dalia_dif 0.0.20
Tools for DALIA's data model for open educational resources
Requires Python: >=3.10
Keywords: snekpack, cookiecutter, open educational resources, educational resources, training

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<h1 align="center">
  DALIA Interaction Format (DIF)
</h1>

<p align="center">
    <a href="https://github.com/data-literacy-alliance/dalia-dif/actions/workflows/tests.yml">
        <img alt="Tests" src="https://github.com/data-literacy-alliance/dalia-dif/actions/workflows/tests.yml/badge.svg" /></a>
    <a href="https://pypi.org/project/dalia_dif">
        <img alt="PyPI" src="https://img.shields.io/pypi/v/dalia_dif" /></a>
    <a href="https://pypi.org/project/dalia_dif">
        <img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/dalia_dif" /></a>
    <a href="https://github.com/data-literacy-alliance/dalia-dif/blob/main/LICENSE">
        <img alt="PyPI - License" src="https://img.shields.io/pypi/l/dalia_dif" /></a>
    <a href='https://dalia_dif.readthedocs.io/en/latest/?badge=latest'>
        <img src='https://readthedocs.org/projects/dalia_dif/badge/?version=latest' alt='Documentation Status' /></a>
    <a href="https://codecov.io/gh/data-literacy-alliance/dalia-dif/branch/main">
        <img src="https://codecov.io/gh/data-literacy-alliance/dalia-dif/branch/main/graph/badge.svg" alt="Codecov status" /></a>  
    <a href="https://github.com/cthoyt/cookiecutter-python-package">
        <img alt="Cookiecutter template from @cthoyt" src="https://img.shields.io/badge/Cookiecutter-snekpack-blue" /></a>
    <a href="https://github.com/astral-sh/ruff">
        <img src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json" alt="Ruff" style="max-width:100%;"></a>
    <a href="https://github.com/data-literacy-alliance/dalia-dif/blob/main/.github/CODE_OF_CONDUCT.md">
        <img src="https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg" alt="Contributor Covenant"/></a>
    <a href="https://doi.org/10.5281/zenodo.17532540">
        <img src="https://zenodo.org/badge/DOI/10.5281/zenodo.17532540.svg" alt="DOI"></a>
</p>

The DALIA Interaction Format (DIF) v1.3 is the data model and CSV-based input
format for open educational resources (OERs) in the DALIA OER platform.

This repository contains an implementation of the data model in Pydantic, a
workflow for serializing to RDF based on
[pydantic-metamodel](https://github.com/cthoyt/pydantic-metamodel), a CSV
reader, and a command line validator.

A tutorial/guide for curating OERs in a tabular form (CSV) can be found
[here](docs/curation.md).

```mermaid
graph LR
    er[Educational Resource] -- "supported by (0..*)" --> community[Community]
    er -- "recommended by by (0..*)" --> community
    er -- "has author (1..*)" --> author[Author]
    er -- "has discipline (0..*)" --> discipline[Discipline]
    er -- "type (1)" --> lrt[Learning Resource Type]
    er -- "has media type (0..*)" --> mediatype[Media Type]
    er -- "has target group (0..*)" --> tg[Target Group]
    er -- "requires (0..*)" --> pl[Proficiency Level]
```

## 💪 Getting Started

The `dalia_dif` command line tool can be used from the console with to validate
CSV files (both local and remote).

```console
$ dalia_dif validate https://raw.githubusercontent.com/NFDI4BIOIMAGE/training/refs/heads/main/docs/export/DALIA_training_materials.csv
```

Serialize to RDF with `dalia_dif convert`. It guesses the format based on the
file extension, right now `.ttl` and `.jsonl` are supported.

```console
$ dalia_dif convert -o output.ttl https://raw.githubusercontent.com/NFDI4BIOIMAGE/training/refs/heads/main/docs/export/DALIA_training_materials.csv
```

```console
$ dalia_dif convert -o output.jsonl https://raw.githubusercontent.com/NFDI4BIOIMAGE/training/refs/heads/main/docs/export/DALIA_training_materials.csv
```

