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1 Open Access to the Scientific Dat Open Access to the Scientific Dat a: Promoting Science and Technolog a: Promoting Science and Technolog y Innovation y Innovation Professor Guanhua XU Professor Guanhua XU Minister for Science & Technology of Minister for Science & Technology of China Member of CAS, TWAS, IAA China Member of CAS, TWAS, IAA 20th CODATA International Conference 20th CODATA International Conference Beijing, October 23, 2006 Beijing, October 23, 2006

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Open Access to the Scientific Data: ProOpen Access to the Scientific Data: Promoting Science and Technology Innovatimoting Science and Technology Innovati

onon

Professor Guanhua XUProfessor Guanhua XU

Minister for Science & Technology of China MeMinister for Science & Technology of China Member of CAS, TWAS, IAAmber of CAS, TWAS, IAA

20th CODATA International Conference20th CODATA International ConferenceBeijing, October 23, 2006Beijing, October 23, 2006

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I. Scientific Data Sharing and the I. Scientific Data Sharing and the InnovationInnovation

on Science and Technologyon Science and Technology

II. Overall Idea on Promoting the ScientificII. Overall Idea on Promoting the Scientific Data Sharing in ChinaData Sharing in China

III. ProgressIII. Progress

IV. ImpactsIV. Impacts

V. Further ConsiderationsV. Further Considerations

OutlineOutline

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I. Scientific Data Sharing and the Innovation on Science and Technology

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• As the economic globalization speeds up, the global flow and As the economic globalization speeds up, the global flow and allocation of essential factors of production such as capital, allocation of essential factors of production such as capital, information, technology, and talents become much more information, technology, and talents become much more common than ever before. common than ever before.

• Technology advancement and innovation are turning to be the Technology advancement and innovation are turning to be the main ways of improving a country’s comprehensive national main ways of improving a country’s comprehensive national strength and core competitiveness. strength and core competitiveness.

• It already becomes a universal strategic choice to rely on It already becomes a universal strategic choice to rely on science and technology to realize the sustainable exploitation science and technology to realize the sustainable exploitation of resources and promote the harmonious development of resources and promote the harmonious development between human and nature. between human and nature.

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Chinese government gives a top priority to Chinese government gives a top priority to S&T development S&T development

• Compiled Compiled Development and Layout Outline of National Development and Layout Outline of National Science and Technology Development in a Middle and Science and Technology Development in a Middle and Long Term (2006-2020)Long Term (2006-2020) based on two years of strategic based on two years of strategic researchresearch

• State Department established a leadership team for State Department established a leadership team for development and layout of national science and development and layout of national science and technology development in a middle and long termtechnology development in a middle and long term

• Organized 2000+ experts from various disciplines and Organized 2000+ experts from various disciplines and industries as participantsindustries as participants

• Conducted strategic research on 20 key special topics and Conducted strategic research on 20 key special topics and 168 key problems168 key problems

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National Science and Technology (S&T) Infrastructure Platform

Research

& Development

Platform

Fruits

transfer

service

platform

Large science equipment and experiment base

Scientific Data sharing

natural S&T resource Sharing and service center

S&T library resource service network

Network environment for S&T

Technology support service base

Technology transfer service base

S&T corporations nurture service system

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II. Overall Idea on Promoting the Scientific Data Sharing in China

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Overall ObjectiveOverall Objective (-2020) (-2020)

– Build a more user friendly scientific data manaBuild a more user friendly scientific data management and sharing system gement and sharing system

– Develop a set of supportive policies, laws and Develop a set of supportive policies, laws and standardsstandards

– Build up a professional service group with carBuild up a professional service group with career reward mechanismeer reward mechanism

– 80%80% of scientific data available to the general of scientific data available to the general publicpublic

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Short-termShort-term Goal Goal (-2010) (-2010)

Three-tier structure - 40 scientific data centers or networks

- 300 master databases

- 1 gateway

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Guideline Guideline

– based on the need of science and technology in

novation

– integrate and open access to scientific data res

ources generated and accumulated by national r

esearch projects with a focus on public-welfare

and basic data resources

– creating an open atmosphere for sharing scienti

fic data resources in the society

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PrinciplePrinciple

– Overall planning and resources sharing

– Cooperative constructing and unified standards

– Demand-oriented and guaranteeing security

– Priorities stand out and pilots go first

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Framework and ArchitectureFramework and Architecture

