The BBMRI Common Service IT aims to:<\/p>\n
The project strives to achieve its objectives by defining neutral interfaces and data models to facilitate search, access, communication and interoperability across the European biobanking landscape. In addition, it provides open source reference implementations of these interfaces and data models, while also encouraging the BBMRI-ERIC community and private entities to contribute their own implementations that can be connected to the overall network.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-13305","projects","type-projects","status-publish","hentry","gruppo-data-intensive-computing-en"],"acf":{"title":"Setting up and Contributing to a Common Service IT of BBMRI-ERIC","acronym":"BBMRI CS IT","project_uuid":"19f686c9-dd98-11eb-a50b-506b8d36975d","start_date":"15\/07\/2021","end_date":"31\/12\/2024","funder":"European research infrastructure for biobanking and biomolecular resources (BBMRI ERIC)","partners":"","proj_website":"https:\/\/www.bbmri-eric.eu\/bbmri-eric\/common-service-it\/","project_status":"Execution","project_coordinator":[{"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":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":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":10210,"post_author":"4","post_date":"2025-06-30 17:22:45","post_date_gmt":"2025-06-30 15:22:45","post_content":"Giovanni Delussu is a researcher in the \"Digital Health\" area which belongs to the \"Visual and Data-Intensive Computing\" research Program. He holds a Laurea (MSc) degree in Aeronautical Engineering from the \"Politecnico di Torino\" (1993). Afterwards he worked in the Italian Air Force as officer to ground equipment aircraft maintenance. He joined the CRS4 in 1996. He has worked in many different fields: algorithms and codes for mesh generation, sail aerodynamics, boat hydrodynamics, combustion, dynamic structural calculations on artificial heart valves, rocket for Mars exploration (Prof. Rubbia). He worked also in the renewable energy area, specifically on concentrated solar power (CSP) systems. Then he worked on \"Big Data\" problems. Presently he is working on digital healthcare solutions. In 2017 got his PhD in Innovation Sciences and Technologies jointly awarded by University of Cagliari (UNICA), University of Aveiro (UAVR), Portugal, Pushchino State Institute of Life Sciences, (PSILS), Pushchino, Russia and ENIM Ecole Nationale de l'Industrie Minerale, Morocco with a thesis in the field of Biomedical Informatics. Main interests:surfing, tennis","post_title":"Giovanni Delussu","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"giovanni-delussu","to_ping":"","pinged":"","post_modified":"2026-04-05 20:10:57","post_modified_gmt":"2026-04-05 18:10:57","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/giovanni-delussu\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10291,"post_author":"4","post_date":"2025-06-30 17:24:26","post_date_gmt":"2025-06-30 15:24:26","post_content":"Since the degree in Computer Science from the Universit\u00e0 degli Studi di Cagliari in 2008, he deals with research and development in the area of Clinical Informatics and Biomedicine. He has worked since 2010 in the Digital Health group at CRS4, where he is involved in design and development of application focused on integration among clinical domains, telemedicine. In particular, in the context of telemedicine, he participated in the creation of a prototype for ultrasound teleconsultation. Regarding interoperability, he collaborated to the implementation of traceability systems for clinical processes, acquiring a deep knowledge of international standards and guidelines of the field, like HL7 and IHE. He is the main developer of HL7apy, an open-source Python package to handle HL7 v2 messages and he participated as Monitor to the IHE Connectathon in 2017, 2018 and 2020. More recently he has focused his work on data FAIRification concerning the sharing of data about rare diseases and the development of the biomedical research registry of the Region of Sardinia.","post_title":"Vittorio Meloni","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"vittorio-meloni","to_ping":"","pinged":"","post_modified":"2026-04-05 20:12:32","post_modified_gmt":"2026-04-05 18:12:32","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/vittorio-meloni\/","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