WS-PGRADE/gUSE in European Projects

Besides core project partners, the SCI-BUS project also supported several external user communities in developing and setting up customized science gateways. The focus was on large communities typically represented by other European research projects. However, smaller local efforts with the potential of generalizing the solution to wider communities were also supported. This chapter gives an overview of support activities related to user communities external to the SCI-BUS project. A generic overview of such activities is provided followed by the detailed description of three gateways developed in collaboration with European projects: the agINFRA Science Gateway for Workflows for agricultural research, the VERCE Science Gateway for seismology, and the DRIHM Science Gateway for weather research and forecasting

DARE Platform a Developer-Friendly and Self-Optimising Workflows-as-a-Service Framework for e-Science on the Cloud

The DARE platform, developed as part of the H2020 DARE project (grant agreement No 777413), enables the seamless development and reusability of scientific workflows and applications, and the reproducibility of the experiments. Further, it provides Workflow-as-a-Service (WaaS) functionality and dynamic loading of execution contexts in order to hide technical complexity from its end users. This archive includes v3.5 of the DARE platform

DARE: A Reflective Platform Designed to Enable Agile Data-Driven Research on the Cloud

The DARE platform has been designed to help research developers deliver user-facing applications and solutions over diverse underlying e-infrastructures, data and computational contexts. The platform is Cloud-ready, and relies on the exposure of APIs, which are suitable for raising the abstraction level and hiding complexity. At its core, the platform implements the cataloguing and execution of fine-grained and Python-based dispel4py workflows as services. Reflection is achieved via a logical knowledge base, comprising multiple internal catalogues, registries and semantics, while it supports persistent and pervasive data provenance. This paper presents design and implementation aspects of the DARE platform, as well as it provides directions for future development.PublishedSan Diego (CA, USA)3IT. Calcolo scientific

Implementation of FAIR principles in the IPCC: the WGI AR6 Atlas repository

The Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC) has adopted the FAIR Guiding Principles. We present the Atlas chapter of Working Group I (WGI) as a test case. We describe the application of the FAIR principles in the Atlas, the challenges faced during its implementation, and those that remain for the future. We introduce the open source repository resulting from this process, including coding (e.g., annotated Jupyter notebooks), data provenance, and some aggregated datasets used in some figures in the Atlas chapter and its interactive companion (the Interactive Atlas), open to scrutiny by the scientific community and the general public. We describe the informal pilot review conducted on this repository to gather recommendations that led to significant improvements. Finally, a working example illustrates the re-use of the repository resources to produce customized regional information, extending the Interactive Atlas products and running the code interactively in a web browser using Jupyter notebooks.Peer reviewe

Advance Visualisation of Seismic Wave Propagation and Wave Speed Model

With the induction of the Virtual Reality and Visualisation Centre (V2C) at Leibniz Supercomputing Centre (LRZ), many domain specialists have approached LRZ to leverage on the immersive projection technology. Large datasets can now be stereoscopically displayed and specialists can interact with their complex datasets intuitively. Seismologists is one group of domain specialists that have benefited from the use of this virtual reality (VR) technology. To allow a deep insight into the simulated data, the seismologists make use of VR installations like a 5 sided projection installation based on the concepts of a Carolina Cruz-Neira’s CAVE Automated Virtual Environment (CAVE). In this article, the CAVE like installation at LRZ will be referred to as the CAVE for convenience

Advance Visualisation of Seismic Wave Propagation and Wave Speed Model

With the induction of the Virtual Reality and Visualisation Centre (V2C) at Leibniz Supercomputing Centre (LRZ), many domain specialists have approached LRZ to leverage on the immersive projection technology. Large datasets can now be stereoscopically displayed and specialists can interact with their complex datasets intuitively. Seismologists is one group of domain specialists that have benefited from the use of this virtual reality (VR) technology. To allow a deep insight into the simulated data, the seismologists make use of VR installations like a 5 sided projection installation based on the concepts of a Carolina Cruz-Neira’s CAVE Automated Virtual Environment (CAVE). In this article, the CAVE like installation at LRZ will be referred to as the CAVE for convenience.Published4T. Fisica dei terremoti e scenari cosismiciN/A or not JCRreserve

Canonical Workflows to Make Data FAIR

The FAIR principles have been accepted globally as guidelines for improving data-driven science and data management practices, yet the incentives for researchers to change their practices are presently weak. In addition, data-driven science has been slow to embrace workflow technology despite clear evidence of recurring practices. To overcome these challenges, the Canonical Workflow Frameworks for Research (CWFR) initiative suggests a large-scale introduction of self-documenting workflow scripts to automate recurring processes or fragments thereof. This standardised approach, with FAIR Digital Objects as anchors, will be a significant milestone in the transition to FAIR data without adding additional load onto the researchers who stand to benefit most from it. This paper describes the CWFR approach and the activities of the CWFR initiative over the course of the last year or so, highlights several projects that hold promise for the CWFR approaches, including Galaxy, Jupyter Notebook, and RO Crate, and concludes with an assessment of the state of the field and the challenges ahead

Towards addressing CPU-intensive seismological applications in Europe

Advanced application environments for seismic analysis help geoscientists to execute complex simulations to predict the behaviour of a geophysical system and potential surface observations. At the same time data collected from seismic stations must be processed comparing recorded signals with predictions. The EU-funded project VERCE ( http://verce.eu/ ) aims to enable specific seismological use-cases and, on the basis of requirements elicited from the seismology community, provide a service-oriented infrastructure to deal with such challenges. In this paper we present VERCE's architecture, in particular relating to forward and inverse modelling of Earth models and how the, largely file-based, HPC model can be combined with data streaming operations to enhance the scalability of experiments. We posit that the integration of services and HPC resources in an open, collaborative environment is an essential medium for the advancement of sciences of critical importance, such as seismology