摘要: This special issue is on Canonical Workflow Frameworks for Research (CWFR). A workflow refers to a
sequence of activities, which may be more or less computer-based, used with regularity in the research
process. CWFR aim to identify common patterns in such scientifically motivated workflows and to offer
libraries of components based on FAIR Digital Objects as the integrative standard. Such CWFR components
can be reusable independent of particular technologies, benefitting researchers in their daily work by
making recurring activities more efficient, using automated workflow methods that would immediately
create FAIR compliant data without adding burden.
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期刊:
DATA INTELLIGENCE
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分类:
计算机科学
>>
计算机科学的集成理论
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引用:
ChinaXiv:202211.00449
(或此版本
ChinaXiv:202211.00449V1)
DOI:10.1162/dint_e_00122
CSTR:32003.36.ChinaXiv.202211.00449.V1
- 推荐引用方式:
Peter, Wittenburg,Alex, Hardisty,Amirpasha, Mozzafari,Limor, Peer,Nikolay, Skvortsov,Alessandro, Spinuso,Zhiming, Zhao.(2022).Editors’ Note: Special Issue on Canonical Workflow Frameworks for Research.DATA INTELLIGENCE.doi:10.1162/dint_e_00122
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