Industries and the General Public

Industries and the general public can access various academic resources (e.g., research publications, data, etc.) produced in Japan through the NII Research Data Cloud. The diverse research topics at Japanese academic institutions are sure to provide useful insights for industrial and social needs as well. It is expected that researchers and frontline needs will become connected via the NII Research Data Cloud, thereby leading to new developments in solving local problems and industrial innovations.

It is the responsibility of the country Japan to make the outputs of the nation's publicly-funded research available to the public. The country is also responsible for providing a secure base for academic resources produced within the country in order to ensure that these do not become scattered over time. The NII Research Data Cloud will provide a base where academic resources produced within the country are securely stored and preserved over the long term. It will also make Japanese academic resources available to the public, thereby showcasing Japanese research to interested parties within and outside Japan.

GakuNin RDM enables research data to be quickly managed and shared by multiple researchers across organizations. Thus, in addition to being used for individual research activities, it can serve as a hub for joint research, and used flexibly for research projects of various sizes and fields. Moreover, it is highly scalable and can be linked with cloud storage and external tools that are often used by researchers.

WEKO3 manages and publishes the research outputs of academic institutions in units of items. The item type represents the metadata of the item and can be flexibly customized by the user institution. By mapping the customized item type to a specific XML schema, metadata output using the XML schema is possible.

In order to develop and execute a program, an execution environment including hardware and middleware must be properly provisioned, which is a difficult task for many researchers. With the NII RDC Computational Services, the execution environment can be packaged and stored in GakuNin RDM, and collaborators and/or students can rebuild the same execution environment with a single click.

In a class or seminar where many students or participants are required to practice programming, it takes a lot of effort to set up a programming environment on each individual computer. With NII RDC Computational Services, there is no need to install any software on the student's computer. The student can recreate the instructor's programming environment in the cloud with a single click and start using Jupyter Notebook and RStudio immediately.

In the "Design and Practice of Research Data Management Services" course, you will learn what you need to know to support research data management. Research data has a lifecycle: how it is generated, stored, and finally reused. In this course, you will learn about service design, pre-research support, in-research support, post-research support, and day-to-day support in a way that follows the research data lifecycle.

In "Research Data Management for Researchers," researchers at universities and research institutions can learn the knowledge required for each situation in research data management. The textbook is divided into thematic sections to provide the necessary expertise efficiently.

GakuNin LMS allows the person in charge of the institution to view students' enrollment status at each institution based on their login information linked to GakuNin Federation. This supports systematic course management by the person in charge of the institution and provides primary data for efficient provision and evaluation of course materials according to the students' attributes.

There are some contents of research data that are not desirable to share through public disclosure. In medicine and social sciences, from the perspective of protecting human research subjects' privacy, research data is not made available for anyone to access, but only to users who meet the conditions. This type of research content provision is called restricted access, and more than 40% of the world's research data repositories support this type of content provision.