Science Reproducibility and Reusability with FutureGateway and a Zenodo-like repository: the PALMS experiment
Open Science (OS) is a powerful and novel paradigm to share knowledge across multidisciplinary scientific communities with the aim to improve the quality of science. One of the most important OS enablers are the FAIR principles, which involves the way to Find, Access, Interoperate and Reuse research data. In most of the cases published scholarship materials are not linked with computed datasets, open source software and/or virtualized computing environments and OS currently lacks of means
... acks of means helping to reproduce and eventually reuse cited results exploiting public or private distributed computing infrastructures (DCIs). Moreover, from the final user point of view, the best option would be the use of graphical user interfaces (GUIs) normally hosted by a Science Gateway (SG) built for a specific scientific community. The FutureGateway Framework (FGF) consists of a complete software toolkit made of different parts such as: source codes, utilities, libraries and APIs capable to comfortably build reliable Science Gateways and link them to one or more DCIs avoiding any usage complexity from the final user perspective. Moreover, since SGs based on the FGF are capable to keep track of who is accessing the DCIs, not only its usage ensures OS-compliant reproducibility and reusability but also provides a possible answer in protecting or at least simply tracking people who are accessing data and this is one of the aspects that today still makes the adoption of the OS a delicate matter. This work presents and explains how the use of the EGI's Science Software on Demand (SSOD) service, built using the FutureGatewayFramework in conjunction with the INFN Open Access Repository (OAR), based on Zenodo software, can reproduce/reuse the outputs of the agent-based Physical Activity Lifelong Modelling & Simulations (PALMS) experiment.