In order to keep Research Infrastructures (RIs) at the highest level of excellence in science, new technologies and solutions must be developed to steer toward a reduced environmental footprint, as it is the case for all domains of our societies. Lowering the environmental impact of digital services and technologies has to become a priority for both the operation of existing digital services...
The escalating volume and complexity of Earth and environmental data necessitate an effective, interdisciplinary partnership among scientists and data providers. Achieving this requires the utilization of research infrastructures that offer sophisticated e-services. These services enhance data integration and interoperability, enable seamless machine-to-machine data exchanges, and leverage...
The Horizon Europe interTwin project is developing a highly generic yet powerful Digital Twin Engine (DTE) to support interdisciplinary Digital Twins (DT). Comprising thirty-one high-profile scientific partner institutions, the project brings together infrastructure providers, technology providers, and DT use cases from Climate Research and Environmental Monitoring, High Energy and...
Lambousa is a 25-meter long wooden boat the type of liberty, built in 1955 in Greece. It was registered in Cyprus in 1965 and was used as a fishing trawler until 2004, when it was withdrawn according to EU Fishing Policy (EU Directive 2008/56/EC). The boat was preserved in the sea, as a monument of the local cultural heritage by the Municipality of Limassol. In 2020, the boat was dry docked...
Last year, we introduced Beskar cloud - an open-source community around deploying and maintaining OpenStack cloud on top of Kubernetes cloud. Since then, we have successfully built two OpenStack sites and seamlessly transitioned users from our original OpenStack instance to the new environment built on Beskar Cloud.
In this presentation, we aim to provide an overview of our progress...
The Global Fish Tracking System (GFTS) is a use case from the European Space Agency's DestinE Platform. It leverages the Pangeo software stack to enhance our understanding of fish habitats, and in particular Seabass and Pollack. By addressing a data gap highlighted by the International Council for the Exploration of the Sea (ICES), the project combines various data sources, including data from...
Onedata[1] is a high-performance data management system with a distributed, global infrastructure that enables users to access heterogeneous storage resources worldwide. It supports various use cases ranging from personal data management to data-intensive scientific computations. Onedata has a fully distributed architecture that facilitates the creation of a hybrid cloud infrastructure with...
The DT-GEO project (2022-2025), funded under the Horizon Europe topic call INFRA-2021-TECH-01-01, is implementing an interdisciplinary digital twin for modelling and simulating geophysical extremes at the service of research infrastructures and related communities. The digital twin consists of interrelated Digital Twin Components (DTCs) dealing with geohazards from earthquakes to volcanoes to...
CEDAR is a brand new Horizon Europe projects whose key goal is to develop methods, tools, and guidelines to digitise, protect, and integrate data to address significant issues like corruption, aligning with the European Strategy for Data and the development of Common European Data Spaces (CEDS), and the European Data Act. This will lead to improved transparency and accountability in public...
The increase in the volume of Earth Observation (EO) data in the past decade has led to the emergence of cloud-based services in recent years. Copernicus data and services have provided several EO and Earth Modeling data to European Citizens. Data acquired from Sentinel satellites is made available to the end users through the [Copernicus Data Space Ecosystem][1], providing free access to...
Contemporary HPC and cloud-based data processing is based on complex workflows requiring close access to large amounts of data. OpenEO process graphs allow users to access data collections and create complex processing chains. Currently OpenEO can be accessed via one of the clients in JavaScript, R, or Python. Direct access to data is provided via Spatio Temporal Asset Catalogues (STAC). As...
Digital Twins provide a virtual representation of a physical asset enabled through data and models. They can be used for multiple applications such as real-time forecast of system dynamics, system monitoring and controlling, and support to decision making. Recent tools take advantage of the huge online volume of data streams provided by satellites, IoT sensing and many real-time surveillance...
In the climate domain, the Coupled Model Intercomparison Project (CMIP) represents a collaborative framework designed to improve knowledge of climate change with the important goal of collecting output from global coupled models and making them publically available in a standardized format. CMIP has led to the development of the Earth System Grid Federation (ESGF), one of the largest-ever...
Frontier and Summit, two of the largest supercomputers in the world, are hosted at the Oak Ridge Leadership Computing Facility (OLCF), and managed on behalf of the US Department of Energy (USDOE). They are also counted among “leadership class” systems in the world offering capability computing that accommodate modeling and simulations as well as data analytics and artificial intelligence...
