> For the complete documentation index, see [llms.txt](https://open-data-institute.gitbook.io/draft-in-progress-smart-data-innovation-guidebook/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://open-data-institute.gitbook.io/draft-in-progress-smart-data-innovation-guidebook/roadmap/building-the-ecosystem.md). # Building the ecosystem **Smart Data is a developing space with no definitive way to implement**. However, ODI research to date suggests that there is an indicative roadmap that Smart Data Schemes can follow from the short run (building the ecosystem) to the long run (evolving the ecosystem). This was first articulated regarding [**the implementation of Open Banking**](https://www.cminds.co/unleashing-mexico-s-fintech-potenti), and has been adapted here to focus on innovation in Smart Data. CDEI has developed a **Smart Data Implementation Guide** in parallel with the ODI Smart Data Innovation Guidebook, specifically focussed on ensuring the development of ethical and trustworthy Smart Data Schemes. Developing smart data in a way that provides benefits to consumers and SMEs will require action over a number of years from various stakeholders. From our initial research and engagement we recommend prioritising the following actions: * [**Research**](/draft-in-progress-smart-data-innovation-guidebook/roadmap/building-the-ecosystem/research-the-landscape.md) the data landscape where a data innovation programme is being planned * [**Convene**](/draft-in-progress-smart-data-innovation-guidebook/roadmap/building-the-ecosystem/convene-the-stakeholders.md) the key stakeholder groups to co-design innovation programmes aimed at providing real value to those groups * [**Assess**](/draft-in-progress-smart-data-innovation-guidebook/roadmap/building-the-ecosystem/assess-the-needs.md) the policies, capabilities and other data infrastructure that can properly support the innovation programme --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://open-data-institute.gitbook.io/draft-in-progress-smart-data-innovation-guidebook/roadmap/building-the-ecosystem.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.