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Issues
Spring 2022
EISSN 2641-435X
In this Issue
Canonical Workflow Frameworks for Research, Editors: Peter Wittenburg, Alex Hardisty, Limor Peer & Amirpasha Mozzafari
Research Papers
Editors’ Note: Special Issue on Canonical Workflow Frameworks for Research
Data Intelligence (2022) 4 (2): 149–154.
The Integration of a Canonical Workflow Framework with an Informatics System for Disease Area Research
Data Intelligence (2022) 4 (2): 186–195.
Pilot Study on the Intercalibration of a Categorisation System for FAIRer Digital Objects Related to Sensitive Data in the Life Sciences
Data Intelligence (2022) 4 (2): 196–211.
SWIRRL. Managing Provenance-aware and Reproducible Workspaces
Data Intelligence (2022) 4 (2): 243–258.
Enabling Canonical Analysis Workflows Documented Data Harmonization on Global Air Quality Data
Data Intelligence (2022) 4 (2): 259–270.
HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction
Data Intelligence (2022) 4 (2): 271–285.
Reproducible Research Publication Workflow: A Canonical Workflow Framework and FAIR Digital Object Approach to Quality Research Output
Data Intelligence (2022) 4 (2): 306–319.
The Specimen Data Refinery: A Canonical Workflow Framework and FAIR Digital Object Approach to Speeding up Digital Mobilisation of Natural History Collections
Data Intelligence (2022) 4 (2): 320–341.
Making Canonical Workflow Building Blocks Interoperable across Workflow Languages
Data Intelligence (2022) 4 (2): 342–357.
Evaluation of Application Possibilities for Packaging Technologies in Canonical Workflows
Data Intelligence (2022) 4 (2): 372–385.
From a Dynamic Image Annotation Process within the Humanities to a Canonical Workflow
Data Intelligence (2022) 4 (2): 386–397.
Realising Data-Centric Scientific Workflows with Provenance-Capturing on Data Lakes
Data Intelligence (2022) 4 (2): 426–438.
A Semantic Approach to Workflow Management and Reuse for Research Problem Solving
Data Intelligence (2022) 4 (2): 439–454.
A Workflow Demonstrator for Processing Catalysis Research Data
Abraham Nieva de la Hidalga, Donato Decarolis, Shaojun Xu, Santhosh Matam, Willinton Yesid Hernández Enciso
...
Data Intelligence (2022) 4 (2): 455–470.
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