The term “digital twin” has been used to designate 3D models of physical cultural artefacts to which additional information might be added. If the 3D model consisted in a point cloud, as in the case of generating it via scanning, such information was attached to its points or regions as a sort of Post-it, thus creating so-called “augmented objects”. When, instead, CAD systems are used to...
This talk introduces a significant Dutch initiative designed to transform the landscape of data access and analysis for all research fields, using the [ODISSEI metadata portal][1] as a specific example for the social sciences and humanities (SSH) community. Our integrated workflow begins with the Data Access Broker (DAB), developed by SURF, which standardizes data access requests and data...
Equitable flood risk management is contingent upon understanding the evolution of floods and their impacts on different groups in society. While rapid, open-source, physics-based flood and impact models offer valuable insights, their complexity often limits accessibility for decision-makers lacking technical expertise. Digital twins for flood risk management can address this issue by...
A large portion of datasets in the Social Science and Humanities (SSH) community is sensitive, for instance for privacy or copyright reasons. The Dutch national infrastructures for the social sciences and humanities, ODISSEI and CLARIAH, collaborate with the Dutch NREN SURF in the development of an integrated workflow to find, request and analyse sensitive data.
In the ODISSEI Portal,...
One of the main benefits of modern radio astronomy, its ability to collect more higher-resolution and wider-bandwidth data from more and more antennas is now also starting to become one of its greatest problems. The advent of cutting-edge radio telescopes, such as MeerKAT, a precursor to the Square Kilometre Array (SKA), has made it impractical to rely on the traditional method of storing the...
Climate Extreme Events and their impacts are getting a lot of attention lately, because their occurrence, severity and spatial coverage are increasing and will likely increase further toward mid and end of century. Many countries are experimenting significant impact of those climate extremes. It becomes more and more important to better assess the change of characteristics of climate extremes,...
Introduction
The digital twin concept is gaining traction in research, demanding substantial computational power for simulations. Sano Centre for Computational Medicine, in collaboration with ACC Cyfronet AGH, is actively developing tools to optimize high performance computing (HPC) resources. Our focus is on providing scientists with a user-friendly toolkit for seamless model...
Most machine learning models require a large amount of data for efficient model training. This data is usually expected to be placed in one centralized spot. When enough data is available but not located in one spot, such as data collected by edge devices, sharing data with a central server is necessary. Sharing a large amount of data introduces several issues: data might not be feasible to...
Significant obstacles to the wellbeing of coastal populations arise from the fast growth of megacities along coastal regions, which is driven by urbanisation and made worse by the effects of climate change. Coastal erosion poses a particular threat to the Dakar region in West Africa, given its vast 133-kilometer coastline. The purpose of this study is to measure the level of physical...
Currently, data processing and analysis predominantly occur within data centers and centralized computing environments, with 80% of this activity centralized and only 20% happening through intelligent, connected devices. Additionally, merely one out of four European companies leverages cloud technologies, and non-EU entities control 75% of Europe's cloud market.
To leverage the shift...
CEDAR is a brand new Horizon Europe projects whose key goal is to develop methods, tools, and guidelines to digitise, protect, and integrate data to address significant issues like corruption, aligning with the European Strategy for Data and the development of Common European Data Spaces (CEDS), and the European Data Act. This will lead to improved transparency and accountability in public...
The heightened focus on global warming and climate change has prompted a substantial shift towards green energy technologies, which are crucial in shaping electricity generation capacity. Turkey has actively been investing in renewable energy sources, such as wind and solar, to reduce its dependency on imported fossil fuels and improve its energy security. This study investigates the future of...
At Deutscher Wetterdienst (DWD) the SINFONY project has been set up to develop a seamless ensemble prediction system for convective-scale forecasting with forecast ranges of up to 12 hours. It combines Nowcasting (NWC) techniques with numerical weather prediction (NWP) in a seamless way for a number of applications. Historically the operational NWC and NWP forecasts are generated on separate...
This poster offers a straightforward, step-by-step approach to leveraging Kubernetes for scientific tasks. Kubernetes provides robust features for deploying and managing containerized applications across distributed environments. The guide begins with containerizing scientific computations and proceeds to prepare for deployment by configuring essentials such as pods, deployments, services,...
Molecular Dynamics (MD) simulations provide unique insight into the structural and dynamics of biological macromolecules, contingent upon their accuracy. Two primary determinants of accuracy include the precision of the MD model, particularly the molecular mechanics force field, and the depth of the sampling performed for the simulated system.
