DCAT-AP for DANS: Research and Analysis

🗂️ Relevant files 🗂️

Technical Requirements analysis/scoping

• DCAT-AP-NL-DANS-reqs.md - Technical Requirements
• DCAT-AP-NL-DANS-implementation-guide.md - implementation guidelines

Jupyter Notebooks

• requirements-analysis.ipynb

Overview CSVs

• csvs/ap-nl-dataset-mand-props.csv - Overview of DCAT-AP + DCAT-AP-NL Dataset mandatory properties
• csvs/ap-nl-dataset-recommended-props.csv - Overview of DCAT-AP + DCAT-AP-NL Dataset recommended properties
• csvs/ap-nl-dataset-CVs.csv Overview of DCAT-AP Dataset properties with controlled vocs as range

landscape_analysis.ipynb Landscape analysis: DCAT & DCAT-AP

• Authors: - Alessandra Polimero (@aapolimeno)
• Date: 2024.11

🛠 Repository setup 🛠

Git Submodules

This repository uses Git Submodules to manage dependencies to DCAT-AP & DCAT-AP-NL

git submodule add https://github.com/SEMICeu/DCAT-AP.git  dcat-ap/
git submodule add https://github.com/Geonovum/DCAT-AP-NL30.git dcat-ap-nl

Cloning for the first time

To clone this repo along with all its dependencies, run:

git clone --recursive https://github.com/Dans-labs/dcat-ap-requirements-analysis.git

If you already cloned the repo or forgot the --recursive flag, run the following to fetch the submodules: git submodule update --init --recursive

Python Virtual environment & requirements

In the top most directory:

Create a virtual environment python3 -m venv venv

Activate it: source venv/bin/activate

Install Python requirements: pip install -r requirements.txt

Note on DCAT-AP versions

Note

Note that while, at moment of writing DCAT-AP-NL is basing is profile in DCAT-AP v3.0.0, from June 2023.
DCAT-AP v3.0.1 includes some important changes (see 3.0.1/CHANGELOG.md) including the dcat-ap/releases/3.0.1/shacl/ranges.ttl which is important for these requirements. Hence this requirement analysis will be based on DCAT-AP 3.0.1, although DCAT-AP-NL, at the time of writing (2026.02.10) is still based on DCAT-AP 3.0.0

📒 Meeting notes 📒

• Meetings.md