Add to ORKGOur contributions to advancing the state‐of‐the‐art in scientific workflows have focused on the following areas: Workflow development; Generic workflow components and templates; Provenance collection and analysis; Workflow reliability and fault tolerance
In recent years, a number of scientific workflow management systems (SWFMSs) have been developed to ...
A simple yet powerful programming tool enabling in silico experimentation, end-to-end data managemen...
Modern scientific collaborations have opened up the opportunity to solve complex problems that requi...
Over the past five years, our activities have both established Kepler as a viable scientific workflo...
With the increasing volume and complexity of data produced by ultra-scale simulations and high-thro...
Scientific workflows require the coordination of data processing activities, resulting in executions...
International audienceThis special issue and our editorial celebrate 10 years of progress with data-...
This is the final report from SDSC and UC Davis on DE-FC02-01ER25486, Scientific Data Management Int...
The presentation covers the role of scientific data and scientific software in the research process....
We have collected a comprehensive list of SWfMSs for conducting our research.</p
Managing scientific data has been identified by the scientific community as one of the most importan...
Scientific workflows are typically used to automate the processing, analysis and management of scien...
Scientific workflows are a cornerstone of modern scientific computing, and they have underpinned som...
Providing maximum information on the provenance of scientific results in life sciences is getting co...
Workflow technologies are emerging as the dominant approach to coordinate groups of distributed serv...
In recent years, a number of scientific workflow management systems (SWFMSs) have been developed to ...
A simple yet powerful programming tool enabling in silico experimentation, end-to-end data managemen...
Modern scientific collaborations have opened up the opportunity to solve complex problems that requi...
Over the past five years, our activities have both established Kepler as a viable scientific workflo...
With the increasing volume and complexity of data produced by ultra-scale simulations and high-thro...
Scientific workflows require the coordination of data processing activities, resulting in executions...
International audienceThis special issue and our editorial celebrate 10 years of progress with data-...
This is the final report from SDSC and UC Davis on DE-FC02-01ER25486, Scientific Data Management Int...
The presentation covers the role of scientific data and scientific software in the research process....
We have collected a comprehensive list of SWfMSs for conducting our research.</p
Managing scientific data has been identified by the scientific community as one of the most importan...
Scientific workflows are typically used to automate the processing, analysis and management of scien...
Scientific workflows are a cornerstone of modern scientific computing, and they have underpinned som...
Providing maximum information on the provenance of scientific results in life sciences is getting co...
Workflow technologies are emerging as the dominant approach to coordinate groups of distributed serv...
In recent years, a number of scientific workflow management systems (SWFMSs) have been developed to ...
A simple yet powerful programming tool enabling in silico experimentation, end-to-end data managemen...
Modern scientific collaborations have opened up the opportunity to solve complex problems that requi...