[Esip-preserve] FW: [CODATA-international] Reviews and comments requested on Draft White Paper: 'Gap Analysis on Open Data Interconnectivity for Global Disaster Risk Research'

[Hampapuram Ramapriyan]

All,

Some (many) of you may be on the CODATA e-mail list and may have already seen this, but I thought you might be interested in this and may want to make comments. I have not looked at the details, but the topic sounds interesting and relevant.

Rama.

 

From: CODATA-international [mailto:codata-international-bounces at lists.codata.org] On Behalf Of Asha CODATA
Sent: Friday, June 17, 2016 2:10 AM
To: codata-international at lists.codata.org
Subject: [CODATA-international] Reviews and comments requested on Draft White Paper: 'Gap Analysis on Open Data Interconnectivity for Global Disaster Risk Research'

 

Reviews and comments requested on Draft White Paper: 'Gap Analysis on Open Data Interconnectivity for Global Disaster Risk Research'

 

The CODATA Task Group on Linked Open Data for Global Disaster Risk Research invites external review and comment on a draft White Paper which presents a 'Gap Analysis on Open Data Interconnectivity for Global Disaster Risk Research’.

 

Comments are invited by 30 September 2016.  Comments may be sent to the Task Group coordinators:

*	LI Guoqing (ligq at radi.ac.cn); 
*	Carol SONG (carolxsong at purdue.edu); 
*	ZHANG Hongyue (zhanghy01 at radi.ac.cn);

or may be made directly on a Google Doc version at https://docs.google.com/document/d/1u4v9NKJw6sWyIzpoQTJ4ELjp50KAO7c66Yz-WRQe-hA/edit

 

Please consult both the summary document and the white paper itself.

 

*	White Paper: Gap Analysis on Open Data Interconnectivity for Global Disaster Risk Research
*	Summary: Gap Analysis on Open Data Interconnectivity for Global Disaster Risk Research 

 

>From the Introduction to the White Paper:

 

Gaps in data infrastructure, data sharing policies and data use governance must be addressed to unleash the potential of disaster research in helping regions, especially the developing countries, to improve risk assessment, reduction and mitigation. Two related areas are being studied: open data , and data interconnectivity . The data­driven nature of disaster research demands open access to scientific data, as it is impossible to fully understand the cause and impact of a disaster event without consulting multiple types of data. In addition to open data, disaster researchers face perhaps a greater challenge –to find relevant data sets in a “sea” of distributed and disparate data resources. The next generation data infrastructure must provide linkage of data, helping researchers to find relevant data across distributed data holdings.

 

As stated in the Sendai Framework, disaster risk reduction requires a multidisciplinary approach and decision­making based on the open exchange and dissemination of disaggregated data. It is urgent to enhance the scientific and technical work on disaster risk reduction and its mobilization through the coordination of existing networks and scientific research institutions at all levels and in all regions. In answering this call to the science community, it is of utmost importance to promote and practice the collection, management, opening up and sharing of scientific data related to disaster risk research, as well as the employment of relevant technologies and applications, consistently and globally. This white paper, supported by ICSU and CODATA communities, aims at systematically analyzing the needs for the data infrastructure proposed in the Sendai Framework and providing the conceptual building blocks to help realize the Sendai imperative.


Our vision for the next generation disaster risk research data infrastructure is an interconnected, collective repository of observational and derived disaster­related data that is open, discoverable, and easily accessible and usable by all, enabled by the revolutionary digital technologies today and open access policy embraced by users and providers.
This paper aims at identifying the gaps in technology and relevant policies that prevent effective interconnection of disaster related data and information for use in research, education and public engagement. It examines the current state of information technology for data management and sharing, as well as policies regarding data availability at various levels, and discusses potential solutions and examples toward open data and data interconnectivity for disaster research.



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