1. Logical Framework of China-SDSP1. Logical Framework of China-SDSPChina-SDSP is a three-tiled system: master databases, scientific data China-SDSP is a three-tiled system: master databases, scientific data centers or networks, and Gateway Web sitecenters or networks, and Gateway Web site

2. Scope of Data Sharing Supported by China-SDSP2. Scope of Data Sharing Supported by China-SDSPChina-SDSP also functions as a catalyst. Its original purpose is to China-SDSP also functions as a catalyst. Its original purpose is to integrate publicly funded data resources, but its long-term goal is to integrate publicly funded data resources, but its long-term goal is to leverage all possible data resources from government to the private leverage all possible data resources from government to the private sectors, and make them available to the general public.sectors, and make them available to the general public.

3. Service Architecture of China-SDSP3. Service Architecture of China-SDSPChina-SDSP may provide services in various ways: facilitating the China-SDSP may provide services in various ways: facilitating the consistent management of distributed databases; providing a content consistent management of distributed databases; providing a content service and data service, as well as other services mentioned.service and data service, as well as other services mentioned.

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Gateway to China Scientific Data Sharing Program

Natural Scienceand Environment

Agriculture

Populationand Health

Basic and Frontier Sciences

Engineering andTechnology

Regional Development

Meteorological Scientific Data Center

Rural Development Sci Data Center

Agricultural Scientific Data Center

Basic Medicine Scientific Data Center

Rural Development Sci Data Center

Population Control Sci Data Center

Earth System Scientific Data Center

Space Environment Sci Data Center

………………………………………………

………………………………………………

About 300 Master Databases

In 40 Data Cent

ers

Disciplines Disciplines Data Center / NetworksData Center / Networks Master Database Master Database

Data Users

Architecture and Framework of China SDSP

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III. Progress

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Policy and legal framework

• Define the legal framework of policies and regulations

– National level• Science and Technology Advancement Law (revised draft),• Science and Technology Resource Sharing Law (research carried out on

the platform),• Scientific Data Sharing Regulation (draft)

– MOST• Administrative Method of Scientific Data Sharing Program (draft for

inviting opinions)• Administrative Method on Data Integration/Submission of National

Science and Technology Plan Projects (prepared for test)• Method on Selection, Examination and Evaluation Pilot Projects of

Scientific Data Sharing Program (prepared for publication)

– Participant departments• 39 rules and regulations on data sharing made by relevant departments

in various domains

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Standardization

• Develop 32 standards and criteria,23 have been completed, standard training was held for 3 times

• Based on the top design, relevant departments have made more than 120 data management standards in various industries and domains

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Pilot projectsPilot projects

– Meteorology Data Center– Surveying & Mapping Data Center– Hydrological Data Center– Seismology Data Center– Oceanic Data Center– Land & Resource Data Center– Agriculture Data Center– Forestry Data Center– Medicine & Health Data Sharing Network– Earth System Science Data Sharing Network– Sustainable Development Information Network– …

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International cooperationInternational cooperation

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• Study tours to the U.S. and EU countries were organized in 2004 and 2005 for exchanging experiences and making investigations on global scientific data resource management

• Scientific data centers (networks) also build channels for international cooperation and bring in large amount of global data resources

• Numbers of centers (network) cooperate with CODATA under ICSU on data exchange and sharing

• Earth System Science Data Sharing Network signed a data mirror agreement with the University of Maryland, gradually introducing satellite image data of the U.S. Landsat TM/ETM+

• With funding support from the project, meteorological data sharing center grows high potentiality for international cooperation

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IV. Impacts

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Data sharing culture and data service awareness

• the concept of “Scientific Data Sharing” has been broadened from limited scientists’ groups, spreading gradually among governments, departments, units and social public.

• Implementation of “the project” not only reinforced data sharing of atmosphere data within certain industry, but also drove data exchange among different industries.

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Searching “google” with the words “ 科学数据共享” (Chinese characters for scientific data sharing) found over 5 Million hits.

