IN21D-08:
Supporting the scientific lifecycle through cloud services

Tuesday, 16 December 2014: 9:45 AM
Stephan Gensch1, Jens F Klump2, Roland Bertelmann1 and Christopher Braune1, (1)Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany, (2)CSIRO Earth Science and Resource Engineering Perth, Perth, WA, Australia
Abstract:
Cloud computing has made resources and applications available for numerous use cases ranging from business processes in the private sector to scientific applications. Developers have created tools for data management, collaborative writing, social networking, data access and visualization, project management and many more; either for free or as paid premium services with additional or extended features. Scientists have begun to incorporate tools that fit their needs into their daily work. To satisfy specialized needs, some cloud applications specifically address the needs of scientists for sharing research data, literature search, laboratory documentation, or data visualization. Cloud services may vary in extent, user coverage, and inter-service integration and are also at risk of being abandonend or changed by the service providers making changes to their business model, or leaving the field entirely.
Within the project Academic Enterprise Cloud we examine cloud based services that support the research lifecycle, using feature models to describe key properties in the areas of infrastructure and service provision, compliance to legal regulations, and data curation. Emphasis is put on the term Enterprise as to establish an academic cloud service provider infrastructure that satisfies demands of the research community through continious provision across the whole cloud stack. This could enable the research community to be independent from service providers regarding changes to terms of service and ensuring full control of its extent and usage. This shift towards a self-empowered scientific cloud provider infrastructure and its community raises implications about feasability of provision and overall costs. Legal aspects and licensing issues have to be considered, when moving data into cloud services, especially when personal data is involved.
Educating researchers about cloud based tools is important to help in the transition towards effective and safe use. Scientists can benefit from the provision of standard services, like weblog and website creation, virtual machine deployments, and groupware provision using cloud based app store-like portals. And, other than in an industrial environment, researchers will want to keep their existing user profile when moving from one institution to another.