Problem addressed
Data processing tasks can be slow and produce results of poor quality due to lack of interoperability between individual applications and the loss of data provenance. Workflows and processing pipelines speed up data processing, enable transparent quality and provenance management, and ensure that methods and data are openly shared and reproducible.