The future of lab data is FAIR
Unlocking the potential of data standardization in biotech
Data. It’s at the heart of every R&D insight, IND filing,
publication, and mega-million drug deal. And yet, the
value of that data is severely limited by how we’re
Despite industry-wide standards for drug development,
there is a woeful lack of standards for the increasingly
complex data that powers it.
There is a better way: the wide scale adoption of FAIR
(Findable, Accessible, Interoperable, and Reusable)
data standards. From enabling data discovery to
fostering seamless data sharing and integration, FAIR
principles empower scientists to tap into the full value
of their data.
In doing so, they lay the foundation for accelerated
scientific progress and commercialization of novel
Join Ganymede’s co-founder and CEO Nathan Clark,
and industry scientists from Janssen and Tolmar as
they discuss why data standards are so poor in the
life sciences, and offer a practical guide to implementing
them in your lab.