The purpose of the conventional force fields is...
Global sea level anomalies (SLA) are crucial for climate monitoring and have traditionally been studied using spatial altimetry for the past three decades. This research introduces a novel method to refine historical sea level reconstructions by integrating Scattering Covariance Analysis (SCA) with traditional tide gauge data, which spans over a century. This innovative approach allows for an...
Virtual Organization Membership Service (VOMS) servers have long been used for authentication and authorization based on X509 Proxy Certificates within scientific collaborations. However, the trend is shifting towards token-based Identity and Access Management (IAM) systems. The VOMS Attribute Authority (VOMS-AA) service seamlessly integrates with existing VOMS clients by emulating the...
The energy consumption behavior of French households presents a complex puzzle, influenced by an interplay of socio-economic, environmental, and technological factors. This article introduces an innovative approach aimed at untangling this puzzle by integrating multiple methods to model energy consumption behavior. Our goal is to comprehend the gaps between needs and energy consumption,...
In the context of Artificial Intelligence (AI), the evolution of computing paradigms from centralized data centers to the edge of the network heralds a transformative shift in how AI applications are developed, deployed, and operated. Specifically, the edge computing paradigm is characterized by processing data directly in the devices where it is collected, such as smartphones, wearables, and...
The landscape is a complex system characterized by multiple layers of interrelationships. Anthropic intervention, defined as deliberate actions to alter natural environments, is inherently tied to understanding the contextual state of the territory. In landscape projects, the soil acts as a fundamental interface, possessing specific spatial and environmental dimensions where interactions...
Onedata continues to evolve with subsequent releases within the 21.02 line, enhancing its capabilities and solidifying its position as a versatile distributed data management system. Key improvements include the rapid development of the automation workflow engine, the maturation of the S3 interface, and powerful enhancements to the web UI for a smoother user experience and greater control over...
As the volume and complexity of scientific data continue to grow, the efficient management of data across its entire lifecycle has become paramount. In this context, we have decided to create a system for CEITEC Research Institute, which would allow emerging data sets to be registered and managed, using the existing Onedata system as the data layer.
At its core, Onedata oversees the entire...
In recent years, modern life sciences research underwent a rapid development driven mainly by the technical improvements in analytical areas leading to miniaturization, parallelization, and high throughput processing of biological samples. This has driven the growth and number of experimental datasets immensely, requiring scalable platforms for large scale data analysis beyond the capabilities...
interTwin co-designs and implements the prototype of an interdisciplinary Digital Twin Engine (DTE) - an open-source platform based on open standards, that offers the capability to integrate with application-specific Digital Twins (DTs). Its functional specifications and implementation are based on a co-designed interoperability framework and conceptual model of a DT for research - the DTE...
The AI4EOSC project will deliver an enhanced set of services for the development of Artificial Intelligence (AI) models and applications for the European Open Science Cloud (EOSC). One of the scenarios making use and validating the platform is related to enhancement of the integrated plant protection (agriculture sector).
The experiment aims to enhance capabilities of currently used disease...
Climate change and transformation is urging scientific communities and decision makers around the world to better understand and handle such systemic shift and its consequences at different levels and to instill a gradual societal adaptation and change into the population.
The availability of tailored and robust information about current climate and climate change at local, regional or...
The LifeWatch ERIC Metadata Catalogue is a centralized platform for discovering and disseminating data and services, ensuring equitable access to information and promoting inclusivity in biodiversity and ecosystem research and conservation efforts. LifeWatch ERIC Metadata Catalogue was designed to tackle several challenges, critical for biodiversity and ecosystem research:
- **Data &...
NBIS (National Bioinformatics Infrastructure Sweden) is one of the largest research infrastructures in Sweden. With approximately 120 multidisciplinary experts positioned across Sweden's major universities, NBIS constitutes the SciLifeLab Bioinformatics platform and represents Sweden within ELIXIR, the European infrastructure for biological information.
NBIS's team is composed of...
Through the National Recovery and Resilience Program (NRRP), Italy has funded the constitution of an unprecedented national infrastructure targeting digital resources and services for science and industry. Specifically, the National Center on HPC, Big Data and Quantum Computing (“ICSC”) is an initiative funded with €320M to evolve existing public state-of-the-art network, data, and compute...
