© The Author(s) 2011. This article is published with open access at Springerlink.com Abstract Most workflow systems that support data provenance primarily focus on tracing lineage of data. Data provenance by data lineage provides the derivation history of data including information about services and input data that contributed to the creation of a data product. We show that tracing lineage by means of full backward chaining not only enables users to share, discover and reuse the data, but also supports scientific data processing through storage, retrieval and (re)processing of digitized scientific data. In this paper, we present Astro-WISE, a distributed system for processing, analyzing and disseminating wide field imaging astronomical dat...
Data management is growing in complexity as large-scale applications take advantage of the loosely c...
Large-scale, dynamic and open environments such as the Grid and Web Services build upon existing com...
Many scientists are using workflows to systematically design and run computational experiments. Once...
© The Author(s) 2011. This article is published with open access at Springerlink.com Abstract Most w...
<p>Most workflow systems that support data provenance primarily focus on tracing lineage of data. Da...
Most workflow systems that support data provenance primarily focus on tracing lineage of data. Data ...
In this paper we propose a new provenance model which is tailored to a class of workflow-based appli...
In this paper we propose a new provenance model which is tailored to a class of workflow-based appli...
The recent explosion of recorded digital data and its processed derivatives threatens to overwhelm r...
Altres ajuts: Xavier Pons is the recipient of an ICREA Academia Excellence in Research Grant (2016-2...
ANTARES, a software system for categorizing astronomic phenomena, employs a non-static pipeline. For...
Data lineage is a key component of provenance that helps scientists track and query relationships be...
Scientists can facilitate data intensive applications to study and understand the behavior of a comp...
Integrated provenance support promises to be a chief advantage of scientific workflow systems over s...
Scientific collaboration increasingly involves data sharing between separate groups. We consider a s...
Data management is growing in complexity as large-scale applications take advantage of the loosely c...
Large-scale, dynamic and open environments such as the Grid and Web Services build upon existing com...
Many scientists are using workflows to systematically design and run computational experiments. Once...
© The Author(s) 2011. This article is published with open access at Springerlink.com Abstract Most w...
<p>Most workflow systems that support data provenance primarily focus on tracing lineage of data. Da...
Most workflow systems that support data provenance primarily focus on tracing lineage of data. Data ...
In this paper we propose a new provenance model which is tailored to a class of workflow-based appli...
In this paper we propose a new provenance model which is tailored to a class of workflow-based appli...
The recent explosion of recorded digital data and its processed derivatives threatens to overwhelm r...
Altres ajuts: Xavier Pons is the recipient of an ICREA Academia Excellence in Research Grant (2016-2...
ANTARES, a software system for categorizing astronomic phenomena, employs a non-static pipeline. For...
Data lineage is a key component of provenance that helps scientists track and query relationships be...
Scientists can facilitate data intensive applications to study and understand the behavior of a comp...
Integrated provenance support promises to be a chief advantage of scientific workflow systems over s...
Scientific collaboration increasingly involves data sharing between separate groups. We consider a s...
Data management is growing in complexity as large-scale applications take advantage of the loosely c...
Large-scale, dynamic and open environments such as the Grid and Web Services build upon existing com...
Many scientists are using workflows to systematically design and run computational experiments. Once...