dcat-ap-plus 0.1.0rc3

LinkML-based DCAT-AP extension for dataset context: evaluated entities/activities and generation

dcat_ap_plus

Extension of the DCAT Application Profile (DCAT-AP) that adds links to use-case specific context. It enables describing:

• which entities or activities were evaluated (the dataset is about),
• which activity generated the dataset, including instruments, environment (e.g., lab), and plan,
• which qualitative and quantitative characteristics were attributed to evaluated entities/activities and used instruments.

This package ships the LinkML-generated Python datamodel for the schema. Two versions of the datamodel are provided: one using Python dataclasses and another using Pydantic.

Installation

pip install dcat_ap_plus

Requires Python >= 3.9, < 4.0.

Quick start

import dcat_ap_plus
print(dcat_ap_plus.__version__)

# Work with the generated datamodel (Python dataclasses)
from dcat_ap_plus.datamodel.dcat_ap_plus import Dataset, DataGeneratingActivity

ds = Dataset(
    id="ex:dataset1",
    title="Example dataset",
    description="A minimal dataset for quickstart.",
    was_generated_by=[DataGeneratingActivity(id="ex:act1")],
)
print(ds)

Documentation

• Project docs and schema reference: https://nfdi-de.github.io/dcat-ap-plus
• Source code: https://github.com/dalito/dcat-ap-plus

License

MIT License. See the bundled LICENSE file for details.