BeYond-COVID (BY-COVID) aims to provide comprehensive open data on SARS-CoV-2 and other infectious diseases across scientific, medical, public health and policy domains. It will strongly emphasise mobilising raw viral sequences, helping to identify and monitor the spread of SARS-CoV-2 variants. The project will further accelerate access to SARS-CoV-2 and COVID-19 and linking patient and research data.
\nTo ensure interoperability of national and global efforts, BY-COVID will enable federated data analysis compliant with data protection regulations, harmonise and manage metadata and sample identifiers, and facilitate long-term cataloguing.
\nBY-COVID will build on the One-Health approach, exploit and contribute to the European Open Science Cloud and work closely with the ISIDORe project funded through HORIZON Europe.
\nThe project will integrate established national and European infrastructures with ELIXIR, BBMRI, ECRIN, PHIRI and CESSDA. It will build on existing efforts, such as the COVID-19 Data Platform and the Versatile Emerging infectious disease Observatory project (VEO), maximising efficiency. It will also develop synergies with the European Health Data Space.
\nIn an unprecedented and unique interdisciplinary effort, BY-COVID will bring together 53 partners from 19 countries and stakeholders from the biomedical field, hospitals, public health, social sciences and humanities.
\nUltimately, it will improve European readiness for future pandemics, enhance genomic surveillance and rapid-response capabilities. In addition, BY-COVID serves as a demonstrator of interdisciplinary work across country borders. The project’s outputs will allow scientists across multiple domains, including SMEs and industry, to access varied data with the potential to generate new knowledge on infectious diseases.<\/p>\n","protected":false},"featured_media":11039,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-13311","projects","type-projects","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"title":"BeYond COVID","acronym":"BY-COVID","project_uuid":"4fb63d4c-2c3c-11ec-9c2d-506b8da9258c","start_date":"01\/10\/2021","end_date":"30\/09\/2024","funder":"Horizon Europe Framework Programme (HORIZON) ","partners":"\n
| Nome<\/th>\n | Nazione<\/th>\n | Ruolo<\/th>\n <\/tr>\n\n |
|---|---|---|
| European life-sciences Infrastructure for biological Information<\/a><\/td>\n | United Kingdom<\/td>\n | Coordinator<\/td>\n <\/tr>\n\n |
| Barcelona Supercomputing Center<\/a><\/td>\n | Spain<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| FUNDACIO CENTRE DE REGULACIO GENOMICA<\/a><\/td>\n | Spain<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| EATRIS ERIC<\/a><\/td>\n | The Netherlands<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| EUROPEAN CLINICAL RESEARCH INFRASTRUCTURE NETWORK<\/a><\/td>\n | France<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| European Molecular Biology Laboratory<\/a><\/td>\n | Germany<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| EUROPEAN RESEARCH INFRASTRUCTURE ON HIGHLY PATHOGENIC AGENTS<\/a><\/td>\n | Belgium<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Euro-BioImaging<\/a><\/td>\n | Finland<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Fraunhofer Institute for Solar Energy Systems ISE<\/a><\/td>\n | Germany<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| INFRAFRONTIER GMBH<\/a><\/td>\n | Germany<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Instituto Aragon\u00e9s de Ciencias de la Salud<\/a><\/td>\n | Spain<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| INSTRUCT-ERIC<\/a><\/td>\n | United Kingdom<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Istituto Nazionale Malattie Infettive "Lazzaro Spallanzani"<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Istituto Zooprofilattico Sperimentale delle Venezie<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Gesundheit \u00d6sterreich GmbH<\/a><\/td>\n | Austria<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Finnish Institute for Health and Welfare<\/a><\/td>\n | Finland<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| E\u00f6tv\u00f6s Lor\u00e1nd University<\/a><\/td>\n | Hungary<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Data Archiving and Networked Services<\/a><\/td>\n | The Netherlands<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Czech Social Science Data Archive<\/a><\/td>\n | Czech Republic<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| ADP - Slovenian Social Science Data Archives <\/a><\/td>\n | Slovenia<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Central European Institute of Technology<\/a><\/td>\n | Czech Republic<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Centro Nacional de Biotecnolog\u00eda<\/a><\/td>\n | Spain<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Consortium of European Social Science Data Archives<\/a><\/td>\n | Norway<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| CONSORZIO INTERUNIVERSITARIO RISONANZE MAGNETICHE DI METALLO PROTEINE<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Consejo Superior de Investigaciones Cientificas<\/a><\/td>\n | Spain<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Danmarks Tekniske Universitet <\/a><\/td>\n | Denmark<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Εθνικό Κέντρο Κοινωνικών Ερευνών<\/a><\/td>\n | Greece<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Empirica<\/a><\/td>\n | Germany<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Erasmus Universitair Medisch Centrum Rotterdam<\/a><\/td>\n | The Netherlands<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| European University Institute<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Lygature<\/a><\/td>\n | The Netherlands<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Microbial Resource Research Infrastructure<\/a><\/td>\n | Portugal<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| IRCCS OSPEDALE POLICLINICO SAN MARTINO<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Palack\u00fd University Olomouc<\/a><\/td>\n | Czech Republic<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Rijksinstituut voor Volksgezondheid en Milieu - National Institute for Public Health and the Environment<\/a><\/td>\n | The Netherlands<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Sciensano<\/a><\/td>\n | Belgium<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| SciLifeLab<\/a><\/td>\n | Sweden<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Swiss Institute of Bioinformatics<\/a><\/td>\n | Switzerland<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Tampere University<\/a><\/td>\n | Finland<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| ACADEMISCH ZIEKENHUIS GRONINGEN<\/a><\/td>\n | The Netherlands<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| ACADEMISCH MEDISCH CENTRUM BIJ DE UNIVERSITEIT VAN AMSTERDAM<\/a><\/td>\n | The Netherlands<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| The Arctic University of Norway<\/a><\/td>\n | Norway<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Universit\u00e0 degli Studi di Milano-Bicocca<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| ALBERT-LUDWIGS-UNIVERSITAET FREIBURG<\/a><\/td>\n | Germany<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Universit\u00e0 di Genova<\/a><\/td>\n | Italy<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Univerza v Ljubljani<\/a><\/td>\n | Slovenia<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| University of Manchester<\/a><\/td>\n | United Kingdom<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| University of Nottingham<\/a><\/td>\n | United Kingdom<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| UNIVERSITETET I OSLO<\/a><\/td>\n | Norway<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| University of Oxford<\/a><\/td>\n | United Kingdom<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| University of Tartu<\/a><\/td>\n | Estonia<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Uppsala University<\/a><\/td>\n | Sweden<\/td>\n | Partner<\/td>\n <\/tr>\n\n |
| Vlaams Instituut voor Biotechnologie<\/a><\/td>\n | Belgium<\/td>\n | Partner<\/td>\n <\/tr>\n<\/table>","proj_website":"https:\/\/by-covid.org","project_status":"Completed","project_coordinator":[{"ID":10066,"post_author":"4","post_date":"2025-06-30 17:25:33","post_date_gmt":"2025-06-30 15:25:33","post_content":"Luca Pireddu earned his degree in Computing Science in 2003 from Laurentian University in Sudbury, Canada. Here he also started his research work joining MIRARCO in 2002, where he completed his undergraduate thesis on computational methods to optimize underground mine plans. He later pursued graduate studies at the University of Alberta, Canada, receiving his M.Sc. in Computing Science in 2006 with a thesis on predicting biological pathways by proteome analysis - a project that he continued as a researcher at U. of A. after his studies. After a stint in the private sector, Luca joined CRS4, where he currently works with the Visual and Data-Intensive Computing group. He has coordinated CRS4's participation in several EU, national and regional research projects in the area of novel development and application of data processing, analysis and management techniques to concrete problems in several fields of interest - particularly, bioinformatics, biomedical research and urban computing. He is particularly interested in techniques for facilitating scalability of complex computational scientific workflows, secure and scalable methods to leverage sensitive data collections, and data and workflow re-use through the application of FAIR principles. He represents CRS4 at the Italian nodes of the BBMRI-ERIC and ELIXIR EU Research Infrastructures and at the Data, AI and Robotics (DAIRO) Association (ex BDVA).","post_title":"Luca Pireddu","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"luca-pireddu","to_ping":"","pinged":"","post_modified":"2026-04-05 20:13:32","post_modified_gmt":"2026-04-05 18:13:32","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/luca-pireddu\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}],"team_members":[{"ID":10226,"post_author":"4","post_date":"2025-06-30 17:23:05","post_date_gmt":"2025-06-30 15:23:05","post_content":"Francesca coordinates the digital health research activities on the Visual and Data-intensive Computing Sector at CRS4 (prev. Research Programs Digital Health\/Healthcare Flows). Her research activity spans the opportunities and problems arising from