Progress of Open Access to Scientific Data in East Asian Countries

1. Progress of Open Access to Scientific Data in East Asian Countries Prof. LIU Chuang Chinese Academy of Sciences 8 May 2007, Sao Paolo Brazil

2. Progress of Open Access to Scientific Data in East Asian Countries • The Altitude Changes Regarding the Role of Scientific Data • Digital “Storm” – Information Infrastructure • New Vision – Application Driven • The UN GAID e-SDDC in East Asia

3. The Altitude Changes Regarding the Role of Scientific Data – Take China as an Example • Before 1980 - Data is very fundamental work for scientific research – it is not the major body of scientific research No data archives in most research institutes Very few person who are dealing with scientific data host the university degree, most of them have middle or high school certificates only

4. The Altitude Changes Regarding the Role of Scientific Data During the 20 years from 1980 – 2000 - Scientific Data is important resources • It is a potential channel to make money if put the special resources into a market vehicle • Duplicate versions for a same kind of data • Data quality in trouble • a number of teams on digital job growing • New challenges for government to make policies

5. The Altitude Changes Regarding the Role of Scientific Data After 2000 - Scientific Data Policy Review – Scientific Data is not only the organizational resources, but the public goods. • Open Access policy could be right choice • Balancing the interests and benefits among different agencies, communities is not easy to do • Funding driven to start it from vision into action

6. The Altitude Changes Regarding the Role of Scientific Data After 2000 – Data archived, more and more data public available • On line metadata and off line services • Big storage and small uses

7. Digital “Storm” – Information Infrastructure • National Facilities and Information Infrastructure for Science and Technology of China (NFII), e-Government by all Agencies, e-Science by CAS • Digital Asia of Japan • Knowledge Network of Malaysia • National Information Infrastructure of Thailand, Mongolia, South Kerea • Information Systems for Great Mekong Subregion, IRRI (Philippines), ICIMOD (Nepal)

8. Example:COEP ( Coordinated Enhanced Observing Period) is one of the most productive information infrastructure in AsiaFrom Prof. Toshio Koike, University of Tokyo

9. Three Unique Capabilities Convergence of Observations A Prototype of the Global Water Cycle Observation System of Systems

10. Nine Numerical Weather Prediction (NWP) Centers, NCEP, ECPC,UKMO, ECMWF, JMA, CPTEC, BoM, NCMWF, and CMC, and two Data Assimilation Centers, NASA/GMAO, NASA/GLDAS provide model outputs to CEOP, and CEOP offers a globally consistent data sets for model validation and calibration. Three types model outputs are offered by NWP Centers • Model Output Location Time Series (MOLTS) at the reference sites: high temporal resolution time-series output • Gridded Output from operational global and regional prediction models • Output from global and regional reanalysis

11. New Vision – Application Driven • Global Alliance for ICT and Development Community of Expertise: Education Global Alliance for Enhancing Access to and Application of Scientific Data in Developing Countries (e-SDDC) The UN GAID e-SDDC in East Asia

12. Lead Organizations Lead Organization: Chinese Academy of Sciences Co-Lead Organizations: • CODATA (International organization) • CRIA (Brazil) • NRF (South Africa) • CIESIN/Columbia University (USA) • CCIT/CAST (China) • ISC (China)

13. e-SDDC Mission: Bridging research, education, and policy on scientific data in developing countries under the UN GAID framework, and creating a forum or platform for dialogue for all stakeholders to: (1) identify and evaluate different mechanisms and policies for promoting greater access to and use of digital S&T resources for meeting the needs of developing countries in policy reform in scientific data management and applications; and (2) help build a distributed and decentralized network of networks in scientific data andinformation resources for innovative research, sustainable development, and better life in the developing world.

14. Goals for the Longer Term: To bridge scientific research, education, and policy decision making in order to find tailored solutions for problems faced in developing countries; to enhance the potential advantages of ICTs in their critical accelerator role for the applications of scientific data and information for socioeconomic development and scientific innovation; and to apply these digital resources to the UN Millennium Development Goals in developing countries.

15. Strategy for Implementation:Networking –OpenAccess – Innovation - Development

16. Action Plan: Action Line One – Building the Think Tank NetworkAction Line Two – Scientific Data Center NetworkAction Line Three - Technology Transfer and Assistance NetworkAction Line Four – Training and Online Teaching NetworkAction Line Five – Network on Scientific Data Dimensions of Disaster Mitigation, Poverty Reduction and Public Health

17. CrossB. River, R-C Grassland Ecosystem M - C GMS 6 counties

18. There are two large earthquakes zones in the world, the subduction and great seismic zones surrounding Pacific Ocean; and great seismic zones between India and Euro-Asia Plates. Every year, about 18-20 earthquakes with magnitude over 7.0 will occur in whole of the world, 80-90％ of them distribute in Pacific Region and 1-2 will cause serious casualty and direct economic losses. Provided by Dr. Qu Guosheng, 7 May 2007

19. Thanks