Global Data Commons
The Global Data Commons aims at leveraging the revolution in advanced analytics and Artificial Intelligence to support the achievement of Sustainable Development Goals.
The Global Data Commons aims at leveraging the revolution in advanced analytics and Artificial Intelligence to support the achievement of Sustainable Development Goals. It has been envisioned as a precursor/enabler for the AI for SDG Center (AI4SDG).
We have already seen several successful private-public data collaboration efforts (e.g., Facebook Disaster Maps, Landsat, National Fine Dust Forecast Project).
Data collaboration is critical to creating a Global Data Commons. Despite the huge impact potential and increased appetite to collaborate, data collaborative efforts are still constrained due to 6 main reasons:
- lack of access to quality data,
- technical challenges,
- political/ regulatory challenges,
- legal challenges,
- social challenges,
- business/ commercial challenges
During the 2019 Global Governance of AI Forum, ~40 global technology companies were invited to submit their position on what it would take to create a Global Data Commons. Based on this, we propose a 5-step approach to designing the Global Data Commons
- Scope definition and risk assessment
- Data asset identification, data flow and workflow definition
- Technology solution and infrastructure establishment
- Governance: transparency, accountability and insight
- Contracts and agreement definition
Establishing the GDC will take leadership from a country that is driven by innovation and participation across governments, private sector, research community and individuals.
See the Global Data Commons Summary Poster here.