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 contr...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 metadata;by creating metadata themselves during the processing of data;and by tracking and recording data provenance.These properties aid data quality assessment and contribute to secondary data usage.Moreover,workflows are digital objects in their own right.This paper argues that FAIR principles for workflows need to address their specific nature in terms of their composition of executable software steps,their provenance,and their development.展开更多
基金Carole Goble acknowledges funding by BioExcel2(H2020823830)IBISBA1.0(H2020730976)and EOSCLife(H2020824087)+3 种基金Daniel Schober’s work was financed by Phenomenal(H2020654241)at the initiation-phase of this effort,current work in kind contributionKristian Peters is funded by the German Network for Bioinformatics Infrastructure(de.NBI)and acknowledges BMBF funding under grant number 031L0107Stian Soiland-Reyes is funded by BioExcel2(H2020823830)Daniel Garijo,Yolanda Gil,gratefully acknowledge support from DARPA award W911NF-18-1-0027,NIH award 1R01AG059874-01,and NSF award ICER-1740683.
文摘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 metadata;by creating metadata themselves during the processing of data;and by tracking and recording data provenance.These properties aid data quality assessment and contribute to secondary data usage.Moreover,workflows are digital objects in their own right.This paper argues that FAIR principles for workflows need to address their specific nature in terms of their composition of executable software steps,their provenance,and their development.
