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Computational Workflows are widely used in data analysis, enabling innovationand decision-making. In many domains (bioinformatics, image analysis, & radioastronomy) the analysis components are numerous and written in multipledifferent computer languages by third parties. However, many competing workflowsystems exist, severely limiting portability of such workflows, therebyhindering the transfer of workflows between different systems, betweendifferent projects and different settings, leading to vendor lock-ins andlimiting their generic re-usability. Here we present the Common WorkflowLanguage (CWL) project which produces free and open standards for describingcommand-line tool based workflows. The CWL standards provide a common butreduced set of abstractions that are both used in practice and implemented inmany popular workflow systems. The CWL language is declarative, which allowsexpressing computational workflows constructed from diverse software tools,executed each through their command-line interface. Being explicit about theruntime environment and any use of software containers enables portability andreuse. Workflows written according to the CWL standards are a reusabledescription of that analysis that are runnable on a diverse set of computingenvironments. These descriptions contain enough information for advancedoptimization without additional input from workflow authors. The CWL standardssupport polylingual workflows, enabling portability and reuse of suchworkflows, easing for example scholarly publication, fulfilling regulatoryrequirements, collaboration in/between academic research and industry, whilereducing implementation costs. CWL has been taken up by a wide variety ofdomains, and industries and support has been implemented in many major workflowsystems.

Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language