[CODATA-international] International Symposium “Global Collaboration on Data beyond Disciplines”, 23-25 September 2020; "Special Collection" to the Data Science Journal

Masaki Kanao _ NIPR kanao at nipr.ac.jp
Tue Nov 17 00:02:39 EST 2020

Dear colleagues, CODATA-international

I am happy to make an announcement on the proposed special issue for
an online symposium; International Symposium “Global Collaboration on
Data beyond Disciplines”, 23-25 September 2020. 【DSWS-2020】

“Special Collection” in the Data Science Journal:
The organizing committee for DSWS-2020 is planning to launch the
“Special Collection” in the Data Science Journal
(https://datascience.codata.org/collections/special/) as a special
issue volume of the symposium. Detail information is listed as below
and in the attached doc.file, as well as in the conference web-site

Title of the Special Collection:
"Multidisciplinary Data Activities Bridging the Research Community and Society"

The global data community, led by the World Data System of the
International Science Council (WDS), organized the International
Symposium on ‘Global Collaborations on Data beyond Disciplines’ on
23–25 September 2020 (https://ds.rois.ac.jp/article/dsws_2020/). This
online conference was conducted whilst the world was in the grips of
the COVID-19 pandemic. The significance of multidisciplinary
approaches to data management and of Open Data were comprehensively
discussed by participants. Many presentations highlighted the close
connection between data-oriented activities and society. Examples
included mitigating against detrimental environmental changes,
disasters, and health crises worldwide, including the large efforts to
combat COVID-19. An overriding conclusion of the symposium is the
vital role of data scientists in developing multidisciplinary data
systems that can contribute to solving the pressing problems faced by
society; in particular, the achievement of the United Nations
Sustainable Development Goals that necessitates the integration of
multiple sources of data. This proposed ‘Special collection’ will
include article submissions that outline best practices for developing
data systems and data analysis procedures from a multidisciplinary
viewpoint. Contributions are not restricted to presenters at the
symposium or to any specific region, rather the editors welcome
submissions from anyone globally for whom the symposium themes

Guest Editors:
 Tomoya Baba (Research Organization of Information and Systems)
 Rorie Edmunds (International Programme Office of the World Data System)
 Elaine Faustman (University of Washington)
 Masaki Kanao (Research Organization of Information and Systems)
 Juanle Wang (China Academy of Science; Editorial Board of the Data
Science Journal)

Expression of Interest (EoI):
 Please input your Expression of Interest for the "Special Collection"
to the following Google Form;

You are required to input the information on “Author(s),
Affiliation(s), Contact Address and Tentative Article Title(s)”. This
EoI Form will be closed by 10 December 2020.

We are planning to compile the list of Expression of Interest for the
"Special Collection" by 10 December then send the list of candidates
for article submission to the Editor In Chief of the Data Science Journal.

Please check the attached file and the URL for EoI, and give you
intention for article submission. The organizing committee is looking
forward to your Expression of Interest for the "Special Collection".

Thank you for your cooperation.

Sincerely yours,
Masaki Kanao
LOC, DSWS-2020

Dr. Masaki Kanao, Associate Professor,
   * Polar Environment Data Science Center (PEDSC),
       Joint Support-Center for Data Science Research (DS),
         Research Organization of Information and Systems (ROIS)
 ** Geoscience Research Group, National Institute of Polar Research (NIPR), ROIS
*** The Graduate University for Advanced Studies (SOKENDAI)
Address: 10-3, Midori-cho, Tachikawa-shi, Tokyo 190-8518, Japan
Tel: +81-42-512-9026, Fax: +81-42-512-9079
URL: http://researchmap.jp/read0211630/
E-mail: kanao at nipr.ac.jp

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