Bioinformatics resources, such as those developed at SIB, enable scientists worldwide to study life and to foster discoveries. Find out about the stringent selection process guiding their inclusion in the institute’s portfolio of leading open biodata resources, and the professional support they benefit from throughout their life cycle. Our unique model helps them to reach and maintain the highest level of usefulness, accuracy and reliability for their over 10 million yearly users. Most of SIB Resources have reached international recognition.
Highlights of the last meeting with the Scientific Advisory Board
The Scientific Advisory Board, comprising renowned figures in bioinformatics from across the world, convened in 2023 for a mid-term review of the SIB Resources. Valuable recommendations and guidelines to enhance the development of the tools and databases were provided. Additionally, there were presentations from the recently incorporated SIB Resources: ASAP, Cellosaurus, Glyco@Expasy and Nextstrain.
Ensuring SIB Resources remain at the cutting-edge
To ensure that resources remain at the cutting edge of research, whether on the user experience, scientific content or interoperability fronts, the Biodata Resource team ensures the follow-up and supports the implementation of the recommendations delivered by the Scientific Advisory Board. This includes helping to set up user surveys, advising on improving the FAIRness of resources as well as the monitoring of KPIs and analytics, UX design improvement, initiating funding projects to develop new scientific ideas and fostering collaborations within the portfolio and with the SIB network:
- Read how, on a recommendation of the SAB, a STRING user survey was crafted, and new features developed as a result – making STRING the only resource offering such complete service;
- Five projects were selected after a call to use artificial intelligence to increase the impact of the SIB Resources. These projects bring together SIB groups specialised in AI/ML with SIB Resources;
- Interoperability among SIB Resources is key to lead to new discoveries, by linking different types of high-value datasets (e.g. SPARQL endpoints in Expasy). These interactions, in terms of data and cross-referencing, are evidenced in the chord diagram below.