Researchers can use the NII Research Data Cloud throughout their research activities. GakuNin RDM provides a platform that can be used to store and share various files with proper version and access control. It will also track file modifications automatically, thereby meeting the need for research transparency. Files are retained in the storage areas provided by the researcher's affiliated academic institution, thus preventing the data from being scattered.
Upon completion of a research project, researchers can easily copy files to the repository platform (WEKO3) in order to make the research publications and data openly available. WEKO3 provides both public and private spaces to facilitate secure storage of sensitive data. This allows researchers to comply with journal and funding agency requirements to provide evidence data to support their research publications, and the research itself. The discovery platform (CiNii Research) will inspire researchers to engage in new research, thereby enabling researchers to simultaneously recognize and acknowledge the stored research.
Change the Research Style of Researchers
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.
Improve the Visibility of Research Outputs
Published research outputs in WEKO3 are disseminated in human-readable formats on the Web and in a machine-readable format. For example, WEKO3 supports metadata provision protocol by OAI-PMH and ResourceSync. WEKO3 also supports sitemap and Google Scholar meta tag, and Open Graph Protocol for social services.
Access Control for Publishing Research Outputs
WEKO3 has a function to automatically publish research outputs on a specific date (embargo function). For example, WEKO3 allows setting the publication settings such as making the registered research outputs accessible only within a particular institution and, after one year, making it available to the public.
Manage Research Outputs in Customized Metadata Format and Publish Them in a Standard Metadata Format
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.
Discover Academic Information and Use It for Research
In recent years, the concept of open science has led to the reuse of research data, which is expected to advance research along new axes. An enormous amount of data is being generated in a short period, and data-driven research is producing results one after another. It is believed that creating an environment where more research data can be analyzed will contribute to the development of such studies.
Ensure the Reproducibility of a Research Outcome
In order to ensure the reliability of results published in papers, researchers are required to publish the data on which they base their findings. However, unless the programs used to process the data are also made available, other researchers will not be able to reproduce the results. With the NII RDC Computational Services, the program used for data processing and its execution environment can be packaged, linked to the paper and data, and publicated so that the results can be reproduced by anyone.
Share Data Processing Environment with Collaborators
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.
Learn as a Support Person
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.
Learn as a Researcher
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.
Promote and Manage the Learning of Students at the Institution.
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.
Maintain a Research Data Environment Easily
In order to manage, utilize, and publish research data, researchers should select appropriate software and storage according to their own research data management plan. They also need to comply with the data policies of their institutions and research funding agencies, which requires a great deal of knowledge, effort, and judgment on the part of researchers.
Publish Research Data in a Way that Increases Its Value for Use
In order to increase the value of using research data, it is necessary to process the data into an approriate form at that can be interpreted by researchers in other fields and citizens, and to give it rich metadata, based on international standards such as the FAIR Data Principles. On the other hand, in order to carry out such data curation, it is essential to have the cooperation of researchers and data curators who have specialized knowledge in data formulation (organizing data in accordance with some standards) and metadata assignment.
Use of Humanities and Social Sciences Research Data
For researchers to use research data in the humanities and social sciences, it is necessary to look up the institutions that publish research data and search for the research data that meets their needs in each institution's repository. As an environment for centrally exploring each institution's research data, we are developing Japan Data Catalog for the Humanities and Social Sciences (JDCat) on behalf of the Project for Promotion of the Construction of a Data Infrastructure for the Humanities and Social Sciences.
Provide Research Content Only to Users Who Meet the Requirements
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.