This presentation explores how the data, storage and compute Solutions and Services provided by EGI might be transformed into an EGI Research Commons.
The publication by the RDA Global Open Research Commons Working Group in October, 2023 of the Global Open Research Commons International Model (GORC Model) made available a well researched and fully featured template for a Research Commons. ...
Document structuring is a fundamental aspect of information management, involving the categorization and organization of documents into logical and physical structures. This presentation explores the benefits and challenges associated with document structuring, focusing on the distinctions between physical and logical structures, metadata and content, as well as addressing the implications for...
The China Science and Technology Cloud (CSTCloud) stands as one of the key national research e-infrastructures in China. Sponsored by the Chinese Academy of Sciences, CSTCloud aims to empower scientists with efficient and integrated cloud solutions across domains and disciplines. Through the integration of big data, cloud computing, and artificial intelligence, CSTCloud delivers robust data...
In order to fulfil its “catalysing and leveraging role” in the development of European Research Infrastructures (RIs) and e-Infrastructures, the European Commission (EC) introduced mechanisms in the previous Framework Programme to provide researchers who participated in EC-funded projects with access to European RIs. Access to “depletable” resources, including physical and remote access to...
The Global Open Science Cloud (GOSC) Initiative aims to connect worldwide research infrastructures and stakeholders to enable innovative scientific discovery in addressing global challenges. Since its inception, GOSC has embraced a diverse array of stakeholders, fostering partnerships with researchers, institutions, organizations, funding agencies, policymakers, governments, industry players,...
Significant investments have been made by the South African government in efforts to support the e-research environments across multiple disciplines in the South African research landscape. This has given birth to the National Integrated Cyberinfrastructure Systems (NICIS) which currently supports communication networks, high performance computing (HPC), data storage and research data...
In an era where web search serves as a cornerstone driving the global digital economy, the necessity for an impartial and transparent web index has reached unprecedented levels, not only in Europe but also worldwide. Presently, the landscape is dominated by a select few gatekeepers who provide their web search services with minimal scrutiny from the general populace. Moreover, web data has...
Datacubes form an acknowledged cornerstone for analysis-ready data – the
multi-dimensional paradigm is natural for humans and easier to handle than
zillions of scenes, for both humans and programs. Today, datacubes are common in
many places – powerful management and analytics tools exist, with both
datacube servers and clients ranging from simple mapping over virtual globes and
Web...
FAIR EVA is a tool that allows checking the level of adoption of the FAIR principles for digital objects. It provides an API for querying via a persistent identifier and a web interface to interpret the offered results. These results assess, based on a series of indicators and automated technical tests, whether certain requirements are met. Additionally, FAIR EVA not only aims to evaluate and...
Keeping a research community updated with all the most relevant and impactful research and information is a never-ending task. With over 4 million articles published in 2021, growing rapidly at over 5% per year[1], it’s hard for anyone to keep up with a given topic.
Other academic sharing and networking platforms rely on users to add and share papers within specific groups, placing a heavy...
The increasing accessibility of quantum computing technology has opened up new avenues for exploring their potential applications in various scientific fields such as artificial intelligence, manufacturing, and finance. Many research scientists heavily depend on cloud computing infrastructures for their investigations. However, accessing actual quantum hardware resources, often located...
[OSCAR][1] is an open-source serverless framework to support the event-driven serverless computing model for data-processing applications. It can connect to an object storage solution where users upload files to trigger the execution of parallel invocations to a service responsible for processing each file. It also supports other flexible execution approaches such as programmatic synchronous...
Building simulations for the Virtual Human Twin (VHT) is a challenging and complex task. In order to contemplate practical use of the VHT concept, we require an inclusive ecosystem of digital twins in healthcare, a federated cloud-based repository for gathering human digital twin resources such as models, data sets, algorithms and practices, along with a simulation platform to facilitate the...
The EGI Cloud Container Compute is a container orchestrator that facilitates the deployment of containerised applications. Containers offer the advantage of having the entire software and runtime environment in a single package, which can simplify the deployment process. However, deploying a containerised application can be challenging due to the need to install a container orchestrator. This...
Federated learning aims to revolutionize the scene when it comes to training artificial intelligence models, in particular deep learning and machine learning with distributed data. Emerging as a privacy preserving technique, it allows to train models without centralizing or sharing data, preserving their integrity and privacy. Moreover, different studies show that in some cases it also offers...
