Skip to main content

JSON schema files defining the MEx metadata model.

Project description

MEx model

JSON schema files defining the MEx metadata model.

cookiecutter cve-scan documentation linting open-code

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 FAIR[^1] 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.

[^1]: FAIR is referencing the so-called FAIR data principles – guidelines to make data Findable, Accessible, Interoperable and Reusable.

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 python3.11 on your system
  • on unix, run make install
  • on windows, run .\mex.bat install

Linting

  • run all linters with make lint or .\mex.bat lint

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 pdm update-all
  • update github actions in .github/workflows/*.yml manually

Creating release

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mex_model-4.4.0.tar.gz (55.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mex_model-4.4.0-py3-none-any.whl (85.2 kB view details)

Uploaded Python 3

File details

Details for the file mex_model-4.4.0.tar.gz.

File metadata

  • Download URL: mex_model-4.4.0.tar.gz
  • Upload date:
  • Size: 55.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for mex_model-4.4.0.tar.gz
Algorithm Hash digest
SHA256 8cebfc9c000b73cc1fc73867724ac9cd48e1feb82bb849c1d1688417b5aa1ed9
MD5 7224696d9adcc4de33fc7bb018d96559
BLAKE2b-256 781cf66440e0dc471b7dfefc8178966776eb5c44041fa5962b2664f22be76d89

See more details on using hashes here.

Provenance

The following attestation bundles were made for mex_model-4.4.0.tar.gz:

Publisher: release.yml on robert-koch-institut/mex-model

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mex_model-4.4.0-py3-none-any.whl.

File metadata

  • Download URL: mex_model-4.4.0-py3-none-any.whl
  • Upload date:
  • Size: 85.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for mex_model-4.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0319de6cd3d0aaf2919d86b548e8ac3c488b488caa525fa34cf87a76ce8763ad
MD5 8de3cd408d99c20d62c9cdc4fe0dfd7c
BLAKE2b-256 50066935b90f0811f1326565d8c4f2bae249ae5cc8031256fb3bdbacf81c25e4

See more details on using hashes here.

Provenance

The following attestation bundles were made for mex_model-4.4.0-py3-none-any.whl:

Publisher: release.yml on robert-koch-institut/mex-model

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page