Background and Scope:
One of the objectives of the Open Science community is to develop and support new research and technologies based on the vast quantities of data being produced from a broad variety of scientific domains. The importance of the FAIR (Findable, Accessible, Interoperable, and Reusable) Principles for data have been recognized for data-oriented activities in this era of open science, leading to efforts to develop Open Data infrastructure, including: enhanced and integrated metadata catalogues, metadata standards for research data management, and certification of data repositories, among others. In addition, the use of persistent identifiers (PIDs; e.g., Digital Object Identifiers) for people, places, and other entities is becoming best practice in preservation and provision of data produced by their research activities.
Further effort is still needed to resolve various challenges relating to scientific research data, particularly the sharing and reuse of such data. Although the importance of multidisciplinary data integration has been widely advocated, data reuse by scientists within and across disciplines is still not easy from the point of view of the FAIR Principles. For example, there may be difficulties in discovering and accessing the data or insufficient information on the data to enable easy analysis. Often additional information is needed to assist when sharing data with a general audience, including policymakers. To improve the situation, it is important to stimulate collaborations among scientists from various disciplines, and to establish systems that facilitate the interactions between the users and providers of research data.
In response to the above challenges, this session welcomes submissions (either for “Research” or “Practice” presentations) on the following topics involving data-oriented activities in Asia and Oceania area among global scientific and/or non-scientific associations/initiatives. For example, sophisticated data sharing platforms have been planned and developed in the Asia-Oceania area through discussions held as part of previous conferences hosted by the World Data System (WDS). The goal of this session is to build consensus on various aspects of research data management by stakeholders in alignment with open research policies and FAIR principles. The session will explore new ways of promoting interdisciplinary and collaborative research, data management platforms, and efficient data reuse under different scientific disciplines based on evidence and feedback from the Asia and Oceania communities.
It is expected that this conference will lead to a better mutual understanding of various aspects of data management by different stakeholders, and will open new paths for pursuing activities in different fields of science. The activities will play a central role in the promotion of inter-disciplinary sciences and new collaborative research paths based on multi-disciplinary data and directly contribute to global data activities based on the facilities provided by the "Joint Support-Center for Data Science Research (DS)" of the "Research Organization of Information and Systems (ROIS)".
The symposium aims to facilitate information exchange regarding the archiving, publication, and utilization of diverse data related to social issues such as COVID-19 and various global challenges (pandemics, information proliferation, global warming, extreme weather events, regional conflicts, etc.) in the Asia-Oceania region.
Discussions will focus on forming international networks related to open data in the region and establishing concrete cooperation frameworks within an international framework.
Session Themes :
The session topics to be discussed in the symposium are:
- Opening session, Keynote talks: Conveners: *Masaki Kanao, Johnathan Kool, Juanle Wang
- Opening addresses from conference organizers.(Local Advisory Committee, International Advisory Committee, International Science Council)
- Keynote talks by invited speakers.
- Introduction of the symposium content, housekeeping issues, etc.
- Challenges of data systems and networks: Conveners: *Johnathan Kool, Toshihiko Iyemori, Chantelle Verhey, Susumu Goto, Jens Klump, Takashi Watanabe, Jung-Ho Um, Masaki Kanao
- Sharing information on current status and activities of for creating and operating individual and organisational data centres and FAIR data repositories.
- Discussions on international initiatives and alliances on collaborative disciplinary data systems and institutional data centres/repositories.
- Sharing information on practices and practical challenges for stable, sustainable and/or transparent operation and development of data systems and repositories in a realistic environment and regulations.
- Sharing information on regional activities regarding research data networks and discussing opportunities for promoting collaboration.
- Open Science and the FAIR Principles: Why, what, and how: Conveners: *Rorie Edmunds, Estelle Cheng, Hideaki Takeda, Kazuhiro Hayashi, Toshihiro Ashino
- The FAIR Principles describe how research outputs, both physical and digital, should be findable, accessible, interoperable, and reusable. These concepts go hand-in-hand with ensuring the research endeavour is trustworthy and transparent under Open and Global Research Infrastructure. But, what can organizations and individuals do to ensure their research outputs are FAIR and Open? What methods, tools, and infrastructures are available to help them? What guidance exists for them to follow? With a focus on initiatives in the Asia–Oceania region, this session will present practice papers highlighting current trends for implementing Openness and FAIRness from perspectives such as FAIR-enabling frameworks and infrastructure, Open Science policy, and technologies that support multidisciplinary use of research outputs. Significant time will be devoted to discussion among (in-person and virtual) speakers and participants.
- Lessons learned from COVID-19 data: Conveners: *Tomoya Baba, Tadahiko Maeda, Mari Minowa, Elaine Faustman
- Sharing information on COVID-19-related data across disciplines, covering social, genomic and biological aspects in the Asia and Oceania area.