Using the data model:

```python
from pydantic_metamodel.api import PredicateObject

from dalia_dif.dif13.model import AuthorDIF13, EducationalResourceDIF13, OrganizationDIF13
from dalia_dif.dif13.picklists import (
    MEDIA_TYPES,
    PROFICIENCY_LEVELS,
    RELATED_WORKS_RELATIONS,
    TARGET_GROUPS,
    LEARNING_RESOURCE_TYPES,
)
from dalia_dif.namespace import DALIA_COMMUNITY, HSFS

resource = EducationalResourceDIF13(
    uuid="b37ddf6e-f136-4230-8418-faf18c4c34d2",
    title="Chemotion ELN Instruction Videos",
    description="Chemotion ELN Instruction Videos Chemotion[1] is an open source "
                "system for storing and managing experiments and molecular data in "
                "chemistry and its related sciences.",
    links=["https://doi.org/10.5281/zenodo.7634481"],
    authors=[
        AuthorDIF13(given_name="Fabian", family_name="Fink", orcid="0000-0002-1863-2087"),
        AuthorDIF13(given_name="Salim", family_name="Benjamaa", orcid="0000-0001-6215-6834"),
        AuthorDIF13(given_name="Nicole", family_name="Parks", orcid="0000-0002-6243-2840"),
        AuthorDIF13(
            given_name="Alexander", family_name="Hoffmann", orcid="0000-0002-9647-8839"
        ),
        AuthorDIF13(
            given_name="Sonja", family_name="Herres-Pawlis", orcid="0000-0002-4354-4353"
        ),
    ],
    license="https://creativecommons.org/licenses/by/4.0",
    supporting_communities=[],
    recommending_communities=[
        DALIA_COMMUNITY["bead62a8-c3c2-46d6-9eb1-ffeaba38d5bf"],  # NFDI4Chem
    ],
    disciplines=[
        HSFS["n40"],  # chemistry
    ],
    file_formats=[
        ".mp4",
    ],
    keywords=["research data management", "NFDI", "RDM", "FDM", "NFDI4Chem", "Chemotion"],
    languages=["eng"],
    learning_resource_types=[
        LEARNING_RESOURCE_TYPES["tutorial"],
    ],
    media_types=[
        MEDIA_TYPES["video"],
    ],
    proficiency_levels=[
        PROFICIENCY_LEVELS["novice"],
    ],
    publication_date="2023-02-13",
    target_groups=[
        TARGET_GROUPS["student (ba)"],
    ],
    related_works=[
        PredicateObject(
            predicate=RELATED_WORKS_RELATIONS["isTranslationOf"],
            object="https://id.dalia.education/learning-resource/20be255e-e2da-4f9c-90b3-5573d6a12619",
        )
    ],
    file_size="703.2 MB",
    version=None,
)
turtle_str = resource.model_dump_turtle()
```

## 🚀 Installation

The most recent release can be installed from
[PyPI](https://pypi.org/project/dalia_dif/) with uv:

```console
$ uv pip install dalia_dif
```

or with pip:

```console
$ python3 -m pip install dalia_dif
```

The most recent code and data can be installed directly from GitHub with uv:

```console
$ uv pip install git+https://github.com/data-literacy-alliance/dalia-dif.git
```

or with pip:

```console
$ python3 -m pip install git+https://github.com/data-literacy-alliance/dalia-dif.git
```

## 👐 Contributing

Contributions, whether filing an issue, making a pull request, or forking, are
appreciated. See
[CONTRIBUTING.md](https://github.com/data-literacy-alliance/dalia-dif/blob/master/.github/CONTRIBUTING.md)
for more information on getting involved.

## 👋 Attribution

### ⚖️ License

The code in this package is licensed under the MIT License.

