dcat-ap-plus 0.1.0rc4

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

dcat_ap_plus

An extension of the DCAT Application Profile, which allows to provide additional metadata for a dcat:Dataset in a very generic manner, such as:

• which kind(s) of entity(s) or activity(s) were evaluated,
• which kind of activity generated the dcat:Dataset,
• which kind of instruments were used in the dataset generating activity,
• in which surrounding (e.g. a laboratory) and according to which plan the dataset generating activity took place,
• as well as which kind(s) of qualitative and quantitative characteristic(s) were attributed to the evaluated entity or evaluated activity and to the 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/nfdi-de/dcat-ap-plus

License

MIT License. See the bundled LICENSE file for details.