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Publishing and Sharing Research Data for Sciences and Sustainability in the Big Data Era Prof. LIU Chuang Co-Chair of CODATA/ICSU Data Publishing SG in Developing Countries Editor-in-Chief of Global Change Research Data Publishing and Repository Professor of Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences 8 September 2016, Colombo, Sri Lanka

Big Data - Liu Chuang

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Publishing and Sharing Research

Data for Sciences and Sustainability

in the Big Data Era

Prof. LIU Chuang

Co-Chair of CODATA/ICSU Data Publishing SG in Developing Countries

Editor-in-Chief of Global Change Research Data Publishing and Repository

Professor of Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences

8 September 2016, Colombo, Sri Lanka

GEOSS Data Core records – 1,219,917

In which,

86% from OECD countries (1,043688))

14% from the countries else (176,229)

Source (13 April 2015): GEODAB

Challenges (1) – Statistics from

the GEOSS Data CORE

Enhancing the Joint Efforts on Data

Sharing in Developing Countries

We recognize that science has a central role

in the development of the Information

Society.

Sharing research data not only provides

fundamental resources for research, but can

be an accelerator for the knowledge economy

and to achieve the U.N. Sustainable

Development Goals (SDGs).

As we enter the big data era, data sharing in

developing countries has become even more

critical

Every corner of the world should get benefit

from the information society equally. I

Suggest U.N. continue to pay more attention

to and to call research communities,

founding agencies, private sectors and all

stakeholders to reduce the digital divide.

-- LIU Chuang (2015), New York

The President of the United Nations

General Assembly's Informal Interactive

Consultations on WSIS+10, ECOSOC

Chamber, United Nations Headquarters,

New York, 2 July 2015

Challenges (2) – Statistics from Earth Science Journals

> 250 Journals on Earth Science + >200 University Journals in China

More than 30,000 research papers published on environment, earth

sciences, ecology, agriculture, … each year in China

Solution: Data Publishing - Peer review

and have an ID for each dataset

Data development

Data products

Data publishing

Data sharing system

Discoveries and

Engineering products

Practices: www.geodoi.ac.cn

Doing Locally, Networking Globally

• 1 Networking dataset to DOI

ZHANG Yili,LI Bingyu,ZHENG Du.2014.Datasets of the

Boundary and Area of the Tibetan Plateau ( DBATP ) ,

ZHANG Yili,LI Bingyu,ZHENG

Du.2014.Datasets of the

Boundary and Area of the

Tibetan Plateau ( DBATP ) ,

Global Change Research Data

Publishing &

Repository,DOI:10.3974/geodb

.2014.01.12.V1

Dataset

Dataset with ID

• 2 Networking dataset to data paper and DOI

ZHANG Yili,LI Bingyu,ZHENG Du.2014.Datasets of the

Boundary and Area of the Tibetan Plateau

( DBATP ) ,Global Change Research Data Publishing &

Repository,DOI:10.3974/geodb.2014.01.12.V1

ZHANG Yili,LI Bingyu,ZHENG

Du.2014.Datasets of the Boundary and

Area of the Tibetan Plateau

Acta Geographica Sinica, 2014,

DOI: 10.11821/dlxb2014S012

Dataset

Data paper

• 3 Networking dataset to data paper,

discovery publications and DOI

ZHANG Yili,LI Bingyu,ZHENG Du.2014.Datasets of the

Boundary and Area of the Tibetan Plateau

( DBATP ) ,Global Change Research Data Publishing &

Repository,DOI:10.3974/geodb.2014.01.12.V1

ZHANG Yili,LI Bingyu,ZHENG

Du.2014.Datasets of the Boundary and

Area of the Tibetan Plateau

Acta Geographica Sinica, 2014,

DOI: 10.11821/dlxb2014S012

Zhang Yili, Li Bingyuan,

Zheng Du. A discussion on

the boundary and area of the

Tibetan Plateau in China.

Geographical Research,

2002, 21(1): 1-9.

Dataset

Data paper

Discovery

4 Networking dataset to data paper,

discovery publications, DOI and DCI

ZHANG Yili,LI Bingyu,ZHENG Du.2014.Datasets of the

Boundary and Area of the Tibetan Plateau

( DBATP ) ,Global Change Research Data Publishing &

Repository,DOI:10.3974/geodb.2014.01.12.V1

ZHANG Yili,LI Bingyu,ZHENG

Du.2014.Datasets of the Boundary and

Area of the Tibetan Plateau

Acta Geographica Sinica, 2014,

DOI: 10.11821/dlxb2014S012

Zhang Yili, Li Bingyuan,

Zheng Du. A discussion on

the boundary and area of the

Tibetan Plateau in China.

Geographical Research,

2002, 21(1): 1-9.

Dataset

Data paper

Discovery

Data Citation Index

(DCI, SCI)

Web of Science

5 Networking dataset to data paper,

discovery publications, DOI, DCI

and ResearcherID

ZHANG Yili,LI Bingyu,ZHENG Du.2014.Datasets of the

Boundary and Area of the Tibetan Plateau

( DBATP ) ,Global Change Research Data Publishing &

Repository,DOI:10.3974/geodb.2014.01.12.V1

ZHANG Yili,LI Bingyu,ZHENG

Du.2014.Datasets of the Boundary and

Area of the Tibetan Plateau

Acta Geographica Sinica, 2014,

DOI: 10.11821/dlxb2014S012

Zhang Yili, Li Bingyuan,

Zheng Du. A discussion on

the boundary and area of the

Tibetan Plateau in China.

Geographical Research,

2002, 21(1): 1-9.

Dataset

Data paper

Discovery

Data Citation Index

ResearcherID

Web of Science

6 Networking dataset to data paper,

discovery publications, DOI, DCI,

authors, and

decision making

ZHANG Yili,LI Bingyu,ZHENG Du.2014.Datasets of the

Boundary and Area of the Tibetan Plateau

( DBATP ) ,Global Change Research Data Publishing &

Repository,DOI:10.3974/geodb.2014.01.12.V1

ZHANG Yili,LI Bingyu,ZHENG

Du.2014.Datasets of the Boundary and

Area of the Tibetan Plateau

Acta Geographica Sinica, 2014,

DOI: 10.11821/dlxb2014S012

Zhang Yili, Li Bingyuan,

Zheng Du. A discussion on

the boundary and area of the

Tibetan Plateau in China.

Geographical Research,

2002, 21(1): 1-9.

Dataset

Data paper

Discovery

Data Citation Index

ResearcherID

Web of Science

Decision Making

references

Conclusion

A. Data publishing and full-open-free sharing in

developing countries are crucial for innovative

development and reaching SDGs.

B. Peer Review Data Publishing is the most

advantage way to encourage scientists to be

evolved in full and open research data.

C. Networking local datasets into the global

systems will benefit both scientists and society

D. N-S, S-S cooperation should be encouraged