Abstract—Modern scientific data management and analysis usually rely on multiple scientists with diverse expertise. In recent years, such a collaborative effort is often structured and automated by a dataflow-oriented process called scientific workflow. However, such workflows may have to be designed and revised among multiple scientists over a long time period. Existing tools are single user-oriented and do not support workflow development in a “collaborative fashion. ” In this paper, we report our research on the enabling techniques in the aspects of collaboration provenance management and reproduciability. Based on a scientific collaboration ontology, we propose a service-oriented collaboration model supported by a set of composable coll...
Background The automation of data analysis in the form of scientific workflows has become a widely ...
This paper describes our efforts to provide a collaborative problem solving architecture driven by s...
Workflows are increasingly used to manage and share scientific computations and methods. Workflow to...
Abstract-Large-scale scientific data management and analysis usually relies on many distributed scie...
Scientific discoveries are often the result of methodical execution of many interrelated scientific ...
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...
Recent advances in various domains have led to a data explosion, which has created many significant ...
The provenance of a data product contains information about how the product was derived, and is cruc...
Abstract—Scientific collaboration increasingly involves data sharing between separate groups. We con...
Science is changing. Computers, fast communication, and new technologies have created new ways of c...
The big data explosion phenomenon has impacted several domains, starting from research areas to dive...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows and their supporting systems are becoming increasingly popular for compute-inte...
Background The automation of data analysis in the form of scientific workflows has become a widely ...
This paper describes our efforts to provide a collaborative problem solving architecture driven by s...
Workflows are increasingly used to manage and share scientific computations and methods. Workflow to...
Abstract-Large-scale scientific data management and analysis usually relies on many distributed scie...
Scientific discoveries are often the result of methodical execution of many interrelated scientific ...
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...
Recent advances in various domains have led to a data explosion, which has created many significant ...
The provenance of a data product contains information about how the product was derived, and is cruc...
Abstract—Scientific collaboration increasingly involves data sharing between separate groups. We con...
Science is changing. Computers, fast communication, and new technologies have created new ways of c...
The big data explosion phenomenon has impacted several domains, starting from research areas to dive...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows and their supporting systems are becoming increasingly popular for compute-inte...
Background The automation of data analysis in the form of scientific workflows has become a widely ...
This paper describes our efforts to provide a collaborative problem solving architecture driven by s...
Workflows are increasingly used to manage and share scientific computations and methods. Workflow to...