FAIR is as FAIR does
Integrating data publishing principles in scientific workflows
fairworkflows
A python library for constructing, annotating and publishing scientific workflows described using semantic technologies.
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What fairworkflows can do for you
- Facilitates the construction of RDF descriptions of a variety of scientific 'workflows'
- Allows easy publication of the resultant RDF by means of nanopublications
The focus is on description of workflows consisting of manual and computational steps using semantic technology, such as the ontology described in the publication:
Celebi, R., Moreira, J. R., Hassan, A. A., Ayyar, S., Ridder, L., Kuhn, T., & Dumontier, M. (2019). Towards FAIR protocols and workflows: The OpenPREDICT case study. arXiv:1911.09531.
The goals of the project are:
- To facilitate the construction of RDF descriptions of a variety of scientific 'workflows', in the most general sense. This includes experimental procedures, ipython notebooks, computational analysis of results, etc.
- To allow validation and publication of the resultant RDF (for example, by means of nanopublications).
- Re-use of previously published steps, in new workflows.
- FAIR data flow from end-to-end.
We seek to provide an easy-to-use python interface for achieving the above.
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No tags availableProgramming Language
- Python
License
- Apache-2.0
Source code
Projects with fairworkflows
Contributors
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Robin RichardsonNetherlands eScience Center
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Sven van der BurgNetherlands eScience Center
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Djura SmitsNetherlands eScience Center
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Remzi CelebiMaastricht University
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Tobias KuhnVrije Universiteit Amsterdam
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