ELIXIR Federated Human Data Community Day
This week, we had the pleasure of hosting the Federated Human Data Community Day, a vibrant event filled with: Inspiring presentations, Insightful breakout sessions, and Networking opportunities. It was fantastic to see such an enthusiastic and collaborative community come together to exchange ideas
BioData.pt Members Participate in Staff Exchange at INRAE Versailles
From November 12th to 15th, BioData.pt members Pedro Barros, Hugo Rodrigues, and Bruno Soares visited INRAE in Versailles as part of the staff exchange “ User-Friendly AI for Plant Knowledge Graphs”. This initiative brought together experts in plant data, knowledge graphs, and advanced AI
BioData.pt participates in LS4FUTURE Informative Session to highlight ELIXIR Portugal's contributions
On November 11, BioData.pt | ELIXIR-PT took part in the LS4FUTURE Online Informative Session, presenting the pivotal role of ELIXIR Portugal in fostering data-intensive life sciences research across Portugal. The presentation, titled “ ELIXIR Portugal: Connecting National Researchers to the European
BioData.pt | ELIXIR Portugal at the 14th ITQB NOVA PhD Student Meeting
BioData.pt participated in the 14th ITQB NOVA PhD Student Meeting, held from October 16th to 18th. This event offered PhD students a platform to showcase their research, foster discussions, and connect with fellow researchers. BioData.pt’s Gil Poiares-Oliveira led a workshop titled " Computational
OSCARS funding for FAIRY project
The OSCARS initiative has awarded funding to the FAIRification of YEASTRACT+ to Support Yeast-based Bioeconomy and Health project (FAIRY). This project, coordinated by INESC-ID Lisboa in partnership with Instituto Superior Técnico - Universidade de Lisboa, aims to significantly advance scientific
3rd BioData.pt | ELIXIR-PT All Hands 2024
This year, the BioData.pt | ELIXIR Portugal All Hands Meeting took place in Lisbon from October 2–4, featuring sessions focused on governance, associates, communities, platforms, stakeholders, and industry engagement. This annual event unites life and health scientists with research data management
Ready4Intensive in FMUL Health Research Data Management
On 30th September and 1st October, BioData.pt participated in the Health Research Data Management Workshop, organised by iSTARS and IFA (FMUL). During the event, BioData.pt promoted its Ready for BioData Management: Intensive Research Data Management (RDM) Course, marking it as the first BioData.pt
ELIXIR SPARKLE - Impact & Sustainability Workshop
On September 30th, members from various ELIXIR nodes, including BioData.pt, joined the Impact and Green online workshop. Promoted by the ELIXIR Staff Exchange SPARKLE, this workshop was organised by BioData.pt | ELIXIR Portugal in collaboration with ELIXIR Hub, and the Italian and Norwegian ELIXIR
2024 3D-BioInfo-PT Beginner Workshop
On September 27th, 3D-Bioinfo hosted an introductory workshop on Computational Structural Biology at FCUL, featuring speakers Rita Paiva de Melo (C2TN - Centro de Ciências e Tecnologias Nucleares), Bruno Victor (CoLAB AccelBio), Paulo J. Costa (Faculdade de Ciências da Universidade de Lisboa), and
BioData.pt | ELIXIR Portugal as a good example at EOSC-ENTRUST Workshop
On September 24-25, the EOSC-ENTRUST Evaluation & Adoption Workshop brought together 40 participants from across Europe in Helsinki to explore governance and capability frameworks for a unified blueprint aimed at enabling secure, federated access and analysis of sensitive data. We were honoured to
BioData.pt | ELIXIR Portugal at the GDI Technical Workshop
Between the 2nd and 4th of September, a Technical Workshop for Pillar II of the Genomic Data Infrastructure (GDI) project took place in Brno, Czechia, and we couldn’t miss the opportunity to be there.
BioData.pt Supports Course in S2M2 Summer School in Metabolic Modeling
From July 3 to July 9, we held the S2M2 - Summer School in Metabolic Modeling online, and it was a great success. Participants delved into state-of-the-art metabolic modelling, covering the entire process from model reconstruction to phenotype predictions and analysis. Thank you to all the
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