The DataFAIRifier is a system that supports the creation and validation of mappings of relational data to ontologies. The system is packaged as a set of Docker images. The frontend of the system is implemented as Jupyter Notebook.
This repository describes the bottom-up DataFAIRifier process, and FAIR (Findable, Accessible, Interoperable, Reusable) data station which will be setup when following the instructions.
To run this DataFAIRifier, you need the following software installed on your computer:
- Docker Engine
- Docker Compose
The full docker-compose collection of containers is given in docker-compose.yml
The most minimalistic infrastructure can be executed by writing a docker-compose file (docker-compose.yml
) with the following contents:
version: "2"
services:
graphdb:
image: jvsoest/graphdb-free:fairstation
ports:
- "7200:7200"
This will create and run a GraphDB instance on your computer. The GraphDB web interface will be available on http://localhost:7200. If you want to add computation docker containers to this configuration, you can e.g. the O-RAW DICOM Radiomics pipeline:
version: "2"
services:
graphdb:
image: jvsoest/graphdb-free:fairstation
ports:
- "7200:7200"
oraw:
image: jvsoest/oraw
volumes:
- ./dicom_import/:/data/
links:
- graphdb:graphdb
environment:
- RDF4J_URL=http://graphdb:7200
- EXCLUDE_STRUCTURE_REGEX="(Patient.*|BODY.*|Body.*|NS.*|Couch.*|Isocenter.*)"
To run this infrastructure, you can go to the folder where you have this docker-compose.yml stored, and type:
docker-compose up
This will download the necessary images, and run the container.
The following commands can help you as well:
docker-compose up -d
: Will start or run docker containers in detached mode, giving you back the command line (and run containers as service in background)docker-compose stop
: will stop all running containersdocker-compose down
: Will stop all containders and remove the active image including datadocker logs <container_name>
: Will show the console logs for the running container, especially helpful in detached mode
Regarding the use of GraphDb, please have a look at the quick start guide