Research data articles within Nature Chemistry

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  • Perspective |

    Lack of standardization, transparency and interaction creates information gaps in scientific publications. Through strategies such as voluntary information management, standardization of reaction set-ups, and smart screening approaches, this Perspective gives guidelines on how to improve data management in publications reporting chemical reactions, focusing on reproducibility, standardization and evaluation of synthetic transformations.

    • Malte L. Schrader
    • , Felix R. Schäfer
    •  & Frank Glorius

  • Perspective |

    A substantial proportion of the data generated in chemistry research is captured non-digitally and reported in ways that non-accessible to both humans and computers. A variety of tools do exist to capture, analyse and publish data in an open, reusable, machine-actionable manner — they should be connected to create an open-science platform for chemistry.

    • Kevin Maik Jablonka
    • , Luc Patiny
    •  & Berend Smit

  • Comment |

    Statistical tools based on machine learning are becoming integrated into chemistry research workflows. We discuss the elements necessary to train reliable, repeatable and reproducible models, and recommend a set of guidelines for machine learning reports.

    • Nongnuch Artrith
    • , Keith T. Butler
    •  & Aron Walsh

  • Article |

    Copolymers of ethylene and polar monomers are produced industrially using free radical polymerization that leads to broad molecular weight distributions of products with ill-defined structures. Now, an organo–cobalt complex is shown to control the radical copolymerization of ethylene with polar monomers under mild experimental conditions, and allows access to block-like copolymers with targeted compositions and monomer distributions.

    • Anthony Kermagoret
    • , Antoine Debuigne
    •  & Christophe Detrembleur

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