FAIR Computational Workflows

• Published in: Data intelligence Vol. 2; no. 1-2; pp. 108 - 121
• Main Authors: Goble, Carole, Cohen-Boulakia, Sarah, Soiland-Reyes, Stian, Garijo, Daniel, Gil, Yolanda, Crusoe, Michael R., Peters, Kristian, Schober, Daniel
• Format: Journal Article
• Language: English
• Published: One Rogers Street, Cambridge, MA 02142-1209, USA MIT Press 01.01.2020; MIT Press Journals, The; Paramus NJ: Rinton Press
• Subjects: Automation; Biochemistry; Bioinformatics; Computational workflow; Computer Science; Data collection; Data processing; FAIR data; Infrastructure; Metadata; Prediction models; Principles; Provenance; Quality assessment; Reproducibility; Software; Provenance; FAIR; R1.3 Computational workflow Reproducibility Software FAIR data Provenance; Reproducibility; Workflows centrés sur les données; Software; R1.3 Computational workflow; FAIR data

Computational workflows describe the complex multi-step methods that are used for data collection, data preparation, analytics, predictive modelling, and simulation that lead to new data products. They can inherently contribute to the FAIR data principles: by processing data according to established...