SPECTRUM aims to deliver a Strategic Research, Innovation and Deployment Agenda (SRIDA) and a Technical Blueprint for a European compute and data continuum.
(abstract to be completed)
Modern life sciences research has undergone a rapid development driven mainly by the technical improvements in analytical areas leading to miniaturization, parallelization, and high throughput processing of biological samples. This has led to the generation of huge amounts of experimental data. To meet these rising demands, the German Network for Bioinformatics Infrastructure (de.NBI) was...
The Hungarian Research Network's (HUN-REN) Data Repository Platform (ARP) is a national repository infrastructure that was opened to the public in March 2024. With ARP, we aim to create a federated research data repository system that supports the data management needs across its institutional network. Implementing ARP is our first step towards establishing an EOSC compliant research...
PITHIA-NRF (Plasmasphere Ionosphere Thermosphere Integrated Research Environment and Access services: a Network of Research Facilities) is a project funded by the European Commission’s H2020 programme to build a distributed network of observing facilities, data processing tools and prediction models dedicated to ionosphere, thermosphere and plasmasphere research. One of the core components of...
The advancement of EOSC promotes a research paradigm more reproducible and verifiable in response to the growing complexity and interdisciplinarity of modern research, necessitating an unprecedented level of collaboration and data sharing. In line with this, federated data infrastructures, like the Blue-Cloud project, have been established, integrating marine data sources across Europe...
Many scientific problems, such as environmental research or cancer diagnosis, require large data volumes, advanced statistical or AI models, and distributed computing resources.
To help domain scientists conduct their research more effectively they need to reuse resources like data, AI models, workflows, and services from different sources to address complex challenges. Sharing resources...
Within the framework of the European data strategy (European Commission. European Data Strategy (2020), (eu/info/strategy/priorities-2019-2024/europe-fit-digital-age/european-data-strategy_it), the establishment of European data spaces per specific domains (e.g., the European Health Data Space - EHDS) have been proposed with the concomitant strengthening of regulations for governing...
The primary objective of the CoastPredict Programme is to provide decision-makers and coastal communities with integrated observing and predicting systems to manage risk in the short-term and plan for mitigation and adaptation in the longer-term context of future climate and ocean change.To accomplish the CoastPredict goals, the GlobalCoast initiative has been launched to create globally...
The [ReproVIP][1] project aimed at evaluating and improving the reproducibility of scientific results obtained with the [Virtual Imaging Platform][2] (VIP) in the field of medical imaging. ReproVIP focused on a reproducibility level ensuring that the code produces the same result when executed with the same set of inputs and that an investigator is able to reobtain the published results. We...
We present updates about the mytoken service, giving a short overview of the mytoken service, its idea and concept, and then focusing on the newest developments and future work.
These include the new notification feature, which allows user to obtain email notifications for various things, e.g. to be notified before a mytoken expires to easily create a new one. Also mytoken expirations can...
Abstract
The Cloud Computing Platform (CCP), developed under the aegis of D4Science [1], an operational digital infrastructure initiated 18 years ago with funding from the European Commission, represents a significant advancement in supporting the FAIR (Findable, Accessible, Interoperable, and Reusable) principles, open science, and reproducible data-intensive science. D4Science has...
To conduct research and foster innovation, collaboration and resource sharing have become the primary focus for research communities and national e-infrastructures. It can reduce duplication of work, leading to reduced costs, while opening possibilities for achieving common goals by combining data, skills, and efforts. However, offering such functionalities brings complex challenges to...
The [iMagine][1] platform utilizes AI-driven tools to enhance the processing and analysis of imaging data in marine and freshwater research, supporting the study of crucial processes for ocean, sea, coastal, and inland water health. Leveraging the European Open Science Cloud ([EOSC][2]), the project provides a framework for developing, training, and deploying AI models. To effectively achieve...
Establishing and Verifying Trust for Data Products and Processing
Motivation and Challenge
In today's infrastructures, the collection, exchange and continues processing of geospatial data takes place at pre-defined network endpoints of a spatial data infrastructure. Each participating operator hosts a predefined static functionality at a network endpoint. Some network endpoints of an...
Open Science plays an important role to fully support the whole research process, which also includes addressing provenance and reproducibility of scientific experiments. Indeed, handling provenance at different levels of granularity and during the entire analytics workflow lifecycle is key for managing lineage information related to large-scale experiments in a flexible way as well as...
