The principle of open access responds to the high constitutional values of promoting the development of culture and scientific and technical research, as well as protecting academic freedom.

In particular, it aims to:

• enhance the diffusion of scientific research on an international scale
• compress the rate of duplication of scientific studies
• strengthen interdisciplinary research, the transfer of knowledge to businesses and transparency towards citizens
• make the use of scientific contributions for educational purposes more efficient
• guarantee the preservation of scientific production over time

“The advantages of Open Access, in terms of greater circulation and sharing of knowledge and their impact on an economic and social level, are recognized and supported by the policies of the European Commission, by international and national research funding agencies, by regulatory provisions national, as well as numerous declarations of principle by international organizations and bodies.“

healitalia@gmail.com

Open science is a strategic priority for the European Commission and the challenge for Europe is to ensure that open science becomes the modus operandi for all researchers.
Open science is about sharing knowledge, data and tools in the research and innovation (R&I) process as quickly as possible, in open collaboration with all relevant knowledge actors, including academia, industry, public authorities, end users, citizens and society in general.

Open science helps improve the quality, efficiency and impact of R&I, increase responsiveness to the challenges faced by society and increase society’s trust in the scientific system.

Since 2016, the Commission has organized its open science policy according to eight “ambitions”: 

• Open Data: FAIR (Findable, Accessible, Interoperable and Reusable data) and open data sharing should become the default for EU-funded scientific research results.
• European Open Science Cloud (EOSC): a “federated research data infrastructure ecosystem” that will enable the scientific community to share and process publicly funded research results and data across scientific borders and sectors.
• Metriche di nuova generazione (New Generation Metrics): new indicators must be developed to complement conventional indicators for research quality and impact, so as to reward open science practices.
• Future of academic communication (Scholarly communication): all peer-reviewed scientific publications should be freely accessible and early sharing of different types of research results should be encouraged.
• Rewards: research career evaluation systems should fully recognize open science activities.
• Integrità della ricerca (Research integrity): all publicly funded research in the EU should comply with agreed research integrity standards.
• Istruzione e competenze (Education and skills): all scientists in Europe should have the necessary skills and support to apply open scientific research practices.
• Scienza dei cittadini (Citizen science): citizens can make a significant contribution and be recognized as valid producers of European scientific knowledge.

healitalia@gmail.com

“Open science is an approach to the scientific process based on collaboration, open and timely sharing of results, ways of disseminating knowledge based on networked digital technologies and transparent methods of validation and evaluation of research products. Open science increases the effectiveness of collaboration and the reproducibility of research results. It increases the collaborative potential with the possibility of accessing data and reusing them for new analyses, including interdisciplinary ones, and for scientific teaching, as well as the usability of scientific knowledge, in a transparent way, for the benefit of society.”

• share methodologies, knowledge, processes and tools in an open and transparent way, from the early stages of the scientific discovery process
• transparency in the experimental methodology, in the observation of phenomena and in the collection of data
• reliability and public reusability of scientific data and research products
• public accessibility and transparency of scientific communication processes
• use and sharing of web-based tools to facilitate scientific collaboration

“Open science is defined as an inclusive construct that combines various movements and practices aiming to make multilingual scientific knowledge openly available, accessible and reusable for everyone, to increase scientific collaborations and sharing of information for the benefits of science and society, and to open the processes of scientific knowledge creation, evaluation and communication to societal actors beyond the traditional scientific community. It comprises all scientific disciplines and aspects of scholarly practices, including basic and applied sciences, natural and social sciences and the humanities, and it builds on the following key pillars: open scientific knowledge, open science infrastructures, science communication, open engagement of societal actors and open dialogue with other knowledge systems.”

healitalia@gmail.com

Mapping the omics landscape of clinical to molecular environment, Spoke 1 will define the molecular markers predictors of adverse or protective events underlying the molecular mechanisms of multifactorial diseases, which will offer potential novel therapeutic targets and clusters of prognostic factors.

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Through an efficient data management and development of advanced methods, algorithms, and machine learning approaches integrating health big data, Spoke 2 will establish a model of a collaborative data and analysis platform in full compliance with the Italian privacy legislation for enabling the processing of predictive computer models on large volumes of digital heterogeneous data, opening new avenues for modern healthcare and personalized medicine.

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Implementing the computational tools in the clinical practice supported by the integrated analysis of digital data including bioimaging, omics and data derived from medical devices, performed using computational tools (AI and network medicine), Spoke 4 will deliver new, cost-effective, evidence-based, predictive risk-based and non-invasive diagnostic pathways for faster, earlier, more precise, accessible, and affordable early detection and screening of mono- and polygenic diseases and cancer.

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Validating new targets and therapeutic effectors, determining the cellular and molecular targets and completing the analysis in pre-clinical settings, spoke 5 will define the drug candidate and drug action mechanisms at the cellular and molecular level, establishing reproducible and quick pipelines for the preclinical validation of innovative therapies against monogenic, polygenic diseases and cancer.

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Spoke 6 will develop a technological toolbox of devices for applications both in precision diagnostics including biosensors, electronic and optical devices, integrated with microfluidics, and therapy such as robotic systems and development of nanotherapeutic agents for minimally invasive treatment, design and fabrication of strategies to selectively direct a drug towards a specific organ or tissue or cellular system, and to obtain the release/maintenance of the therapeutic agent at the target site for an extended period.

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Spoke 7 aims at predicting more accurately which prevention strategies/interventions for a particular disease will work in which groups of people and will assist in establishing public health recommendations for specific subgroups based on phenotype, genotype and the exposome. The proposed research aims at identifying determinants of the individual risk to develop diseases with a high impact on the health status of a population, such as cardiovascular, cancer, or endocrine-metabolic diseases

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This spoke aims on the clinical validation and implementation of precision medicine approaches, mainly based on data currently available in the participating centers or being generated by the applicants in this Spoke, and with readiness to exchange and apply emerging knowledge by interactions with all other Spokes.

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Spoke 3 will develop advanced computational and animal models recapitulating the complex evolution of a cell even following an action of an external agent including compounds and radiation, which will support clinical decisions for the management of patients affected by monogenic and polygenic diseases including those dependent from specific mutations, and cancer, thus avoiding radiation toxicity to resistant patients and reducing the treatment costs.

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