On-demand virtual event
Analytical Chemistry
The ways we capture, store, and retrieve analytical data are becoming increasingly complex—proprietary data silos and the lack of bidirectional communication between instruments are becoming major barriers to efficiency, automation, and remote collaboration.
In this presentation, we will review the importance of FAIR data principles (Findable, Accessible, Interoperable, and Reusable) and review how applying data harmonization through open standards such as AnIML (Analytical Information Markup Language) enable transformational improvements to long-term data management and data governance.
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