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Data Standards and Criteria Play Active Roles in Data Sharing in Diverse Industries

• 23 specific criteria has been completely developed, which involved in construction of scientific data resource, setting up and managing of projects, effect evaluations of scientific data sharing.

• Roles in the constructing period– Specified requirements for constructing and managing

the project

– Specified requirements for building up science data resources

– Regulated the discover and access service of scientific data sharing resources

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The Integration Revitalized Basic and Public- welfare Scientific Data Resources

• Through SDSP, the data integration and sharing revitalized more than 25 billion Yuan of data resources produced by the state.

• According to incomplete statistics, by December 2005, pilot projects supported by SDSP had integrated and rebuilt 864 databases, more than 10 thousand data sheets and nearly 50TB data are available, which involved in almost one third of current public-welfare and basic scientific data in China.

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Impacts of Data Services

• In accordance with incomplete statistics, by the end of 2005:

– The number of accessing users: over 14 million totally – Registered users: nearly 50 thousand– Downloaded data volume:15TB

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• User Analysis– Over 50 % of the users are from educational system

and scientific research institutes– The data obtained are mainly used in scientific

research, education, science popularization and diverse plans making

• Major Projects Supported– Provided basic data support successively for over 1225

national key projects (of 973, 863 projects, and nature funds)

– Effectively promoted science and technology innovation and social development in China

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• WDC Comments

– In July, 2005, World Data Center (WDC) investigated 9 sub centers in China. They concluded:

• In recent years, the 9 sub centers of WDC built in China made great progress, all of which are included in SDSP

• The amount of data continuously increased, the soft/hardware environment improved constantly, data exchanges got more and more frequent , precious materials had been successfully protected

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Professional Teams

Through 5 years’ training, relevant departments and agencies have brought up teams of engineers. They are specialized in data standard, data sharing policy, database rebuilding and standardization, data service, data analysis, data websites. In addition, a great number of graduate students are under training.

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V. Further Considerations

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Challenges

• Relevant policies, laws and regulations need to be perfected and put into practice

– Policies to encourage data sharing, long-term effective operation mechanism and evaluation policies for data sharing, and data sharing policies of specific industries are insufficient or need to be perfected.

• The gap between SDSP general standards and specific standards in specific domains need to be filled.

– There are gaps between SDSP general standards and specific standards in relevant domains. Some domains lack systematic data sharing standards and criteria.

• Authentic data resources need to be further integrated– Effective integration of dispersed data resources is necessary for

building world-class databases.

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To build up the future of China’s scientific data sharing scheme, top priority must be given to 4 aspects:

– Improve laws, policies and regulations– Promote SDSP standards and criteria system– Construct National Scientific Data Sharing

Center– Enhance International Cooperation

Further Considerations

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Improve laws, policies and regulations

Establish a complete policy adjustment and legal guarantee system to regulate all links of scientific data’s collection, integration, sharing and utilization, adjust the interests between data owners, management staff and users, and accordingly create and maintain an order of scientific data opening and sharing, safeguard a sustainable and sound development of data sharing.

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Promote SDSP standards and criteria system

Since scientific data originate from the scientific activities of observation, monitoring, research, experiment and investigative analysis from departments and units, they involve different types, complex in content, different in format and vast in amount. To realize a full sharing of scientific data, a uniform standard and criteria system must be established to guide the data conforming, integration and exchange service and improve the quality of data resources.

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Construct National Scientific Data Sharing Center

MOST plans to establish a number of national scientific data centers (networks), and the national databases will be generated from these centers. The breakthrough of data resource construction shall focus on the integrated data from government produced, owned and funded projects, so as to facilitate the effective and wide use of the data by the whole society.

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International Cooperation

China pursues the policy of reform and opening up. We wish to introduce the mature mechanism as well as standards of data management from abroad. We encourage Chinese scientists to collaborate with international scientific community, toward a grand international platform.

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Future cooperation

• Carry out exchanges, research and discussions on policies, with an emphasis on the evaluation of achievements, incentives and effective long-term operation mechanism.

• Encourage bilateral and multilateral cooperation, with a focus on international exchange and sharing of data in various domains.

• Promote training of talented people and technology exchange on policy research, standards, database technology, data analysis and network service.

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Acknowledgement

SDSP steering committee

SDSP expert committee

SDSP working group

CODATA-China

CODATA