Dr. Toshiyuki Hiraki1, Dr. Miho Funamori1, Dr. Shigetoshi Yokoyama1, Dr. Yusuke Komiyama1, Dr. Mikiko Tanifuji1, Prof. Dr. Kazutsuna Yamaji1
1National Institute of Informatics, Chiyoda-ku, Japan
Biography:
Toshiyuki Nishiyama Hiraki (https://orcid.org/0000-0001-6712-6335) received his Ph.D. degree in Science from Kyoto University, Japan, in 2020. He is a postdoctoral researcher for the Research Center for Open Science and Data Platform (RCOS) at the National Institute of Informatics (NII). He studies and develops functions for research data governance so that people can make new collaborations and discover knowledge on NII Research Data Cloud (RDC). He has previously worked for RIKEN SPring-8 Center and developed a computing system handling big data collected in SPring-8.
Abstract:
Research data is gaining importance under the promotion of open science. Researchers and institutions must manage research data not only for research purposes but also for research integrity and compliance. Our team aims to strengthen institutional research data governance by using data management plans (DMPs) and data management records (DMRs) along the researchers’ research workflow. Miho Funamori’s presentation examined the feasibility of using DMPs and DMRs for institutional research data governance by embedding this idea in an institutional data policy. It found that some tools are needed to assist researchers in setting up DMPs and collecting DMRs, although the abovementioned idea is theoretically feasible. This study designs a data governance (DG) function to facilitate researchers’ data management along their DMP and maintain consistency between the DMP and DMRs.
The DG function works as follows. At the beginning of a project, the DG function assists researchers in creating a DMP by automatically setting certain DMP items based on the data's nature and the institutional data policy. The DG function prompts actions for researchers to manage research data along the DMP during research activities. Actions related to the DMP are recorded as DMRs. The DG function continuously monitors the consistency between the DMP and DMRs and prompts actions to resolve their discrepancies. Different actions must be monitored for respective DMP items, so we are designing the DG function to run this cycle for each DMP item.
Those interested in institutional research data governance, DMPs, and relevant system development should attend this presentation.