REPRODUCIBILITY

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SWIRRL.Managing Provenance-aware and Reproducible Workspaces被引量：1
《Data Intelligence》2022年第2期243-258,共16页Alessandro Spinuso Mats Veldhuizen Daniele Bailo Valerio Vinciarelli Tor Langeland 
supported by the EU H2020 project ENVRIFair(No.824068);ISENES3(No.824084).
Modern interactive tools for data analysis and visualisation are designed to expose their functionalities as a service through the Web.We present in this paper a Web API(SWIRRL)that allows Virtual Research Environment...
关键词：PRODUCTIVITY Data-analysis REPRODUCIBILITY PROVENANCE Cloud-computing 
HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction被引量：1
《Data Intelligence》2022年第2期271-285,共15页Amirpasha Mozaffari Michael Langguth Bing Gong Jessica Ahring Adrian Rojas Campos Pascal Nieters Otoniel Jose Campos Escobar Martin Wittenbrink Peter Baumann Martin G.Schultz 
German Bundesministerium fuer Bildung und Forschung(BMBF)for funding the DeepRain project under grant agreement 01 IS18047A-E.
Machine learning(ML)applications in weather and climate are gaining momentum as big data and the immense increase in High-performance computing(HPC)power are paving the way.Ensuring FAIR data and reproducible ML pract...
关键词：FAIR REPRODUCIBILITY Machine learning Earth system sciences WORKFLOW 
FAIR Computational Workflows被引量：4
《Data Intelligence》2020年第1期108-121,307,308,309,共17页Carole Goble Sarah Cohen-Boulakia Stian Soiland-Reyes Daniel Garijo Yolanda Gil Michael R.Crusoe Kristian Peters Daniel Schober 
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.
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...
关键词：Computational workflow REPRODUCIBILITY Software FAIR data PROVENANCE 
Toward Training and Assessing Reproducible Data Analysis in Data Science Education被引量：1
《Data Intelligence》2019年第4期381-392,共12页Bei Yu Xiao Hu 
Reproducibility is a cornerstone of scientific research.Data science is not an exception.In recent years scientists were concerned about a large number of irreproducible studies.Such reproducibility crisis in science ...
关键词：Data science education REPRODUCIBILITY Reproducible data analysis Communication Action research 
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