Abstract--Cloud computing, the new trend for service infrastructures requires user multi-tenancy as well as minimal capital expenditure. In a cloud that services large amounts of d...
In this paper we describe the architecture and implementation of a digital library framework for scientific data, particularly imagery, with a focus on support for content-based se...
Lawrence D. Bergman, Vittorio Castelli, Chung-Shen...
The scale at which scientific data is produced will undergo a massive change in the near future. Many sophisticated scientific discovery laboratories or the installation of sensor...
An important reality when integrating scientific data is the fact that data may often be "missing", partially specified, or conflicting. Therefore, in this paper, we pre...
or vectors at every mesh point may lead to a very cluttered image. Continuous coloring or data mapping, on the other hand, provide a smooth representation of the data. The use of t...
Applications that query into very large multidimensional datasets are becoming more common. Many self-describing scientific data file formats have also emerged, which have structu...
Abstract. This paper examines the current way of keeping the data produced during the evaluation campaigns and highlights some shortenings of it. As a consequence, we propose a new...
Maristella Agosti, Giorgio Maria Di Nunzio, Nicola...
ract One important aspect of scientific data management is metadata management. Metadata is information about data (e.g., content, source, processing applied, precision). One kind ...
Nabil I. Hachem, Ke Qiu, Michael A. Gennert, Matth...
Scientific research relies as much on the dissemination and exchange of data sets as on the publication of conclusions. Accurately tracking the lineage (origin and subsequent proc...
Addressing the long term preservation issues associated with scientific data is a complex challenge compounded by: the scale and multidisciplinary nature of the problem; the wide ...