### 📖 Citation

An abstract describing the DIF has been published in the proceedings of the
2<sup>nd</sup> Conference on Research Data Infrastructure (CoRDI).

```bibtex
@misc{steiner2025,
    author = {Steiner, Petra C. and Geiger, Jonathan D. and Fuhrmans, Marc and Amer Desouki, Abdelmoneim and Hüppe, Henrika M.},
    title = {The Revised DALIA Interchange Format - New Picklists for Describing Open Educational Resources},
    month = aug,
    year = 2025,
    publisher = {Zenodo},
    doi = {10.5281/zenodo.16736170},
    url = {https://doi.org/10.5281/zenodo.16736170},
}
```

### 🎁 Support

This project has been supported by the following organizations (in alphabetical
order):

- [NFDI4Chem](https://www.nfdi4chem.de)
- [NFDI4Culture](https://nfdi4culture.de)
- [NFDI4Ing](https://nfdi4ing.de)

### 💰 Funding

This project has been supported by the following grants:

| Funding Body                                                       | Program | Grant Number |
| ------------------------------------------------------------------ | ------- | ------------ |
| German Federal Ministry of Research, Technology, and Space (BMFTR) |         | 16DWWQP07    |
| EU Capacity Building and Resilience Facility                       |         | 16DWWQP07    |

### 🍪 Cookiecutter

This package was created with
[@audreyfeldroy](https://github.com/audreyfeldroy)'s
[cookiecutter](https://github.com/cookiecutter/cookiecutter) package using
[@cthoyt](https://github.com/cthoyt)'s
[cookiecutter-snekpack](https://github.com/cthoyt/cookiecutter-snekpack)
template.

## 🛠️ For Developers

<details>
  <summary>See developer instructions</summary>

The final section of the README is for if you want to get involved by making a
code contribution.

### Development Installation

To install in development mode, use the following:

```console
$ git clone git+https://github.com/data-literacy-alliance/dalia-dif.git
$ cd dalia-dif
$ uv pip install -e .
```

Alternatively, install using pip:

```console
$ python3 -m pip install -e .
```

### 🥼 Testing

After cloning the repository and installing `tox` with
`uv tool install tox --with tox-uv` or `python3 -m pip install tox tox-uv`, the
unit tests in the `tests/` folder can be run reproducibly with:

```console
$ tox -e py
```

Additionally, these tests are automatically re-run with each commit in a
[GitHub Action](https://github.com/data-literacy-alliance/dalia-dif/actions?query=workflow%3ATests).

### 📖 Building the Documentation

The documentation can be built locally using the following:

```console
$ git clone git+https://github.com/data-literacy-alliance/dalia-dif.git
$ cd dalia-dif
$ tox -e docs
$ open docs/build/html/index.html
```

The documentation automatically installs the package as well as the `docs` extra
specified in the [`pyproject.toml`](pyproject.toml). `sphinx` plugins like
`texext` can be added there. Additionally, they need to be added to the
`extensions` list in [`docs/source/conf.py`](docs/source/conf.py).

The documentation can be deployed to [ReadTheDocs](https://readthedocs.io) using
[this guide](https://docs.readthedocs.io/en/stable/intro/import-guide.html). The
[`.readthedocs.yml`](.readthedocs.yml) YAML file contains all the configuration
you'll need. You can also set up continuous integration on GitHub to check not
only that Sphinx can build the documentation in an isolated environment (i.e.,
with `tox -e docs-test`) but also that
[ReadTheDocs can build it too](https://docs.readthedocs.io/en/stable/pull-requests.html).

</details>

## 🧑‍💻 For Maintainers

<details>
  <summary>See maintainer instructions</summary>

### Initial Configuration

#### Configuring ReadTheDocs

[ReadTheDocs](https://readthedocs.org) is an external documentation hosting
service that integrates with GitHub's CI/CD. Do the following for each
repository:

1. Log in to ReadTheDocs with your GitHub account to install the integration at
   https://readthedocs.org/accounts/login/?next=/dashboard/
2. Import your project by navigating to https://readthedocs.org/dashboard/import
   then clicking the plus icon next to your repository
3. You can rename the repository on the next screen using a more stylized name
   (i.e., with spaces and capital letters)
4. Click next, and you're good to go!

