development time by answering critical questions upfront.
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### Persona Inspiration
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*[Designing for Digital Twins](https://towardsdatascience.com/designing-for-digital-twins-e2b3e07a5d1e)
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*[Digital twins of the natural environment](https://reader.elsevier.com/reader/sd/pii/S266638992100221X?token=3F39E83900E36643E1F8C36907BAEE470CF9B3A81EB170AFA1D9FA22D03917154BE9E55C193D0C44EAF5EE430B466AC3&originRegion=eu-west-1&originCreation=20220408124400)
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*[Digital twins of the natural environment](https://doi.org/10.1016/j.patter.2021.100359)
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*[Towards Environmental Digital Twins in Azure with Dask and Pangeo](https://towardsdatascience.com/towards-environmental-digital-twins-in-azure-with-dask-and-pangeo-71d35414ec58)
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*[How ‘digital twins’ can model future effects of climate change](https://www.greenbiz.com/article/how-digital-twins-can-model-future-effects-climate-change)
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*[How ‘digital twins’ can model future effects of climate change](https://trellis.net/article/how-digital-twins-can-model-future-effects-climate-change/)
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> Our challenge in this project was to prototype a decision support tool which would enable local government, the local community and other relevant partners such as regulators and water utility companies to collaboratively plan and evaluate the environmental sustainability of urban growth planning scenarios using co-designed water neutrality indicators.
*VDR tool will allow users to explore business as usual scenario, create new scenarios and view/edit model settings.*
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*The Virtual Decision Room (VDR) tool will allow users to explore business as usual scenario, create new scenarios and view/edit model settings.*
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## Approach
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* Gain insight into the nature of the planning object
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* Learn about other stakeholders
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* Increase collaboration among stakeholders
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* Share information and knowledge among various stakeholder better
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* Share information and knowledge among various stakeholders better
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* Find agreement on key problems and best solutions
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* Perform key tasks more efficiently
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* Make better informed plans or decisions
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#### The key users and their goals were:
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***Greater Manchester Combined Authority** - Explore VDR to inform the setting of rules needed to reach 2050 goal on managing flood risk
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***United Utilities** - Explore VDR to inform the setting of rules needed to reach 2050 goal on surface water to sewer standards
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***Strategic town planners** - Explore VDR together with United Utilities and Environment Agency to develop a collaborative plan for reaching 2050 growth targets in a sustainable way
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***Greater Manchester Combined Authority**: explore VDR to inform the setting of rules needed to reach 2050 goal on managing flood risk
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***United Utilities**: explore VDR to inform the setting of rules needed to reach 2050 goal on surface water to sewer standards
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***Strategic town planners**: explore VDR together with United Utilities and Environment Agency to develop a collaborative plan for reaching 2050 growth targets in a sustainable way
*VDR tool will allow users to explore business as usual scenario, create new scenarios and view/edit model settings.*
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*The VDR tool will allow users to explore business as usual scenario, create new scenarios and view/edit model settings.*
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## Impact
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Involving users in the early stages of the product development had a number of positive impacts such as:
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1. Better understanding of user needs: user research helped us identify the needs and frustrations of ‘trilateral’ group who would be using this Decision Support tool.
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1. Better understanding of user needs: user research helped us identify the needs and frustrations of a ‘trilateral’ group who would be using this Decision Support tool.
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2. Increased stakeholder buy-in: if the stakeholders feel that their concerns, needs and frustrations are taken into consideration, they are more likely to provide more feedback and answer questions that might arise throughout the project.
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3. Iterate and validate designs: testing and validating designs early on with the users increased the chance of getting the design right and saved time and cost later at the development stage.
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This project is still in early stages of development. Further testing of the working version will allow us to understand the users and the context in which this tool would be used even better.
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If we are successful and can create an effective decision support tool for evidence-led water neutral place making, it can have a number of positive impacts:
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If we are successful and can create an effective decision support tool for evidence-led water neutral place making, it could have a number of positive impacts:
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* Improved water management
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* Reduced water consumption
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If this proves to be a successful tool, it could also be applied to other regions besides Greater Manchester.
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