Research Data Governance Functions of NII Research Data Cloud
Toshiyuki Hiraki1, Shigetoshi Yokoyama1, Yusuke Komiyama1, Mikiko Tanifuji1, Kazutsuna Yamaji1 1National Institute of Informatics, Chiyoda-ku, Tokyo, Japan
Abstract
Research Data Management (RDM) has been more and more important in terms of the promotion of open science and emphasis on research integrity. Adherence to the Data Management Plan (DMP) created by researchers and the RDM policy formulated by the research institute – here we call this activity “research data governance” – will ensure efficient research activity and research integrity. However, the conduct of DMP-guided RDM depends on the researchers’ discretion. In some cases, researchers or their research group/community may put specific constraints on their RDM – here we call these constraints “α” – that are not described in DMPs. In addition, the verification of the consistency among the policy, the DMP, and the state of RDM could impose a burden on researchers and institutions alike.
In this presentation, we introduce a semi-automated approach that creates a suitable RDM environment based on a DMP and constraints α. We have been developing data governance functions on the National Institute of Informatics Research Data Cloud: “Research Flow” and “Monitoring”. These functions aim to facilitate researchers in practicing data governance. A Research Flow is generated based on a machine-actionable DMP (maDMP) converted from DMP and α. This workflow offers a reproducible procedure for the whole RDM in accordance with DMP and α. Monitoring enables researchers to verify the consistency between DMP and α and the state of RDM continuously. These functions will mechanically support the DMP-guided RDM and ensure the quality of RDM.
Biography
Toshiyuki Nishiyama Hiraki (https://orcid.org/0000-0001-6712-6335) currently works as a project researcher at 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).