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# RSECon22 Walkthrough: A FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows
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# FDP Tutorial
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This repo contains an up to date fork of the material used for RSECon22 walkthrough titled: [*"A FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows"*](https://virtual.oxfordabstracts.com/#/event/public/3101/submission/113). The walkthrough uses a docker container and Jupyter Labs (formally, a notebook) to run through an example usage of the [FAIR Data Pipeline](https://www.fairdatapipeline.org/). You can view the walkthrough presentation in the [Society of Research Software Engineering channel](https://www.youtube.com/watch?v=IZWpmIOhuz0).
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The only prerequisite is an installation of Docker, which is available free from [docker.com](https://www.docker.com/).
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## Running the Docker Container
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The docker container is available on the GitHub Package Registry and can be pulled using the following command(s):
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The docker container is available on the GitHub Package Registry and can be pulled using the following command:
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### AMD64
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```
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docker pull ghcr.io/fairdatapipeline/fdptutorial:latest
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```

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