FAIR Computational Workflows  

作　　者：Carole Goble Sarah Cohen-Boulakia Stian Soiland-Reyes Daniel Garijo Yolanda Gil Michael R.Crusoe Kristian Peters Daniel Schober 

机构地区：[1]Department of Computer Science,The University of Manchester,Oxford Road,Manchester M139PL,UK [2]Laboratoire de Recherche en Informatique,CNRS,UniversitéParis-Saclay,Batiment 650,UniversitéParis-Sud,91405 ORSAY Cedex,France [3]Information Sciences Institute,University of Southern California,Marina Del Rey CA 90292,USA [4]Common Workflow Language project,Software Freedom Conservancy,Inc.137 Montague St STE 380,NY 11201-3548,USA [5]Leibniz Institute of Plant Biochemistry(IPB Halle),Department of Biochemistry of Plant Interactions,Weinberg 3,06120 Halle(Saale),Germany

出　　处：《Data Intelligence》2020年第1期108-121,307,308,309,共17页数据智能（英文）

基　　金：Carole Goble acknowledges funding by BioExcel2(H2020823830);IBISBA1.0(H2020730976)and EOSCLife(H2020824087);Daniel Schober’s work was financed by Phenomenal(H2020654241)at the initiation-phase of this effort,current work in kind contribution;Kristian Peters is funded by the German Network for Bioinformatics Infrastructure(de.NBI)and acknowledges BMBF funding under grant number 031L0107;Stian 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.

摘　　要：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.

关 键 词：Computational workflow REPRODUCIBILITY Software FAIR data PROVENANCE 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]