#### Configuring Archival on Zenodo

[Zenodo](https://zenodo.org) is a long-term archival system that assigns a DOI
to each release of your package. Do the following for each repository:

1. Log in to Zenodo via GitHub with this link:
   https://zenodo.org/oauth/login/github/?next=%2F. This brings you to a page
   that lists all of your organizations and asks you to approve installing the
   Zenodo app on GitHub. Click "grant" next to any organizations you want to
   enable the integration for, then click the big green "approve" button. This
   step only needs to be done once.
2. Navigate to https://zenodo.org/account/settings/github/, which lists all of
   your GitHub repositories (both in your username and any organizations you
   enabled). Click the on/off toggle for any relevant repositories. When you
   make a new repository, you'll have to come back to this

After these steps, you're ready to go! After you make "release" on GitHub (steps
for this are below), you can navigate to
https://zenodo.org/account/settings/github/repository/data-literacy-alliance/dalia-dif
to see the DOI for the release and link to the Zenodo record for it.

#### Registering with the Python Package Index (PyPI)

The [Python Package Index (PyPI)](https://pypi.org) hosts packages so they can
be easily installed with `pip`, `uv`, and equivalent tools.

1. Register for an account [here](https://pypi.org/account/register)
2. Navigate to https://pypi.org/manage/account and make sure you have verified
   your email address. A verification email might not have been sent by default,
   so you might have to click the "options" dropdown next to your address to get
   to the "re-send verification email" button
3. 2-Factor authentication is required for PyPI since the end of 2023 (see this
   [blog post from PyPI](https://blog.pypi.org/posts/2023-05-25-securing-pypi-with-2fa/)).
   This means you have to first issue account recovery codes, then set up
   2-factor authentication
4. Issue an API token from https://pypi.org/manage/account/token

This only needs to be done once per developer.

#### Configuring your machine's connection to PyPI

This needs to be done once per machine.

```console
$ uv tool install keyring
$ keyring set https://upload.pypi.org/legacy/ __token__
$ keyring set https://test.pypi.org/legacy/ __token__
```

Note that this deprecates previous workflows using `.pypirc`.

### 📦 Making a Release

#### Uploading to PyPI

After installing the package in development mode and installing `tox` with
`uv tool install tox --with tox-uv` or `python3 -m pip install tox tox-uv`, run
the following from the console:

```console
$ tox -e finish
```

This script does the following:

1. Uses [bump-my-version](https://github.com/callowayproject/bump-my-version) to
   switch the version number in the `pyproject.toml`, `CITATION.cff`,
   `src/dalia_dif/version.py`, and [`docs/source/conf.py`](docs/source/conf.py)
   to not have the `-dev` suffix
2. Packages the code in both a tar archive and a wheel using
   [`uv build`](https://docs.astral.sh/uv/guides/publish/#building-your-package)
3. Uploads to PyPI using
   [`uv publish`](https://docs.astral.sh/uv/guides/publish/#publishing-your-package).
4. Push to GitHub. You'll need to make a release going with the commit where the
   version was bumped.
5. Bump the version to the next patch. If you made big changes and want to bump
   the version by minor, you can use `tox -e bumpversion -- minor` after.

#### Releasing on GitHub

1. Navigate to https://github.com/data-literacy-alliance/dalia-dif/releases/new
   to draft a new release
2. Click the "Choose a Tag" dropdown and select the tag corresponding to the
   release you just made
3. Click the "Generate Release Notes" button to get a quick outline of recent
   changes. Modify the title and description as you see fit
4. Click the big green "Publish Release" button

This will trigger Zenodo to assign a DOI to your release as well.

### Updating Package Boilerplate

This project uses `cruft` to keep boilerplate (i.e., configuration, contribution
guidelines, documentation configuration) up-to-date with the upstream
cookiecutter package. Install cruft with either `uv tool install cruft` or
`python3 -m pip install cruft` then run:

```console
$ cruft update
```

More info on Cruft's update command is available
[here](https://github.com/cruft/cruft?tab=readme-ov-file#updating-a-project).

</details>