Storing, publishing, and archiving data
With ReSeeD, we provide a central research data repository for RUB.
With ReSeeD
, we offer you a self-service tool for storing, sharing, archiving, and publishing your data.
ReSeeD in use
The planned maintenance work has been completed. > The system is running as usual again.
FAIR and Open
The repository supports FAIR data principles and open science requirements, providing the research community with open access to valuable data.
Who can use this repository?
External researchers (e.g. from collaborative projects) can register via their ORCID and get permission to work on given datasets.
Free quota
In ReSeeD you have a free quota per user of 50 GB in draft (editing mode) and 250 GB in "Archive". There is no limit for openly published data. Shared access to data in ReSeeD is possible. Users can manage third-party access to datasets and files themselves.
Usage and help
Do you need help, advice or have questions about our repository and how to use it? Check our tutorial and contact us.
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No time to lose? Start straight away with using our repository.
Searching data
Would you like to view the published datasets in ReSeeD?
Testing ReSeeD
Would you like to try ReSeeD first?
Made for the entire research workflow
The repository can be integrated into the entire research workflow. You can use it for:
LINKING DATA
Create multiple datasets and link them to one another.
SHARED EDITING
Collaborate with other users to work together on your dataset.
DISTRIBUTING USER RIGHTS
Determine who receives which rights to your data records and assign respective roles.
LONG TERM STORAGE
Easily archive your data for at least 10 years.
PUBLISHING DATA
Publish your data and share it with the research community.
PERSISTENT REFERENCING
Receive a DOI for your published data and make it permanently referenceable.
Software & Metadata
We are developing this repository in collaboration with researchers to make sure it is fully attuned to their needs.
Metadata
In the repository, you can describe your data with metadata according to the DataCite schema.
Subject-specific
The integration of subject-specific metadata schemas, for example based on NFDI developments, is being planned.
INTERFACES
The system interfaces with its own S3-compatible storage.
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