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In recent years, there has been an increasing drive towards scientific data not only being utilized for the specific context for which it has been created, but that data is findable, accessible, interoperable, and reusable beyond, by both humans and machines. This paradigm has been captured and formalized in the FAIR principles. In this paper, we discuss relevance and practical aspects of applying FAIR principles to chemical data in life sciences R&D.
Chemical Data in Life Sciences RnD and the FAIR Principles.pdf