Scientific workflows are a popular mechanism for specifying and automating data-driven in
silico experiments. A significant aspect of their value lies in their potential to be reused. Once …

Scientific data management plays a key role in the reproducibility of scientific results. To
reproduce results, not only the results but also the data and steps of scientific experiments …

Libraries in the USA and globally are undergoing quiet revolution. Libraries are moving
away from a philosophy that is collection-centered to one focused on service. Technology is …

IT-supported business processes and computationally intensive science (called e-science)
have become increasingly ubiquitous in the last decades. Along with this trend comes the …

Understandability and reproducibility of scientific results are vital in every field of science.
Several reproducibility measures are being taken to make the data used in the publications …

Preserving processes requires not only the identification of all process components, but also
the interception of all interactions of the process with the external influencers. In order to …

In the era of research infrastructures and big data, sophisticated data management practices
are becoming essential building blocks of successful science. Most practices follow a data …

The reproducibility of modern research depends on the possibility to faithfully rerun the
complex and distributed data transformation processes which were executed by scientists in …

In this paper, we present and address a number of challenges in digital preservation of
entire business processes:(1) identifying digital objects a business process depends on …

Emulation has evolved into a mature digital preservation strategy providing, inter alia,
functional access to a wide range of digital objects using their original creation …