Centralize your research team’s
data management.
GakuNin RDM solves the challenges of leading a research team.
News
See all-
2024.11.11 16:13
Maintenance
GakuNin RDM connection will be unstable due to the EKS version update (November 20, 2024)
Due to the EKS version update, GakuNin RDM connection will be unstable for about an hour during the following times.
If you cannot connect, please wait a while and try again.- ■ Date and time
- ・November 20, 2024 (Wed.) 11:00-14:00
-
2024.10.22 10:57
Maintenance
Timestamp services will be restricted (10/23, 10/24, 10/31)
GakuNin RDM timestamp services will be restricted due to maintenance of the timestamp service in the following time periods.
■ Date and time [JST]
・October 23, 00:00 - 06:00
・October 24, 00:00 - 06:00
・October 31, 00:30 - 02:30During maintenance, timestamp generation may fail.
If timestamp generation or verification fails, please try again to generate or verify the timestamp. -
2024.10.01 13:07
Maintenance
Timestamp services will be restricted (10/3, 10/6)
GakuNin RDM timestamp services will be restricted due to maintenance of the timestamp service in the following time periods.
■ Date and time [JST]
・October 3, 00:00 - 06:00
・October 6, 09:00 - 17:00During maintenance, timestamp generation may fail.
If timestamp generation or verification fails, please try again to generate or verify the timestamp.
What
you can do with
GakuNin RDM- Project/
member management - Storage connection
- Timestamping
- Web service integration
- Data analysis
- Data publication
Benefits of using GakuNin RDM
For management
- Distribute institutional storage to researchers
- Consolidate storage to reduce costs and increase visibility
- Implement data management plan
- Promote research integrity
For researchers and lecturers
- Manage various data in one place
- Assign appropriate access rights for each member
- Share data with collaborators and students
- Comply with institution’s data management policies
For students
- Share research materials with professors and teammates
- Save papers and experimental data in a reliable storage
- Recover important data that has been accidentally overwritten
- Run an analysis program created by a senior