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The computational landscape has never so fast evolved like in the last decade. Computational scientific methods tackle an increasing breadth and diversity of topics – analyzing data on a large scale and accessing high-performance computing infrastructures, cutting-edge hardware and instruments. Novel technologies such as next-gen sequencing or the Square Kilometre Array telescope, the world largest radio telescope, have evolved, which allow creating data in exascale dimension. While the availability of this data salvage to find answers for research questions, which would not have been feasible before, the amount of data creates new challenges, which obviously need novel computational solutions. Such novel solutions require integrative approaches for multidisciplinary teams across geographical boundaries, which improve usability of scientific methods tailored to the target user communities and aim at achieving reproducibility of science. The goal of science gateways, also called virtual research environments or virtual laboratories, are following exactly this goal to provide an easy-to-use end-to-end solution hiding the complex underlying infrastructure. They support researchers with intuitive user interfaces to focus on their research question instead of becoming acquainted with technological details.
Science gateways are often developed by research teams, who are not necessarily in the computer science domain and science projects depend on academic funding. Centralized research programmer teams, who can provide broad experience and contribute to sustainability of solutions, are rather rare at universities and there is still a lack of incentives for interested developers to stay in academia. One of the future challenges for science gateways and thus for computational scientific methods will be to increase the sustainability and getting less dependent on successful proposals. The US National Science Foundation has recognized the importance of this topic for research and has funded the Science Gateways Community Institute (SGCI) to support not only teams in developing science gateways but also to help communities to find a way to sustain their favorite science gateway for conducting their research. This talk will go into detail for current challenges, the landscape around science gateways, the services of SGCI and approaches to reach sustainability.
The computational landscape has never so fast evolved like in the last decade. Computational scientific methods tackle an increasing breadth and diversity of topics – analyzing data on a large scale and accessing high-performance computing infrastructures, cutting-edge hardware and instruments. Novel technologies such as next-gen sequencing or the Square Kilometre Array telescope, the world largest radio telescope, have evolved, which allow creating data in exascale dimension. While the availability of this data salvage to find answers for research questions, which would not have been feasible before, the amount of data creates new challenges, which obviously need novel computational solutions. Such novel solutions require integrative approaches for multidisciplinary teams across geographical boundaries, which improve usability of scientific methods tailored to the target user communities and aim at achieving reproducibility of science. The goal of science gateways, also called virtual research environments or virtual laboratories, are following exactly this goal to provide an easy-to-use end-to-end solution hiding the complex underlying infrastructure. They support researchers with intuitive user interfaces to focus on their research question instead of becoming acquainted with technological details.
Science gateways are often developed by research teams, who are not necessarily in the computer science domain and science projects depend on academic funding. Centralized research programmer teams, who can provide broad experience and contribute to sustainability of solutions, are rather rare at universities and there is still a lack of incentives for interested developers to stay in academia. One of the future challenges for science gateways and thus for computational scientific methods will be to increase the sustainability and getting less dependent on successful proposals. The US National Science Foundation has recognized the importance of this topic for research and has funded the Science Gateways Community Institute (SGCI) to support not only teams in developing science gateways but also to help communities to find a way to sustain their favorite science gateway for conducting their research. This talk will go into detail for current challenges, the landscape around science gateways, the services of SGCI and approaches to reach sustainability.
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