with testing and regression testing techniques. This paper reports on the challenges faced by researchers experimenting with testing techniques, including those that inform the design of our infrastructure. The paper then describes the infrastructure that we are creating in response to these challenges

to data, an infrastructure to guarantee data privacy, and user interface design for such a service. These issues are investigated in the study. We identify data privacy as a particularly vital problem and propose alternative solutions based on data encryption. This paper is meant as a challenges paper

Cloud computing is a recent advancement wherein IT infrastructure and applications are provided as “services ” to endusers under a usage-based payment model. They can leverage virtualized services even on the fly based on requirements (workload patterns and QoS) varying with time. The application

Abstract. This paper discusses the challenges that are imposed by the Big Data Science on the modern and future Scientific Data Infrastructure (SDI). The paper refers to different scientific communities to define requirements on data management, access control and security. The paper introduces

The field of Spatial Data Infrastructure (SDI) is developing and approaches rapidly a “critical mass ” of more or less operational SDIs. The purpose of the paper is to anticipate the possible impact of the maturing SDI field on its research agenda. Initial initiatives were predominantly techno

trialed for research purposes. The field sites were each unique and provided information for a variety of scenarios and conditions. The performance observed and data collected at the field sites was used to develop many of the recommendations provided in the guide. In addition to the full scale field

applications such as information support during disaster prevention and management. These two milestones involving Geodata development have created huge demands and represent great challenges for researchers in the area of spatial data infrastructure. One of these challenges concerned the methodologies

, DNA sequence data are readily available or obtainable for a wide spectrum of organisms, thus creating an unprecedented opportunity to explore evolutionary relationships broadly and deeply across the Tree of Life. Unfortunately, the algorithms used to infer evolutionary relationships are NP-hard, so

proposed infrastructures for injecting such functionality; however, many challenges remain before these can be widely deployed. CANS is an application-level infrastructure for injecting application-specific components into the network that focuses on three such challenges: (a) efficient and dynamic

Within the field of information systems an interest in environmental issues has driven the agenda for research from green IT improvement to sustainable innovation. A challenge yet to investigate is how sustainable innovation involving a cluster of actors from multiple settings should be 1) designed