Scientific workflows tend to be time consuming and data intensive, and today’s fast paced mobile culture does not afford researchers the luxury of neither sitting at a computer for days at a time, waiting for experiments. While business workflow research has addressed this issue, the solutions developed are not applicable to scientifc workflow systems, as the infrastructure of the two are not t...

The application of scientifically derived theories on software testing strongly depends on their ability to provide a value for practice. We provide a comprehensive review on the focus of research in combination with the requirements for their application. The major challenge for practice remains the continuous collection of data for successful method application. Major research gaps lie in a l...

The data management system DataFinder primarily targets the management of scientific technical data. Data can be attached with individual meta data that is based on a free-definable hierarchical data model to achieve data structuring and ordering. Moreover, the system is able to handle large amounts of data and can be easily integrated in existing working environments. The purpose of this paper...

As the web continues to change the way we produce and disseminate scientific knowledge, traditional digital libraries are confronted with the challenge of transcending their boundaries to remain compatible with a world where the whole Web in itself is the source of scientific knowledge. This paper discusses a resource-oriented approach for the management and interaction of scientific services a...

In this article we summarize the main data management requirements based on a recent NERSC user survey. Next we provide some recommendations about how these requirements can be addressed using existing data management technology.