Add to ORKGWith this paper we want to describe the motivation and basic ideas behind CWFR. Two working meetings were held to discuss the CWFR concept and to relate it with other work around “workflows” that has already been done. We intend to further develop this paper dependent on the growing insights based on the discussions and interactions we are planning to organise
The landscape of workflow systems for scientific applications is notoriously convoluted with hundred...
Workflows have been used traditionally as a mean to describe and implement the computing usually par...
International audienceThis special issue and our editorial celebrate 10 years of progress with data-...
The FAIR principles have been accepted globally as guidelines for improving data-driven science and ...
One idea of the Canonical Workflow Framework for Research (CWFR) is to improve the reusability and a...
In Canonical Workflow Framework for Research (CWFR) “packages” are relevant in two different directi...
Background: The automation of data analysis in the form of scientific workflows has become a widely ...
Background: The automation of data analysis in the form of scientific workflows has become a widely ...
We here introduce the concept of Canonical Workflow Building Blocks (CWBB), a methodology of describ...
Workflows have recently emerged as a paradigm for representing and managing complex distributed scie...
The automation of data analysis in the form of scientific workflows is a widely adopted practice in ...
Computational workflows describe the complex multi-step methods that are used for data collection, d...
This talk will introduce the Common Workflow Language project. In July 2016 they released standards ...
Computational Workflows are widely used in data analysis, enabling innovation and decision-making. I...
These use cases describe how researchers use workflow tools to automate complex research computing p...
The landscape of workflow systems for scientific applications is notoriously convoluted with hundred...
Workflows have been used traditionally as a mean to describe and implement the computing usually par...
International audienceThis special issue and our editorial celebrate 10 years of progress with data-...
The FAIR principles have been accepted globally as guidelines for improving data-driven science and ...
One idea of the Canonical Workflow Framework for Research (CWFR) is to improve the reusability and a...
In Canonical Workflow Framework for Research (CWFR) “packages” are relevant in two different directi...
Background: The automation of data analysis in the form of scientific workflows has become a widely ...
Background: The automation of data analysis in the form of scientific workflows has become a widely ...
We here introduce the concept of Canonical Workflow Building Blocks (CWBB), a methodology of describ...
Workflows have recently emerged as a paradigm for representing and managing complex distributed scie...
The automation of data analysis in the form of scientific workflows is a widely adopted practice in ...
Computational workflows describe the complex multi-step methods that are used for data collection, d...
This talk will introduce the Common Workflow Language project. In July 2016 they released standards ...
Computational Workflows are widely used in data analysis, enabling innovation and decision-making. I...
These use cases describe how researchers use workflow tools to automate complex research computing p...
The landscape of workflow systems for scientific applications is notoriously convoluted with hundred...
Workflows have been used traditionally as a mean to describe and implement the computing usually par...
International audienceThis special issue and our editorial celebrate 10 years of progress with data-...