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LabelFlow Framework for Annotating Workflow Provenance
2018
Informatics
Scientists routinely analyse and share data for others to use. Successful data (re)use relies on having metadata describing the context of analysis of data. In many disciplines the creation of contextual metadata is referred to as reporting. One method of implementing analyses is with workflows. A stand-out feature of workflows is their ability to record provenance from executions. Provenance is useful when analyses are executed with changing parameters (changing contexts) and results need to
doi:10.3390/informatics5010011
fatcat:g2wyaqo7hva55mc4qcem7lbopy