NEWS

The software upgrade process for QRDM has been completed.

From now on, QRDM can be used as usual. We apologize for any inconvenience.

Division of Research Data Service, Data-Driven Innovation Initiative and Kyushu University Library, Library Office for DX Services released an English version of learning material on research data management.

Learning Material “Let Us Start Research Data Management”

This material is intended for graduate students and researchers who want to learn about basics of research data management, as well as for staff who support research data management.

You are free to share or adapt it.

We welcome any feedback to make it better.

cf) Related Materials

• Learning Material “Let Us Start Research Data Management” Japanese version (PDF & PPTX)
• First Time Research Data Management: From Everyday Life in the Lab (Video)
  • Japanese version
  • English version

New learning material “First Time Research Data Management: From Everyday Life in the Lab” is now available.

It explains why proper research data management is necessary and what is expected to researchers, with examples and tips in a laboratory setting. Japanese version is also available.

First Time Research Data Management: From Everyday Life in the Lab

We welcome any feedback to make it better.

cf. Workshops & Learning Materials : Research Data Service

The QRDM system will be available as usual during the year-end and New Year holidays (December 29, 2023 – January 3, 2024).

Please note that inquiries and system troubles will be handled on or after January 4.

For inquiries, please contact us.

Kyushu University Research Data Management System “QRDM” is now accessible, providing a secure platform for the storage and collaborative sharing of research data.
We encourage you to make use of this valuable system to enhance your research endeavors.

QRDM Features

• Users：Faculty members of Kyushu University
• Storage Capacity：Currently, each faculty member can utilize up to 2 TB of storage space.
• File sharing：
  • The file-sharing feature facilitates collaborative data management with students and other collaborators.
  • It can be connected and used as an expansion storage for GakuNin RDM.

For additional details, please refer to here.
Thank you for considering QRDM for your research data storage needs.

Division of Research Data Service, Data-Driven Innovation Initiative released learning materials on research data management.

Let Us Start Research Data Management (Japanese version only)

This material is intended for graduate students and researchers who want to learn about basics of research data management, as well as for staff who support research data management.

You are free to share or adapt it.

We welcome any feedback to make it better.

Kyushu University has participated in the demonstration experiment of the GakuNin RDM data analysis function by National Institute of Informatics, and a trial version of the function is now available. You can build an online analysis environment to develop and run Python and R programs with this service.

You need to login to GakuNin RDM and create a project in advance.

• Login to GakuNin RDM
• User Manual for data analysis function
• Usage guide for GakuNin RDM on this site

Please observe the following rules when using this service.

“Data Analysis Function matters to be observed” (Japanese version only)

Contact Us

• Division of Research Data Service, Kyushu University
• Library Office for DX Services, Kyushu University Library

Contact Form

We are pleased to announce the release of our Research Data Service website.

This website will provide a variety of support for research data management. You will find what researchers should do about research data management and what kind of support is available in Kyushu University. Please check this website when you would like to learn more about how to handle research data or if you have any questions or concerns about your research data.

We are planning to add contents of this web site. If you have any practical examples of research data management and disclosure, or information you would like to add or share, you are very welcomed.