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Recent years have brought an explosion of data in life sciences. This data can be used to drive decision-making, inspire research and development, and inform strategic plans, but organizations cannot leverage the full potential of their data without sound data governance.
Powerful techniques like machine learning, for instance, allow researchers to approach and analyze large data sets but the data access is predicated on the assumption of data reusability. Unfortunately, such reusability requires changes in the management and stewardship of research data - a broad transformation to align with what are known as the FAIR principles.
In this whitepaper, become familiar with the FAIR principles and uncover how aligning your organization's data with these principles can boost research efficiency and ultimately drive business growth.
By applying FAIR principles you drive digital transformation, enforce innovation, and safeguard data producer liability.
With FAIR data in place, answer specific research queries more quickly so researchers can focus on the interpretation of data rather than collecting or recreating it.
You don’t get FAIR data overnight - you need to install an evolving process to carry out pragmatically and driven by value - learn how.
To track how FAIR your data is and its return on investment, learn how to setup straightforward metrics.