person-data-analysis
This repository contains a Jupyter notebook and related helper scripts to analyze authority data of the MetaBelgica partner institutions. It is related to deliverable Deliverable 1.2.2 - Quality requirements and categories of Belgian entities. MetaBelgica. https://doi.org/10.5281/zenodo.14974410
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.2%) to scientific vocabulary
Keywords
Repository
This repository contains a Jupyter notebook and related helper scripts to analyze authority data of the MetaBelgica partner institutions. It is related to deliverable Deliverable 1.2.2 - Quality requirements and categories of Belgian entities. MetaBelgica. https://doi.org/10.5281/zenodo.14974410
Basic Info
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- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 1
Topics
Metadata Files
README.md
Person-data-analysis
This repository contains a Jupyter notebook and related helper scripts to analyze authority data of the MetaBelgica partner institutions. It is related to deliverable Deliverable 1.2.2 - Quality requirements and categories of Belgian entities. MetaBelgica. https://doi.org/10.5281/zenodo.14974410
Run the notebook from the command line
```bash
Create a new Python virtual environment
python3 -m venv py-env-person-analysis
Activate the virtual environment
source py-env-person-analysis/bin/activate
install ipykernel
pip install ipykernel
add kernel based on virtual environment
python -m ipykernel install --user --name=py-env-person-analysis
install dependencies
pip install -r requirements.txt
run jupyter notebook
jupyter notebook
select the correct virtual environment in the jupyter UI
```
License
- Code: Licensed under the MIT License.
- Figures & Text: Licensed under CC BY 4.0.
When citing this notebook, please use the provided DOI: todo, add after DOI is retrieved after first release
Owner
- Name: MetaBelgica
- Login: MetaBelgica
- Kind: organization
- Email: Sven.Lieber@kbr.be
- Location: Belgium
- Website: https://www.kbr.be/en/projects/metabelgica/
- Repositories: 1
- Profile: https://github.com/MetaBelgica
Open source code related to the infastructure project MetaBelgica that aims to publish Linked Open Data about entities related to Belgian cultural heritage.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this notebook, please cite it as below." authors: - family-names: "Lieber" given-names: "Sven" orcid: "https://orcid.org/0000-0002-7304-3787" title: "MetaBelgica - Person data analysis" version: 0.1.0 date-released: 2025-04-01 url: "https://github.com/metabelgica/person-data-analysis"
GitHub Events
Total
- Create event: 1
- Issues event: 1
- Release event: 1
- Delete event: 1
- Push event: 2
- Public event: 1
Last Year
- Create event: 1
- Issues event: 1
- Release event: 1
- Delete event: 1
- Push event: 2
- Public event: 1
Dependencies
- asttokens ==3.0.0
- backcall ==0.2.0
- certifi ==2025.1.31
- charset-normalizer ==3.4.1
- comm ==0.2.2
- contourpy ==1.1.1
- cycler ==0.12.1
- debugpy ==1.8.13
- decorator ==5.2.1
- enchant ==0.0.1
- executing ==2.2.0
- fonttools ==4.56.0
- geoname-enrichment ==0.1.0
- idna ==3.10
- importlib-metadata ==8.5.0
- importlib-resources ==6.4.5
- ipykernel ==6.29.5
- ipython ==8.12.3
- jedi ==0.19.2
- jupyter-client ==8.6.3
- jupyter-core ==5.7.2
- kiwisolver ==1.4.7
- lxml ==5.3.1
- matplotlib ==3.7.5
- matplotlib-inline ==0.1.7
- nest-asyncio ==1.6.0
- numpy ==1.24.4
- packaging ==24.2
- pandas ==2.0.3
- parso ==0.8.4
- pexpect ==4.9.0
- pickleshare ==0.7.5
- pillow ==10.4.0
- platformdirs ==4.3.6
- prompt-toolkit ==3.0.50
- psutil ==7.0.0
- ptyprocess ==0.7.0
- pure-eval ==0.2.3
- pygments ==2.19.1
- pyparsing ==3.1.4
- python-dateutil ==2.9.0.post0
- python-dotenv ==1.0.1
- python-stdnum ==1.20
- pytz ==2025.2
- pyzmq ==26.3.0
- requests ==2.32.3
- seaborn ==0.13.2
- six ==1.17.0
- stack-data ==0.6.3
- tornado ==6.4.2
- tqdm ==4.67.1
- traitlets ==5.14.3
- typing-extensions ==4.13.0
- tzdata ==2025.2
- urllib3 ==2.2.3
- venn ==0.1.3
- wcwidth ==0.2.13
- xml-to-csv ==0.1.1
- zipp ==3.20.2