The release of oil into marine environments can result in considerable harm to coastal ecosystems and marine life, while also disrupting various human activities. Despite advances in maritime safety, there has been a noticeable uptick in spill occurrences throughout the Mediterranean basin, as documented by the European Maritime Safety Agency's Cleanseanet program. Precisely predicting the...
Cloud computing has revolutionized how we store, process, and access data, offering flexibility, scalability, and cost-effectiveness. On the other hand, High Performance Computing (HPC) provides unparalleled processing power and speed, making it an essential tool for complex computational tasks. However, leveraging these two powerful technologies together has been a challenge.
In recent...
The Secure Shell (SSH) Protocol is widely recognized as the de-facto standard for accessing remote servers on the command line, across a number of user cases, such as: remote system administration, git operations, system backups via rsync, and high-performance computing (HPC) access.
However, as federated infrastructures become more prevalent, there is a growing demand for SSH to operate...
In recent years, the escalation of Extreme Weather Events (EWEs), including storms and wildfires, due to Climate Change has become a pressing concern. This exacerbation is characterised by increased intensity, frequency as well as the duration of such events.
Machine Learning (ML) presents a promising avenue for tackling the challenges associated with predicting global wildfire burned...
Account linking may be usefule at different places in the AAI
Architecture. Over the past years, we have seen account linking at the
Community-AAI, where multiple Home-Organisation logins may be used to log
in to a single account at the Community. This typically allows linking
attributes of services such as ORCID or Google. More recently this type
of account linking is being integrated...
Open Policy Agent (OPA) is an open-source, general-purpose authorization engine that provides a high-level declarative language, called Rego, which allows the expression of policies as code, using a combination of data manipulation and logical operators. OPA takes policy decisions by evaluating the query input against policies and data. The OPA RESTful APIs allow the service to be integrated...
Researchers exploiting artificial intelligence (AI) techniques like machine learning and deep learning require access to specialized computing and storage resources. Addressing this need, the AI4EOSC project is providing an easy to use suite of services and tools within the European Open Science Cloud (EOSC). This platform aims to facilitate the development of AI models, including federated...
Managing and monitoring AI models in production, also known as machine learning operations (MLOps), has become essential in our days, resulting in the need for highly reliable MLOps platforms and frameworks. In the AI4EOSC project in order to provide our customers with the best available ones, we reviewed the field of open-source MLOps and examined the platforms that serve as the backbone of...
With the expansion of applications and services based on machine learning (ML), the obligation to ensure data privacy and security has become increasingly important in recent times. Federated Learning (FL) is a privacy-preserving machine learning paradigm introduced to address concerns related to data sharing in centralized model training. In this approach, multiple parties collaborate to...
The AI4EOSC project will deliver an enhanced set of services for the development of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) models and applications for the European Open Science Cloud (EOSC). One of the components of the platform is the workload management system that manages execution of compute requests on different sites on EGI Federated Cloud.
To be...
Marine and coastal ecosystems (MCEs) play a vital role in human well-being, contributing significantly to Earth’s climate regulation and providing ecosystem services like carbon sequestration and coastal protection against sea level rise. However, they face serious threats, including one deriving from the interaction between multiple human stressors (e.g. pollution) and pressures more related...
In recent years, Large Language Models (LLMs) have become powerful tools in the machine learning (ML) field, including features of natural language processing (NLP) and code generation. The employment of these tools often faces complex processes, starting from interacting with a variety of providers to fine-tuning models of a certain degree of appropriateness to meet the project’s needs.
This...
The Pangeo community is eager to demonstrate the Pangeo@EOSC service, derived from a collaboration between Pangeo and the EGI-ACE and C-SCALE projects. Offering Pangeo notebooks as well as Machine Learning (both Pytorch and TensorFlow) and Data Science notebooks (R & Julia), Pangeo@EOSC provides an integrative platform within the EOSC for scientific data analysis. Our demonstration will...
Software engineering best practices favour the creation of better quality projects, where similar projects should originate from similar layout, also called software templates. This approach greatly enhances project comprehension and reduces developers’ effort in the implementation of high-quality code. As an example, reproducibility and reusability are the key aspects of this software...
As one of the largest pan European e-Infrastructures EUDAT delivers data management support through an integrated suite of services and resources that focus on scientific data management and embrace the FAIR principles. The EUDAT Collaborative Data Infrastructure (or EUDAT CDI), a membership organisation, is a network of European data and computing centres, as well as research organisations,...
