Progress of Open Access to Scientific Data in East Asian

Countries

Prof. LIU Chuang

Chinese Academy of Sciences8 May 2007, Sao Paolo Brazil

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

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

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

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

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

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, M

ongolia, South Kerea Information Systems for Great Mekong Subregion,

IRRI (Philippines), ICIMOD (Nepal)

Example:COEP ( Coordinated Enhanced Observing Period) is one of the

most productive information infrastructure in Asia

From Prof. Toshio Koike, University of Tokyo

Convergence of Observations A Prototype of the Global Water Cycle

Observation System of Systems

Three Unique Capabilities

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

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.

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

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)

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 and information resources for innovative research, sustainable development, and better life in the developing world.

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 Developme

nt Goals in developing countries.

Strategy for Implementation :

Networking –OpenAccess – Innovation - Development

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

Reduction and Public Health

GrasslandEcosystemM - C

Cross B.River, R-C

GMS6 counties

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

Thanks