CovidStat @ INFN Open Access Repository

La presentazione mostra il modello dei dati e dei metadati per l'integrazione dei prodotti della ricerca dell'applicazione CovidStat (https://covid19.infn.it) con l'INFN Open Access Repository, in ottemperanza ai principi FAIR (www.go-fair.org/fair-principles/)

Synthetic procedure to replicate the INFN Open Access Repository (based on Invenio v3 and Zenodo)

This document contains a synthetic procedure to replicate the INFN Open Access Repositor

Synthetic procedure to replicate the INFN Open Access Repository (based on Invenio v3 and Zenodo)

This document contains a synthetic procedure to replicate the INFN Open Access Repositor

Synthetic procedure to replicate the INFN Open Access Repository (based on Invenio v3 and Zenodo)

This document contains a synthetic procedure to replicate the INFN Open Access Repositor

Synthetic procedure to replicate the INFN Open Access Repository (based on Invenio v3 and Zenodo)

This document contains a synthetic procedure to replicate the INFN Open Access Repositor

The Reproducibility and Reusability Platform

Poster presentation at OR2020, Stellenboch, South Africa 1st - 4th June 2020

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 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

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 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

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 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

Updates on the INFN Open Access Repository

Research organisations are moving to new models of sharing publications and data among communities in order to overcome limitations of current publishing systems: free and open access, data and publication associations, etc. INFN and other organisations, both public and private, have signed a global initiative launched by Science Europe, named Plan S, aimed at moving the state funded research works in open repositories or journal available to all. In this context, we have updated the pilot of the INFN Open Access Repository, that is operational since 2014, to a version that is compliant with Plan S requirements. Starting from Zenodo code, that powers the EC flagship repository with the same name, developed by CERN in the context of the OpenAIRE series of projects, we customised the implementation to add features useful for INFN. These include the integration with INFN-AAI for the authentication, configurable look and feel, data migration from previous repository and some fixes. Additionally, we have developed yaml files describing all micro services behind Zenodo for an automated deployment on a Kubernetes-based infrastructure. The repository is open for testing by all INFN staff and associated researchers and people from other organisations are also investigating it, already. We are currently preparing a Conceptual Design Report for the updater repository for evaluation by the INFN management and we will report on it