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Open Science Metrics

using this project

Steps:

  1. retrieve the source code from github

  2. to build the services simply run

.$ cp dotenv-example .env             # make sure you have an .env file
.$ cd docker && docker-compose build  # use docker to build the services 
  1. to start up the services simply run
.$ cd docker && docker-compose up     # use docker to run the services 
  1. open the jupyter notebook
.$ xdg-open $(docker/jupyter_url.sh)  # this gets the url for the service and opens a browser to it
  1. open the graphdb browser ui
.$ xdg-open http://localhost:7200     # opens the web ui in a browser
  1. run a test-ingest

This introduces forcefully at least the data/project.ttl into the triple store This should not be needed when the ingest runs automatically

.$ docker exec -it lwua_ingest /bin/bash            # interactively gets you into the ingest env
root@f226b253fbd4:/lwua-py# python -m lwua.ingest   # run the ingest 

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K-GAP implementation for kpi & open fair metrics at VLIZ

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