Journal ArticleThe automated tracking and storage of provenance information promises to be a major advantage of scientific workflow systems. We discuss issues related to data and workflow provenance, and present techniques for focusing user attention on meaningful provenance through "user views," for managing the provenance of nested scientific data, and for using information about the evolution of a workflow specification to understand the difference in the provenance of similar data products
Abstract—An increasing number of scientific workflow systems are providing support for the automated...
ZOOM*UserViews presents a model of provenance for scientific workflows that is simple, generic, and ...
International audiencePROV has been adopted by a number of workflow systems for encoding the traces ...
Scientific experiments are becoming increasingly large and complex, with a commensurate increase in ...
The automated tracking and storage of provenance information promises to be a major advantage of sci...
Integrated provenance support promises to be a chief advantage of scientific workflow systems over s...
Current scientific applications are often structured as workflows and rely on workflow systems to co...
Scientific workflow management systems are increaingly providing the ability to manage and query the...
Science is changing. Computers, fast communication, and new technologies have created new ways of c...
Many scientists are using workflows to systematically design and run computational experiments. Once...
Abstract: Workflows are increasingly used in science to manage complex computations and data proces...
© 2018 Dr Farah Zaib KhanThe automation of computational analyses in data-intensive domains such as ...
As scientific workflows, and the data they operate on, grow in size and complexity, the task of defi...
Within computer science, the term provenance has multiple meanings, due to different motivations, pe...
Scientists can facilitate data intensive applications to study and understand the behavior of a comp...
Abstract—An increasing number of scientific workflow systems are providing support for the automated...
ZOOM*UserViews presents a model of provenance for scientific workflows that is simple, generic, and ...
International audiencePROV has been adopted by a number of workflow systems for encoding the traces ...
Scientific experiments are becoming increasingly large and complex, with a commensurate increase in ...
The automated tracking and storage of provenance information promises to be a major advantage of sci...
Integrated provenance support promises to be a chief advantage of scientific workflow systems over s...
Current scientific applications are often structured as workflows and rely on workflow systems to co...
Scientific workflow management systems are increaingly providing the ability to manage and query the...
Science is changing. Computers, fast communication, and new technologies have created new ways of c...
Many scientists are using workflows to systematically design and run computational experiments. Once...
Abstract: Workflows are increasingly used in science to manage complex computations and data proces...
© 2018 Dr Farah Zaib KhanThe automation of computational analyses in data-intensive domains such as ...
As scientific workflows, and the data they operate on, grow in size and complexity, the task of defi...
Within computer science, the term provenance has multiple meanings, due to different motivations, pe...
Scientists can facilitate data intensive applications to study and understand the behavior of a comp...
Abstract—An increasing number of scientific workflow systems are providing support for the automated...
ZOOM*UserViews presents a model of provenance for scientific workflows that is simple, generic, and ...
International audiencePROV has been adopted by a number of workflow systems for encoding the traces ...