RDMO - Research Data Management Organiser
RDMO is a tool to support the systematic planning, organisation and implementation of the data management throughout the course of a research project. RDMO is funded by the Deutsche Forschungsgemeinschaft (DFG).
- Home Page
- https://rdmorganiser.github.io
- Source code
- https://github.com/rdmorganiser/rdmo
- Documentation
- https://rdmo.readthedocs.io
- Mailing list
- https://www.listserv.dfn.de/sympa/subscribe/rdmo
- Matrix
- https://matrix.to/#/#rdmo:matrix.org
- Demo
- https://rdmo.aip.de
If you encounter any problems or bugs with the RDMO Software, or if you want to request a feature, please file an issue here: https://github.com/rdmorganiser/rdmo/issues. For problems or suggestions with questionnaires, the RDMO domain model or other content, please use the issues in the rdmo-catalog repository: https://github.com/rdmorganiser/rdmo-catalog/issues. In order to file issues, you will need a GitHub account.
3 maintainers
Metadata
3 maintainers
Release files for rdmo 2.5.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rdmo-2.5.2.tar.gz | 3.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rdmo-2.5.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.6 MB
Release files / rdmo-2.5.2.tar.gz
| Download URL | rdmo-2.5.2.tar.gz |
|---|---|
| Size | 3.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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Transparency logRelease files / rdmo-2.5.2-py3-none-any.whl
| Download URL | rdmo-2.5.2-py3-none-any.whl |
|---|---|
| Size | 4.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 6, 2026.
Transparency log
