Reproducibility is a major driver for advanced workflow development and sophisticated data management tailored for analysis and modeling of data on a large scale. Sustainability and usability are also tackled via novel models and programming frameworks targeting the developer and user community to ease the creation of science gateways. The need for sustainability of science gateways and reproducibility of science leads to solutions connecting research and business and building flexible, reliable research infrastructures and service-oriented architectures.
The submissions reflect the trends in the area of science gateways and address three main areas: sustainability of software, reproducibility of science and management of data on a large scale. 13 full papers have been presented as 30-minutes talks, while the nine accepted abstracts resulted in corresponding lightning talks. The workshop has featured three thought-provoking keynotes and the International Coalition on Science Gateways (ICSG) has been kicked off at the event. IWSG offers the venue for discussing problems and solutions in the area, for identifying new issues as well as for shaping future directions for research and fosters the exchange of ideas, standards and common requirements and thus, pushes towards the wider adoption of science gateways in diverse communities. The workshop forms an international platform to bring together researchers and scientists from different scientific domains, along with science gateways developers and research infrastructure providers. IWSG 2016 was the 8th event of the European workshop series IWSG (International Workshop on Science Gateways) and has taken place in Rome, Italy.
As interest in science gateways has accelerated in the past few years, an increasing number of new user communities can utilise distributed computing and distributed data resources in a convenient manner. The complexity of the underlying infrastructure can be completely hidden from the end-users by a suitably tailored interface. Science gateways offer the potential to open the utilisation of DCIs to wider audiences by providing a customised and easy to use interface to the users enabling access to large computational and data resources, e.g., distributed file systems, sensor data, data from lab instruments. Science gateways represent a community-specific set of tools, applications, and data collections that are integrated via a web portal or a desktop application, providing access to resources and services of distributed computing infrastructures (DCIs).
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