| D4Science

Data Analytics Framework

The Data Analytics Framework on D4Science is a comprehensive solution designed to support advanced data analysis and research across various scientific domains. It integrates a suite of powerful tools and platforms, providing researchers with the necessary resources to perform complex data analyses, collaborate effectively, and manage data securely. This product leverages the capabilities of D4Science to offer a seamless and efficient data analytics experience.

Marine science community

This community brings together a wide range of stakeholders, from scientists and data managers to educators and policy makers, all united by their commitment to sustainable fisheries and marine conservation. This vibrant network has been built through several EU-funded projects and initiatives that address diverse challenges in marine resource management.

4910 40

Humanities community

This multifaceted community aggregates scholars, researchers, data scientists, and educators working together to apply digital technologies and data management techniques to various disciplines within the humanities.

1700 23

DataMiner

Data Analytics

DataMiner addresses the computational and analytical needs of researchers, providing a platform f

Dr. Gianpaolo Coro

Stakeholder Engagement and Dissemination Manager

Responsible for the building and maintenance of relationships with external stakeholders, including research communities, funding agencies, and other relevant organizations. This also includes disseminating information about D4Science activities, services, and research products to promote its use and impact through various communication channels.

Dr. Massimiliano Assante

Head of Management and Operations

Provides overall leadership and strategic direction ensuring the effective operational management and strategic execution of D4Science's infrastructure activities. This includes overseeing all aspects of service delivery, day-to-day operations, research, development, testing, and release activities related to the services offered by the infrastructure, ensuring alignment with D4Science mission and vision. He is responsible for the performance of the division and for ensuring the efficient and effective delivery of services to users.

Implementation of the Virtual Research environment for the Earth’s Critical Zone within the ITINERIS PNRR project

The Critical Zone (CZ) VRE, developed as part of the ITINERIS PNRR project, aims to create a collaborative research environment for scientists studying the Earth's Critical Zone.

Environmental Modeling and Data Management

Forecasting the ongoing invasion of Lagocephalus sceleratus in the Mediterranean Sea

Invasive species from the Suez Canal, also named "Lessepsian species", often have an ecological and financial impact on marine life, fisheries, human well-being and health in the Mediterranean Sea.

Invasive Species Modeling and Management

Unlocking Ethical Social Mining: The Role of the SoBigData Catalogue

The SoBigData Catalogue is an extensive repository hosted on the D4Science platform, designed to support social mining and AI research. It integrates a wide array of datasets, algorithms, technologies, methods, and libraries, providing researchers with the tools they need to conduct advanced data science experiments. This integration is crucial for addressing complex societal challenges through data-driven insights.

Social Data Science

Developing a collection of Global-scale parameters for ecological models by promoting open science practices

We produced a collection of environmental, geophysical, and other marine-related data for marine ecological models and ecological-niche models. It consists of 2132 raster data for 58 distinct parameters at regional and global scales in the ESRI-GRID ASCII format.

Open Science and Reproducible Research in Ecological Modeling