Frequently Asked Questions (FAQ)

Encouragement of Scientists and JSPS Research Fellowships, which do not require an e-Rad researcher number, can now be used by assigning a dummy researcher number. However, dummy IDs will not be linked with researchmap. If you have an e-Rad researcher number or a researchmap ID, please register via the link below so that future data linkage with e-Rad data, publication data, and other datasets will be possible.

Currently, synchronization occurs once per day. Since it is inconvenient to wait until the day after entering data, we are continuing to review the synchronization frequency.

Yes. Data entered into the Tohoku University Research Data Management App is not reflected in the KAKENHI electronic application system, so you may freely practice entering data as needed.

Proxy input functionality is not available.

Since DMPs are managed centrally, principal investigators and co-investigators reference the same data. The principal investigator can edit all co-investigators' DMPs, while co-investigators can only edit the DMPs they themselves created. Data created or modified in the Tohoku University Research Data Management App (DMPs and metadata for underlying data) can be edited at any time.

A DMP (Data Management Plan) is a research data management plan. It describes plans for the collection, storage, sharing, and publication of research data, and is created to ensure transparency and reproducibility of research.

According to the "Tohoku University Research Data Management and Publication Policy," research data is to be managed by the researchers themselves. Therefore, in principle, please enter the personal information of the "researcher who collected or generated the research data" in the "Research Data Management Department / Manager" field. If there is a dedicated department responsible for data management, its name may also be entered.

Reference: Tohoku University Research Data Management and Publication Policy (Principle) 2. The university recognizes that, in principle, researchers who collected or generated research data have both the right and responsibility to manage that research data.

Policy Explanation: In order to promote free and diverse research at the university and to facilitate the creation of better research outcomes, it is desirable to respect the judgment of the researchers who use the data regarding data management methods and publication decisions. Therefore, unless otherwise specified, the policy explicitly states that researchers have the right to manage their data.

Please provide the DOI or URL of that Supplementary Information.

It refers to "research data that is required and expected to be published for the purpose of ensuring transparency and reproducibility, as specified in the author guidelines, publication regulations, etc. of the publishing electronic journal."

Code used to generate computational results is also considered subject to management.

An institutional repository is an internet-based archive system for collecting and widely disseminating research outputs from universities and research institutions. Tohoku University's institutional repository "TOUR" uses NII RDC (NII Research Data Cloud), and by publishing papers through it, they automatically become searchable in databases such as CiNii Research.

Open Access is a system that enables anyone to freely access and read scholarly articles and research outputs at no cost. It aims to allow all people, including researchers, educators, policymakers, and the general public, to freely access academic information via the internet.

Repositories such as Figshare are acceptable.

The Tohoku University Research Data Management App does not have a function to upload research data itself.

For uploading research data that is planned to be made public, please use the university's data lake "IZUMI."

When using the data lake "IZUMI," faculty members can use it without application. The standard capacity for individual data storage is 100 GB. If you wish to exceed this, please submit a "Data Storage Expansion Request." If a group folder is needed for collaborative research, separate from individual data storage, please submit a "Group Use Application." The standard capacity for group data storage is 100 GB. If you wish to exceed this, please submit a "Group Data Expansion Request." When using Nextcloud, the maximum upload size per file is approximately 600 GB. For files larger than this, processing such as S3 mounting before uploading is required. There are no restrictions on file formats.

If you wish to make data uploaded to "IZUMI" publicly available, please create a public link (issue a URL) on Nextcloud and submit a "Permanent Publication Request." Based on the request, the data will be moved from the personal area to a permanent public area, and the issued URL will be maintained for continued publication (the original data in the personal area will be deleted). The URL will be maintained even if the applicant is no longer a member of the university.

GakuNin RDM can also be used as a storage for uploading research data. Faculty members can use it without application. The default institutional storage available is 100 GB per account, and can be expanded upon request. When using this service, the maximum upload size per file is approximately 5 GB. There are no restrictions on file formats.

Additionally, DOIs can be assigned to data that has been uploaded to "IZUMI" and made permanently public. If needed for journal peer review or KAKENHI report entries, please apply using the form below.

IZUMI is Tohoku University's research data lake, a platform for securely storing, managing, and sharing large-scale research data. It is operated as a research data infrastructure that accelerates research DX in the AI for Science era.

Not all data is required to be made public. Please choose between public, shared, or non-public based on each research group's open-and-closed strategy.

NII RDC is a research data infrastructure developed and operated by the National Institute of Informatics (NII) to promote open science. Development began in 2017, and full-scale operation started in 2021. It consists of three platforms: the "Management Platform (GakuNin RDM)," the "Publication Platform (WEKO3)," and the "Search Platform (CiNii Research)," promoting efficient utilization of research data.

For registration and updates of the Researcher ID Master File, please refer to the following.