Skip to main content

MEx model

JSON schema files defining the MEx metadata model.

cookiecutter cve-scan documentation linting opencode testing

Project

The Metadata Exchange (MEx) project is committed to improve the retrieval of RKI research data and projects. How? By focusing on metadata: instead of providing the actual research data directly, the MEx metadata catalog captures descriptive information about research data and activities. On this basis, we want to make the data FAIR1 so that it can be shared with others.

Via MEx, metadata will be made findable, accessible and shareable, as well as available for further research. The goal is to get an overview of what research data is available, understand its context, and know what needs to be considered for subsequent use.

RKI cooperated with D4L data4life gGmbH for a pilot phase where the vision of a FAIR metadata catalog was explored and concepts and prototypes were developed. The partnership has ended with the successful conclusion of the pilot phase.

After an internal launch, the metadata will also be made publicly available and thus be available to external researchers as well as the interested (professional) public to find research data from the RKI.

For further details, please consult our project page.

Contact
For more information, please feel free to email us at mex@rki.de.

Publisher

Robert Koch-Institut
Nordufer 20
13353 Berlin
Germany

Package

Our metadata model is represented as JSON schema in mex/model. There, we defined 1. entities, described by their properties, 2. fields, small objects, that are used as $ref for certain properties, 3. an extension, which contains additional properties, that are not in scope of the JSON schema definition, 4. i18n files, that hold translations of the properties and are to be used in the context of user interfaces and 5. vocabularies, which are used in context of the entities. A more detailed description of the model's context can be found in /docs/index.rst.

License

This package is licensed under the MIT license. All other software components of the MEx project are open-sourced under the same license as well.

Development

Installation

  • install python on your system
  • on unix, run make install
  • on windows, run .\mex.bat install

Linting and testing

  • run all linters with make lint or .\mex.bat lint
  • run unit and integration tests with make test or .\mex.bat test
  • run just the unit tests with make unit or .\mex.bat unit

Updating dependencies

  • update boilerplate files with cruft update
  • update global requirements in requirements.txt manually
  • update git hooks with pre-commit autoupdate
  • update package dependencies using uv sync --upgrade
  • update github actions in .github/workflows/*.yml manually

Creating release

  • run mex release RULE to release a new version where RULE determines which part of the version to update and is one of major, minor, patch.

Python release verification

Python release artifacts (source distributions and wheels) published to GitHub Releases are signed keyless using sigstore.

To verify a release artifact manually, download the artifact (e.g. mex_model-<tag>-py3-none-any.whl) and its Sigstore bundle (mex_model-<tag>-py3-none-any.whl.sigstore.json), then run either:

Using sigstore:

sigstore verify identity \
  --bundle <path-to-bundle> \
  --cert-identity "https://github.com/robert-koch-institut/mex-model/.github/workflows/release.yml@refs/heads/main" \
  --cert-oidc-issuer "https://token.actions.githubusercontent.com" \
  <path-to-artifact>

Using cosign:

cosign verify-blob \
  --bundle <path-to-bundle> \
  --certificate-identity "https://github.com/robert-koch-institut/mex-model/.github/workflows/release.yml@refs/heads/main" \
  --certificate-oidc-issuer "https://token.actions.githubusercontent.com" \
  <path-to-artifact>
  1. FAIR is referencing the so-called FAIR data principles – guidelines to make data Findable, Accessible, Interoperable and Reusable. ↩

Metadata

Release files for mex-model 5.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mex-model 5.2.1
File Size Uploaded Provenance
mex_model-5.2.1.tar.gz 69.8 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for mex-model 5.2.1
File Interpreter ABI Platform
mex_model-5.2.1-py3-none-any.whl Python 3 none any Details

Total release size: 183.7 kB

Release files / mex_model-5.2.1.tar.gz

Download URL mex_model-5.2.1.tar.gz
Size 69.8 kB
Tags Source
SHA-256 checksum
How to use checksums
5a1047c73ee59ce96a79f26447ff9684671312c1ff97cae757220c0651f78a08
BLAKE2b-256 checksum
How to use checksums
5fff37e4000caf2f756711352305f3a693b171e72ab4d615c9d58f301b7609c1
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 20, 2026.

Transparency log

Release files / mex_model-5.2.1-py3-none-any.whl

Download URL mex_model-5.2.1-py3-none-any.whl
Size 113.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2752f0ce4f605a4c4172dd0def6e30ffe55d85965a279559fbdb1251b27235b6
BLAKE2b-256 checksum
How to use checksums
c1bb825b806540e9e1176ec298b82d5c16dbf34b387e44b9e50e8f826ec1f0bf
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 20, 2026.

Transparency log

Security for mex-model 5.2.1

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.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for mex_model-5.2.1.tar.gz

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 20, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page