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专刊征稿:减灾研究历史数据集

2017-06-13

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Call for papers: Special Issue on Historical Datasets for Disaster Mitigation and Research

Hosted by the Chinese Academy of Sciences (CAS) and published by the Computer Network Information Center, CAS, China Scientific Data (CN11-6035/N, ISSN 2096-2223) is a journal publishing data papers of multidisciplinary fields. The journal is committed to promoting rapid publication and dissemination of valuable research data. CSDATA announces a special issue on “Historical Datasets for Disaster Mitigation and Research”, which is scheduled to come out in October 2017. Submissions are now invited.

Description

Data has been regarded as one of the most important resource for disaster reduction, such as the quick response maps from observed data, the disaster loss information from multidisciplinary data, the knowledge and decision from mass information, the advice to post-disaster construction from stakeholders and the early warning and risk research from data simulation.

If natural disaster is understood as the special phenomena for health of earth system, , the multidisciplinary data to record the event of certain disaster is the historical documents for future research, as the medical examination data for illness of human beings. However, most of such historical datasets for certain natural disaster events have been lost in the past decades, even these events impacted and heat all heart around the world for their damage. 

In recent years, there was a surge in the volume of the historical disaster collection, preservation and data sharing. More and more such datasets can be discoverer and accessible. But few of disaster datasets are published to make them trust, copyright-clear, and cited. 

Supported by CODATA Task Group of Linked Open Data for Global Disaster Risk Research (LOD), the Special Issue on Historical Datasets for Disaster Mitigation and Research in journal of China Scientific Data is a attempt to apply data publish in the field of disaster reduction. All submission should be a package of data paper and its datasets. Each datasets should focusing on certain disaster event, and the name of disaster event is suggested to appear in the title of paper and dataset.

Guest Editors

LI Guoqing, Professor, Institute of Remote Sensing and Digital Earth of China, co-chair of CODATA/LOD Task Group, Member of the WDS Scientific Committee;

Bapon (Shm) Fakhruddin, Tonkin + Taylor, New Zealand, co-chair of CODATA/LOD Task Group,Member of the IRDR Scientific Committee;

Virginia Murray, Public Health England, co-chair of CODATA/LOD Task Group,Member of the IRDR Scientific Committee, vice-chair of the UN International Strategy for Disaster Reduction (ISDR) Scientific and Technical Advisory Group ;

Simon Hodson, Executive Director of ICSU/CODATA;

Chen Fang, Professor, Institute of Remote Sensing and Digital Earth of China, director of TWAS-CAS CoE on Disaster Research;

Manuscript Preparation

Manuscripts should be written in English, containing a full description of datasets which includes collection and processing methods, quality assessment and validation measures, and other relevant information that facilitates data interpretation and (re)use. See the file enclosed for detail.

How to Submit

Authors can submit the article online at the website of China Scientific Data (www.csdata.org).

Datasets should be deposited in an accredited repository (e.g., www.sciencedb.cn).

Submission Due

November 30, 2017

Contact

Email: csdata@cnic.cn, xiejb@radi.ac.cn