This talk focused on the concept of FAIR, which stands for Findable, Accessible, Interoperable, and Reusable data. Nathan Watson highlighted that only 28% of researchers were familiar with FAIR, despite its importance in structuring data meaningfully.
As a former researcher, Watson shared personal frustrations with data management and the subsequent decision to start a software company to address these issues. They emphasised that while the digital transition was significant, it did not equate to FAIR data management. The addition of various systems like ELNs and LIMS did not solve the problem of data context and compliance, particularly in the US for FDA-related work.
Watson discussed the challenges of integrating data across systems, noting that scientists often had to re-enter data multiple times. He compared the situation to hiring talented musicians without a conductor, resulting in noise rather than a symphony. Organisations have typically adopted one of two strategies: aggressive consolidation of tools or allowing freedom for all, both of which has drawbacks.
The presentation then discussed the principles of FAIR, based on a 2016 paper, and the reasons for its adoption. Reproducibility was identified as a major issue in research, with redundant studies and difficulties in drug discovery and collaborations. Watson argued that investing in FAIR, even partially, could improve collaboration, regulatory readiness, and the effective use of AI.
The talk also addressed the reasons why verification efforts often failed, categorising them into technical myopia, misaligned design, and organisational neglect. Watson stressed the importance of cultural and architectural considerations over purely technical solutions.
In conclusion, Watson advocated for shared metadata layers, modular systems with open APIs, and domain-specific interfaces to engage scientists. He recommended continuous implementation loops to ensure ongoing training and cultural integration. The presentation ended with a call to design data management systems that align with organisational culture and operational needs.