the application of computer science to medicine, working on interoperability, traceability, telemedicine and modelling of data and processes in the clinical context. In her 20 years of research experience she has cultivated ongoing collaborations with public and private organisations, including research institutions, hospitals and industries operating in the health IT sector, with particular attention to the direct application of research results in clinical practice. She holds a Ph.D. in Innovation Sciences and Technologies from the University of Cagliari and a degree in Biomedical Engineering from the University of Genoa. Her present research interests are mainly focused on the modelling of biomedical data and processes, with a particular attention to interoperability and traceability, also in the perspective of the application of the FAIR Principles. In particular, she is currently working: on an integration profile about specimen tracking (SET profile), with the IHE PaLM Technical committee; on the modelling of genetic data through the openEHR formalism, with openEHR International; and a standard under development about provenance information in the biotechnology domain (Standard ISO 23494, ISO Technical Committee 276), with BBMRI-ERIC, the European research infrastructure for biobanking.","post_title":"Francesca Frexia","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"francesca-frexia","to_ping":"","pinged":"","post_modified":"2026-04-05 20:11:18","post_modified_gmt":"2026-04-05 18:11:18","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/francesca-frexia\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10251,"post_author":"4","post_date":"2025-06-30 17:23:36","post_date_gmt":"2025-06-30 15:23:36","post_content":"Simone Leo holds a five-year degree in Electronic Engineering from the University of Cagliari and a Ph.D. in Biomedical Engineering from the same university. From 2003 to 2006 he has worked in the private sector as a system administrator. Since 2006 he has been working at CRS4 as a software engineer and, from 2008, as a researcher. His research interests are mainly focused on distributed computing models, with an emphasis on their applicability to computational biology.","post_title":"Simone Leo","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"simone-leo","to_ping":"","pinged":"","post_modified":"2026-04-05 20:11:45","post_modified_gmt":"2026-04-05 18:11:45","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/simone-leo\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":9986,"post_author":"4","post_date":"2025-06-30 17:26:23","post_date_gmt":"2025-06-30 15:26:23","post_content":"Graduated in Electronic Engineering at the University of Cagliari in 2003, Alessandro Sulis successively took a II level Master in Information Technology, at the Center of Excellence CEFRIEL in Milan. He has a decade of experience in interoperability between clinical systems according to the main standards and best practices and actively collaborates with international reference organizations (IHE and HL7 International). In particular, since 2013 he has been Monitor at the IHE European Connectathon and since 2021 he has been Co-Chair of the Technical Committee of the IHE PaLM (Pathology and Laboratory Medicine) domain, where he is also the main editor of the SET Profile (Specimen Event Tracking), for sample traceability. His current research interests include the study and promotion of FAIR principles, in the context of projects related to FAIRification of data and metadata in the clinical domain.","post_title":"Alessandro Sulis","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"alessandro-sulis","to_ping":"","pinged":"","post_modified":"2026-04-05 20:14:13","post_modified_gmt":"2026-04-05 18:14:13","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/alessandro-sulis\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10285,"post_author":"4","post_date":"2025-06-30 17:24:17","post_date_gmt":"2025-06-30 15:24:17","post_content":"Cecilia Mascia got her master's degree in Biomedical Engineering in 2013 at the Polytechnic of Turin, with a thesis focused on the evaluation of a telemedicine system developed during an internship at the Digital Health group of the CRS4. In 2015 she collaborated with the Department of Mechanical, Chemical and Materials Engineering of the University of Cagliari in a research project on the analysis, modelling and re-engineering of processes related to the drug supply chain in a private hospital. She joined the DH group in 2014, mainly involved in clinical data modelling activities according to international specifications (openEHR, in particular, and HL7 CDA) for EHR interoperability purposes. She is currently working with the BBMRI-ERIC consortium to draft a proposal of a provenance information model for the biotechnology domain (ISO TC 276) and with the OpenEHR consortium for the definition of genomic data models.","post_title":"Cecilia Mascia","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"cecilia-mascia","to_ping":"","pinged":"","post_modified":"2026-04-05 20:12:23","post_modified_gmt":"2026-04-05 18:12:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/cecilia-mascia\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"\n |