Japan Geoscience Union Meeting 2022

Presentation information

[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI30] Open Science with FAIR Science Data Sharing and Management and e-Infrastructures

Tue. May 24, 2022 1:45 PM - 3:15 PM 201A (International Conference Hall, Makuhari Messe)

convener:Yasuhiro Murayama(NICT Knowldge Hub, National Institute of Information and Communications Technology), convener:Baptiste Cecconi(LESIA, Observatoire de Paris, CNRS, PSL Research University), Yasuhisa Kondo(Research Institute for Humanity and Nature), convener:Shelley Stall(American Geophysical Union), Chairperson:Yasuhisa Kondo(Research Institute for Humanity and Nature), Nobuko Miyairi(National Institute of Information and Communications Technology)

3:00 PM - 3:15 PM

[MGI30-06] Open team science as a mindset for open interdisciplinary collaboration

*Yasuhisa Kondo1 (1.Research Institute for Humanity and Nature)

Keywords:Interdisciplinarity, Transdisciplinarity, Open research mindset, Ethical equity

In recent years, increasing attention has been paid to the mindset of research experts and collaborators that accept the culture and thoughts of open science, but theoretical consideration remains to be explored. For instance, mistrust for data sharing and secondary use may disturb open data actions. To this end, this paper proposes the Open Team Science Method to develop issue-driven multi-actor research in an open environment. Case studies, including the community-based participatory action research to address environmental fluctuation in Lake Biwa, reveal the importance of careful considerations of (1) enabling ethical equity of participants, (2) keeping transparency of research process, (3) facilitating dialogue to build trust, and (4) transcending issues to share goals that actors with different thoughts and mindsets can tackle together. The promotion of the Open Team Science Method will contribute to developing an open mindset for collaborative research.