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- What are workflows?
- Why create workflows?
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FAIR workflows
The FAIR principles can be used to guide us in thinking about good data management and making our data reproducible:
Findable – ensure data can be found, for example by using unique identifiers and clear metadata.
Accessible – ensure data can be retrieved using the unique identifier, however this may require user authorisation where necessary.
Interoperable – ensure use of shared formats, vocabularies and ontologies.
Reusable – ensure data are clearly described, meet community standards and have a usage license.
These principles should also be considered when creating workflows.
How can workflows be made FAIR?8
There are many ways that workflows can be developed to contribute to being FAIR, including:
- Require the use of specific metadata and standards
- Create results and metadata in consistent formats
- Be listed in registries to support findability; this may also create persistent identifiers, assisting with citation
- Use of workflow languages, such as the Common Workflow Language (CWL), to aid with interoperability
Read more about FAIR computational workflows.8