Achieving a F.A.I.R. Data Management Strategy
Pharmaceutical companies generate a wealth of data and, with most investing in technologies to enable high throughput experimentation and automation, the speed at which new data is generated is rapidly increasing. However, most organizations are unable to gain actionable insights from this valuable resource and realize its true potential. In fact, it is estimated that over 50% of the cumulative knowledge generated by pre-clinical research is not reproducible. Considering the US alone, this translates into tens of billions of dollars of R&D investment that cannot be exploited effectively.
In this whitepaper, we explore what the F.A.I.R. principles mean in practical terms for your R&D data management strategy before describing how IDBS enables organizations to make their scientific data Findable, Accessible, Interoperable, and Reusable and mitigate the costs of not being F.A.I.R.
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