- Exploring the global impact of COVID-19, the role of research collaboration and data sharing in mitigating effects of future pandemics. As this session has a broad international interest, all COVID-19-related data issues are welcome.
- Recent developments in data science: Conveners: *Asanobu Kitamoto, Kassim S. Mwitondi
- Presentations on the applications of advanced data technologies for open science, such as big-data analysis, applications of machine-learning techniques, Artificial Intelligence, and data assimilation.
- Reporting on new research projects leveraging multi-disciplinary data sources and interdisciplinary data-led technology innovations.
- Developing recommendations to support data activities addressing open science, data-centric research and over-arching societal challenges across the Sustainable Development Goals (SDGs).
- Involvement of early career researchers and scientists: Conveners: *Shuji Abe, Akira Kadokura, Masahito Nose, Toshihiro Ashino, Susumu Goto, Takashi Watanabe
- A forum for young-generation researchers and scientists in the Asia-Oceania area to identify current and future societal challenges. This session is led by the WDS Early Career Researchers (ECR) Network
- Developing proposals on training and activities aimed at increasing engagement of young researchers and scientists in the broad data science community.
- Asia-Oceania data forum: Conveners: *Yasuhiro Murayama, Toshihiko Iyemori, Toshihiro Ashino, Takashi Watanabe, David Castle, Juanle Wang
- The forum will be an attempt of networking of data repositories and data sciences in the Asia-Oceania area, including WDS, CODATA and other international activities.
- Discussions will be important on current status and future of open data/science infrastructures in the Asia-Oceania region, as well as in context of international global science data platform.
- GEO variables and data mapping for Cold Regions: Conveners: *Yubao Qiu, Hiroyuki Enomoto, Masaki Kanao, Lanhai Li
- Global warming threatens the world's cold regions, while the essential variables of the Group on Earth Observations (GEO) provide mapping schemes for the data in the current EO system.
- In this session, the GEO Cold Regions Initiative (GEO CRI) calls for a gathering of the GEO variables for cold regions and mapping existing or emergency data products for tackling the challenge of the warming world.
- The topics could be essential variables, GEO data system, and data application, and pilot services using the data stream, and cases studies over cold regions by GEO.
- Strategic discussion: Conveners: *Takashi Watanabe, Juanle Wang, David Castle, Johnathan Kool, Noorsaadah Abd Rahman
- The organizers provide opportunities for conducting individual committee meetings, data networks, and interdisciplinary research groups to discuss future activities in the Asia and Oceania area.
- Focus on specific data-driven applications in the region, institutional collaborations and operational requirements and resources.
Johnathan Kool (Australian Antarctic Division, Data Center)
Yubao Qiu (GEO Cold Regions Initiative (GEOCRI), International Research Center of Big Data for Sustainable Development Goals)
Juanle Wang (Institute of Geographic Sciences and Natural Resources Research, China Academy of Science)
Kassim S. Mwitondi (Sheffield Hallam University)
Chantelle Verhey (WDS-International Technology Office）
Jens Klump (Mineral Resources, CSIRO)
Lanhai Li (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences)
David Castle (University of Victoria)
Conference Week Schedule:
Monday 11 December 2023; Registration, ice breaker dinner
Tuesday 12 December 2023; Public lectures (in Japanese), Reception
Wednesday 13 December 2023; Symposium (Sessions; day 1), Banquet
Thursday 14 December 2023; Symposium (Sessions; day 2), Workig dinner
Friday 15 December 2023; Symposium (Sessions; day 3), Strategic discussion
- Joint Support-Center for Data Science Research (DS), Research Organization of Information and Systems (ROIS)
- Committee of International Collaborations on Data Science, Science Council of Japan (SCJ)
- National Institute of Information and Communications Technology (NICT)
- Research Organization of Information and Systems (ROIS)
- World Data System (WDS) of the International Science Council (ISC)
- Committee on Data (CODATA) of the International Science Council (ISC)
- Science Council of Japan (SCJ)
December 11th (Monday) to December 15th (Friday), 2023 (On December 12th (Tuesday) afternoon, the Public Lectures (in Japanese) will be held as part of the International Symposium)
Science Council of Japan, Roppongi, Minato-ku, Tokyo (Hybrid format: In-person sessions at the SCJ 2F Conference Room and online streaming)
(Various information: session list, program, venue, side events, accommodations, registration, abstract submission, circulars, posters,etc.)
Registration and Abstract Submission (link available on the website above):
- Registration & Abstract submission open: 1 June 2023
- Fixing the speakers & program of the oral sessions: 31 August 2023
- Abstract submission deadline: 30 September 2023
- Programme booklet online: 1 November 2023
- Registration deadline: 30 November 2023
- Symposium date: 11-15 December 2023