International Training Workshop for Developing Countries on Big Data for Science, Beijing, June 2014
The International Training Workshop for Developing Countries on Big Data for Science was held at Computer Network Information Center (CNIC), in Beijing, China, from 4-20 June, 2014. There were 21 researchers, data managers, and data scientists from 10 developing countries including Vietnam, India, Mongolia, Indonesia, South Africa, Kenyan, Tanzania, Columbia, Brazil and Uganda attended this training workshop.
The International Training Workshop was co-sponsored by CODATA and Chinese Academy of Sciences (CAS), co-organized by CODATA Secretariat, CNIC, Chinese National Committee for CODATA (CODATA-China). The training program offered aims to engage participants with a number of facets of data science and data management in the Big Data age. Topics include, but are not limited to, interdisciplinary applications of data intensive research, data management policies, cloud computing, visualization and data infrastructure development in the Big Data Age. It focused on data science and data management in the Big Data Era. Through a mix of theoretical study, attending Workshop on Big Data for International Scientific Programmes: Challenges and Opportunities and practical sessions as well as field visits, it helped participants catch the latest Big Data technologies and information.
There are four phases of this Training Workshop:
Phase I： Warming up and academic Lectures
Phase II: Infrastructure, Technology and Tools
Phase III: Best Practice and Case Study in Different Disciplinary
Phase IV: Hands-on and Closing Ceremony
The International Training Workshop for Developing Countries on Big Data for Science was held at Computer Network Information Center (CNIC) from 4th July to 15th July, 2016. There were 21 researchers, data managers, and data scientists from 12 developing countries including Vietnam, India, Botswana, Indonesia, South Africa, Kenya, Tanzania, Ukraine, Poland, Philippine, Nepal and Madagascar attended the training workshop.
The International Training Workshop was co-sponsored by Committee on Data for Science and Technology (CODATA) and Chinese Academy of Sciences (CAS), co-organized by CODATA Secretariat, CNIC, Chinese National Committee for CODATA (CODATA-China).
The training program offered aims to engage participants with a number of facets of data science and data management in the Big Data age. Topics include, but are not limited to, interdisciplinary applications of open research data, data intensive research, data management policies, cloud computing, visualization, analytics and data infrastructure development in the Big Data Age. Through a mix of theoretical study, workshop and practical sessions as well as field visits, the organizers aim to help participants develop a deeper expertise in the latest Big Data technologies for scientific discovery.
There are four phases of this Training Workshop.
Phase I： Warming Up and Academic Lectures
On Opening Plenary Session of Training Workshop, Dr. Simon Hodson, Executive Director of CODATA International, gave a lecture on Global Collaboration in Data Science: an introduction to CODATA. This presentation provides an introduction and overview to CODATA’s current activities and strategy. Then all the participants gave a short presentation on their research and introduce the data challenges and development of science and technology of their countries.
In this part, the lectures focused on data management planning and data visualization, gave an introduction of research data service and visual analytics.
All the participants attended ISDE Digital Earth Summit on 7-8 July and visited National Space Science Center (NSSC) and Huairou Branch of CNIC.
Phase II: Introduction to Data (‘Data Carpentry’)
In this part, professors and experts from institutes of CAS gave lectures including Data Analysis in R, Software Carpentry, Computational Infrastructure, Data Mining and Machine Learning. The course introduced how to handle data structures such as vectors, matrices, data frames and lists, host virtualization technology, Linux shell commands and the basics of local file systems, big data storage and processing, major applications and characteristics of data mining and machine learning
Phase III: Best Practice and Case Study in Different Disciplinary
In this part, professors introduced the case study in their field, including Open Data Policy and Best Practice, Chinese Approach to National Earth Observation Data Sharing, E-science Practice in CAS, Global Change Research Data Publishing, Repository and Sharing, Research Data Publication，Status and Development of Biodiversity Data in China.
Phase IV: Hands-on and Closing Ceremony
All the participants gave presentations and shared their experience and interest from this Training Workshop. Prof. Jianhui Li gave a closing remark and awarded certification to all the participants.
All the participants gave presentation and shared their experience and interest from this Training Workshop as follows：
- AdOne: An open framework for data integrating, sharing and publishing
- INPE Spatial Data Infrastructure for Big Spatiotemporal Data Sets
- CODATA Training Workshop: Overview of things learned and further actions
- EmerDevCoSciPub Index: Interoperability of Scientific Journal Databases for Scientific Comunity Among Emerging and Developing Countries
- Towards Establishing a National Agricultural Research Activity Database
- The issues of ‘big data’ management for a ‘big’ country like India
- Lessons Learnt From The Big Data
- Lessons learnt from the Big data workshop
- CODATA training workshop
- Bridging Offline Word with the Online World- Association Rule Mining
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