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      Smart Biolabs of the Future 

      Human–Device Interaction in the Life Science Laboratory

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          The FAIR Guiding Principles for scientific data management and stewardship

          There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
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            PLS-regression: a basic tool of chemometrics

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              1,500 scientists lift the lid on reproducibility.

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                Author and book information

                Book Chapter
                2022
                January 29 2022
                : 83-113
                10.1007/10_2021_183
                d947b9a6-64f8-40ef-8170-688b2acc5b39
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