The Data Futures Exchange (DFx) is a global resource to empower decision-makers with state-of-the-art data and insights for a transformative impact. An open-source data innovation, the DFx connects development needs with cutting-edge solutions. Its comprehensive suite of resources empowers practitioners by fostering data partnerships and collaborations, creating opportunities, offering resources, and enhancing data literacy.
The DFx is part of UNDP’s knowledge and data strategy to lead with knowledge and sharpen the evidence base. The DFx powers evidence-based decision-making with relevant data-led insights by systematically deriving meaning from available data and knowledge.
Why it is Important
Data as a resource cuts across all aspects of development and critical for sustainable solutions in a complex and uncertain world. With the explosion of data at the global, regional and local levels, innovative analytics are needed to understand them. The DFx provides a space where policymakers and development community can connect, generate intelligence from data, observe examples of how data have led to decision intelligence, be exposed to different training opportunities, and observe innovative approaches and innovation within UNDP.
We plan to continue developing this platform and to add more disaggregated and subnational data. We will also build a public API, which lets user gather all the data on the platform.
The Data Future Platform has officially been changed to the DFx with a broader focus on developments areas, sub-national and disaggregated data, and better tools.
Unleashing the power of data partnerships and collaborations
Harness the power of collective effort for meaningful progress and impactful change. DFx Connect nurtures synergies, data partnerships and collaborations to align needs and objectives with systems in place.
Developing robust analytical data products
Dive into the wealth of possibilities made available when traditional and non-traditional data meets innovation to create groundbreaking tools. DFx Data paves the way for transformative solutions for the benefit of data experts and novices alike.
Advancing data-driven decision making
Shape a future where data play a pivotal role in development impact. DFx Decision Intelligence showcases the transformative potential of data where informed choices drive positive change. Access ready-made insights curated to inform strategic choices and catalyse progress.
Facilitating learning, research and the exchange of best practices
Engage, exchange, and learn best practices in data for development. DFx Learning facilitates knowledge exchange and fosters continuous learning on the equitable, principled use of data. Gain insights on innovative approaches and lessons learned in using data to leave no one behind.
Leveraging a reservoir of talent and expertise
Empower your data journey with the right expertise. DFx Talent propels data initiatives with confidence, leveraging experts for informed and impactful decision-making. Access a comprehensive suite of skills in data innovation.
Tech and Innovation
Unlocking the tech stack for data innovation
Integrate cutting-edge technology into your data endeavours. DFx Tech unlocks an emerging tech stack crafted to bolster and magnify possibilities in data innovation. Elevate your data initiatives with the power of forward-thinking technology, ensuring a dynamic and effective approach to harnessing data for impactful outcomes.
All our graphs and charts are created using a React-based data visualization library developed by us. The code is open-source and free to use. With it, you can easily create common charts such as line charts, bar charts, donuts, dumbbell charts, area charts, and maps. We have also built a UI Starter Kit to help you get started quickly.
The Explorer tool facilitates multi-dimensional analysis and is completely open-source. Coming Soon.
The entire codebase used for generating visualizations on DFx is also open-source and can be found on our GitHub page.
The code may require some technical knowledge to implement, and you can reach out to us at firstname.lastname@example.org if you have any questions.
Data Principles for UNDP
UNDP was the first in the United Nations system to adopt a Digital by Default approach, which is geared towards fully integrating digital into programming at both the country and corporate strategic levels.
Plan for reusability and interoperability
Maximize the value of our data by ensuring that it is usable in multiple domains. Make use of open standards and machine-readable formats in order to improve interoperability.
Provide people with the technology and data literacy skills to be able to effectively work with and understand data. Support governments, local communities and civil society partners to strengthen data and statistical capacities.
Whether you are part of a government entity at the national or local level, an international or non-governmental organization, an academic institution, a private sector organization, a researcher, or an individual data enthusiast, join a vibrant ecosystem of users committed to sustainable development – experts and novices alike.
The platform's user-centric design ensures that practitioners can access, analyse and collaborate on data-driven initiatives regardless of the use case, fostering a collaborative approach to achieving the Sustainable Development Goals (SDGs).
UNDP is committed to providing open access to data for sustainable development free of charge. The DFx is publicly available for development data enthusiasts. Access levels may vary depending on the type of user and the data's sensitivity.
The platform hosts a diverse range of data, including socioeconomic indicators, environmental data, demographic information, and much more. It also features datasets related to the SDGs and development projects, as well as tools for data analysis and visualization. Currently, it automatically retrieves over 350 development indicators and counting from over 60 trusted sources.
Datasets featured are not directly owned by UNDP. The ownership of data and the terms of its usage are determined by agreements made between the entities responsible for creating and maintaining each specific dataset. UNDP neither endorses nor verifies the content of datasets owned by external organizations. The decision to include external datasets is based on an assessment of their relevance to issues related to international development. Information about data ownership is clearly outlined in the metadata for each dataset. Data sources are included on each indicator, and further information on methodology, metadata or other technical should be consulted in the data producer’s or compiler’s website and respective methodological and technical materials.
Why are there some differences in data on the platform and the source?
Differences between the source and the DFx could arise from different approaches in the aggregation methodologies at the regional and world levels. The aggregation methodology used to compute the aggregate values on the DFx can be found here.
The success of the DFx relies on collaborative efforts with governments, NGOs, academia, private sector, and other United Nations agencies. Partnerships enable the platform to leverage diverse expertise in storytelling, artificial intelligence, geospatial analysis and economic modelling to achieve collective development goals.
You can contribute to the DFx by jointly exploring ways to advocate for the use of data-driven decision-making in sustainable development policies, collaborating on data-driven projects and initiatives that align with the platform's mission, and sharing relevant data and research.
If you have any questions or would like more details, please write to email@example.com
Are you interested in contributing to this project or the global response? We're looking for people who can contribute data and analyses, as well as organizations interested in partnerships and funding