Add to ORKGAbstract—Large-scale scientific data management and analysis usually relies on many distributed scientists with diverse expertise. In recent years, such a collaborative effort is often composed and automated into a dataflow-oriented process, a so-called scientific workflow. However, existing scientific workflow tools are single user-oriented and do not support collaborative scientific workflow composition, execution, and management among multiple distributed scientists. In this paper, we report our study of collaboration protocols towards building a tool supporting collaborative scientific workflow composition. Based on a scientific collaboration ontology, we propose a collaboration model supported by a set of collaboration primitives and p...
Workflows are increasingly used to manage and share scientific computations and methods. Workflow to...
Introduction Collaboration among scientists is human behavior that facilitates the sharing of meanin...
The provenance of a data product contains information about how the product was derived, and is cruc...
Abstract—Large-scale scientific data management and analysis usually relies on many distributed scie...
Abstract—Modern scientific data management and analysis usually rely on multiple scientists with div...
In recent years, a number of scientific workflow management systems (SWFMSs) have been developed to ...
Scientific collaboration increasingly involves data sharing between separate groups. We consider a s...
Scientific discoveries are often the result of methodical execution of many interrelated scientific ...
The big data explosion phenomenon has impacted several domains, starting from research areas to dive...
Abstract—Scientific collaboration increasingly involves data sharing between separate groups. We con...
This paper describes our efforts to provide a collaborative problem solving architecture driven by s...
Many scientific workflow systems have been developed and are serving to benefit science. In this pap...
Recent advances in various domains have led to a data explosion, which has created many significant ...
Science is changing. Computers, fast communication, and new technologies have created new ways of c...
Many scientific workflow systems have been developed and are serving to benefit science. In this pap...
Workflows are increasingly used to manage and share scientific computations and methods. Workflow to...
Introduction Collaboration among scientists is human behavior that facilitates the sharing of meanin...
The provenance of a data product contains information about how the product was derived, and is cruc...
Abstract—Large-scale scientific data management and analysis usually relies on many distributed scie...
Abstract—Modern scientific data management and analysis usually rely on multiple scientists with div...
In recent years, a number of scientific workflow management systems (SWFMSs) have been developed to ...
Scientific collaboration increasingly involves data sharing between separate groups. We consider a s...
Scientific discoveries are often the result of methodical execution of many interrelated scientific ...
The big data explosion phenomenon has impacted several domains, starting from research areas to dive...
Abstract—Scientific collaboration increasingly involves data sharing between separate groups. We con...
This paper describes our efforts to provide a collaborative problem solving architecture driven by s...
Many scientific workflow systems have been developed and are serving to benefit science. In this pap...
Recent advances in various domains have led to a data explosion, which has created many significant ...
Science is changing. Computers, fast communication, and new technologies have created new ways of c...
Many scientific workflow systems have been developed and are serving to benefit science. In this pap...
Workflows are increasingly used to manage and share scientific computations and methods. Workflow to...
Introduction Collaboration among scientists is human behavior that facilitates the sharing of meanin...
The provenance of a data product contains information about how the product was derived, and is cruc...