Partner Perspective

An open database of geo-data for the SDGs

A new SDG Big Data Platform by The International Research Center of Big Data for Sustainable Development Goals (CBAS) aims to integrate Big Earth Data for monitoring and prediction of the Sustainable Development Goals and it provides decision support for its implementation.

WGIC Secretariat September 20, 2021
Open database of geo-data for SDGs

Last week, our partners within WFEO CEIT (Committee of Engineering for Innovative Technologies) kindly recommended Dr. Fang CHEN of the Chinese Academy of Sciences (CAS) to the WGIC. He is one of the geo-information specialists to attend a planned joint working group of WFEO and WGIC.

Harness Big Data
The International Research Center of Big Data for Sustainable Development Goals (CBAS) aims to harness Big Earth Data to serve the UN 2030 Agenda for Sustainable Development. The Center is hosted by the Chinese Academy of Sciences (CAS), featuring multidisciplinary research related to Earth system science, social and economic sciences, as well as sustainability science. Specifically, the Center is devoted to the monitoring and evaluation of SDG indicators in the areas where Big Earth Data plays a key role, including environmental commons, urban and peri-urban development, food security and energy decarbonization.

Six SDGs
The Sustainable Development Goals are a blueprint for achieving a better and more sustainable future for us all. They address the global challenges we face, including poverty, inequality, climate change, environmental degradation, peace and justice. They were adopted by all UN Member States in 2015, as part of the 2030 Agenda for Sustainable Development which set out a 15-year plan to achieve the Goals. Currently, the SDG Big Data platform prioritizes six Sustainable Development Goals. These are the SDG 2 Zero Hunger, SDG 6 Clean Water and Sanitation, SDG 11 Sustainable Cities and Communities, SDG 13 Climate Action, SDG 14 Life below Water, and SDG 15 Life on Land. It’s based on a hyper-converged framework. This SDGs platform integrates modules of supercomputing, big data cloud, data storage, and high-speed network, with capacities of 1000 trillion double-precision floating-point supercomputing per second, 50PB data storage, and 10,000 CPU core cloud computing. Self-developed programs have been developed to support 10PB SDGs data management, data analysis and visualization, computation and long-term preservation, etc.

SDGs Practices
CASEarth has already been conducting several studies. A series of typical cases are created and released for reference in the Case Index.

SDGs Workbench
The tools and services provided include SDGs tools which support application services such as on-demand production of products and indicator calculation. Desktop application software and Web application software support SDGs data analysis and application services. Users can access and use personal data and share data. Furthermore, users can apply online for Elastic Cloud Service (ECS), which consists of high-performance computing resources and object storage resources. Online collaboration can be carried out on a per project basis. This includes project member management and resource sharing within a project.

Tools: SDGs Data Products, Analysis, Earth Data Miner

Earth Data Miner.

SDGs Data Analysis is an online code developing system for SDGs indicators data processing and analysis. Relying on the core technical framework driven by the Earth Data Miner, SDGs Data Analysis provides a compound online work environment for Python coding, with access to SDGs data products in the Databox, enabling migration and integration of SDGs indicator algorithms.

EarthDataMiner provides a cloud-based online integrated development environment, which supports scientists to carry out Big Earth data mining analysis and visualization through code development, Jupyter Notebook and other tools.