While the FAIR Data Principles initially sprung up from a desire to foster findability, accessibility, interoperability and reuse of scholarly data, industry has begun to recognize that this approach is relevant to their own commercial challenges around data management, business partnerships and pre-competitive collaboration. In this paper we will survey the emerging industrial FAIR landscape, with particular emphasis on the efforts at the Pistoia Alliance, a precompetitive  collaboration  community serving  life sciences R&D.

What do the FAIR Data Principles mean to the life sciences industry?

Macromolecular Chemistry: The Second Century

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ACS Spring 2020 National Meeting & Expo

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