For each component you will find a subpage with all related information, including:
- Recommended activities
- "Go deeper" section providing insights on specific methods
- academic papers from D4A Partners
- D4A Training Modules (Videos)
- D4A Best Practices
- Podcast episodes
By using the Roadmap, you will quickly gain theoretical knowledge through academic papers, deepen your understanding of data via training modules, replicate tested solutions and pilot experiences through best practices, and learn from international experts and academic partners through podcast episodes.
Initialisation
Initialisation & creation of a data-driven culture and framework in the public sector
The component initialisation is about laying the groundwork for a sustainable data-driven culture. It focuses on understanding your current situation, defining a clear strategy, strengthening foundational skills, and setting up the essential infrastructure - ensuring you have the structure and direction to begin your data journey effectively.
- D4A Best Practice:
- Kungsbacka Data Strategy
- Who do I need in my project team (Checklist Leidal)
- D4A Lessons Learned and Pitfalls to be avoided: xxxxx
- D4A Training Modules: xxxxxx
- "To go further" - Insights on a Method:
- D4A tested method: Content from the Co-Creation Event in Veijle
The initialisation phase lays the foundation for a sustainable data-driven culture. It is about creating clarity, building alignment and ensuring the right conditions are in place before scaling. Key takeaways are:
- Assess and align the starting point – Understand your current data maturity and align stakeholders around a shared vision.
- Define a clear and realistic strategy – Connect data initiatives to business goals with a roadmap balancing quick wins and long-term priorities
- Build foundations: Skills, Culture and Infrastructure – Invest in data literacy, foster a culture of evidence-based decision-making, and establish the essential infrastructure for trusted, accessible data.
Conceptualisation
Conceptualisation & proof of value
The focus of the component conceptualisation & proof of value lays in transforming your initial idea into a viable, value-driven project. It involves sharpening your concept, aligning it with organisational priorities, building the right team and securing buy-in. Here, the goal is to ensure the project has strategic relevance, practical feasibility and the support needed to move forward.
- D4A Best Practice:
- Cooperate with academic partners or NGO’s
- D4A Lessons Learned and Pitfalls to be avoided
- D4A Training Modules
Short intro text explaining the takeaways
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- takeaway 4
Prototyping
Decision on prototyping & proof of concept process
With the focus on determining the best approach for testing and validating your data-driven journey, we suggest a guide to the “Prototyping & PoC process”. Initiatives must decide whether to develop prototypes internally, form collaborations with external consultants or explore alternative strategies. This can ensure that resources are allocated effectively and that potential operational challenges are addressed before moving forward.
- D4A Best Practice: xxxxx
- D4A Lessons Learned and Pitfalls to be avoided: xxxxx
- D4A Training Modules: xxxxxx
- "To go further" - Insights on a Method:
- "citizen participation formats" (Heinrich-Böll-Stiftung)
Short intro text explaining the takeaways
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- takeaway 4
Development
Development - Designing, building and preparing data-driven solutions
For the component of development, we identified six basic activities, which will help you designing and preparing data-driven solutions. From the system architecture and technology selection to the general testing of the Minimum Viable Product, get reliable information and get also inspired by the following D4A Training Modules on Interoperability challenges from University of Oldenburg and on Data Access from the University of Stavanger.
- D4A Best Practice: xxxxx
- D4A Lessons Learned and Pitfalls to be avoided: xxxxx
- D4A Training Modules: xxxxxx
Short intro text explaining the takeaways
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Deployment
Deployment – Rolling out solutions, ensuring functionality and user experience
Deploying data-driven development solutions is a key component where strategy meets execution. A successful deployment ensures that solutions move beyond the pilot stage to “the real-world”, delivering measurable value to users and communities.
- D4A Best Practice: xxxxx
- D4A Lessons Learned and Pitfalls to be avoided: xxxxx
- D4A Training Modules: xxxxxx
Short intro text explaining the takeaways
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- takeaway 2
- takeaway 3
- takeaway 4
Scale-up
Support, maintenance and scale-up
To ensure the long-term success and impact of a data solution, it is essential to plan for its support, maintenance, and scalability. These three pillars form the operational backbone of any data-driven initiative, ensuring stability, performance, and continued relevance as data volumes and user demands increase.
- D4A Best Practice: xxxxx
- D4A Lessons Learned and Pitfalls to be avoided: xxxxx
- D4A Training Modules: xxxxxx
Short intro text explaining the takeaways
- takeaway 1
- takeaway 2
- takeaway 3
- takeaway 4