Large datasets are becoming increasingly valuable in the energy sector, driven by advancements in big data and high-throughput techniques. *Nature Energy* has introduced a dedicated article format, the Resource article, to disseminate these valuable datasets. These articles should present large, newly generated datasets, data platforms, or libraries that are of broad utility and significance to the community. They should be structured like research articles, explaining the utility of the resource and demonstrating novel insights derived from it. Key aspects include reusability, with data, algorithms, and codes made available via public repositories, and adherence to FAIR principles for machine-readability. Two examples illustrate different types of Resource articles: one collects and analyzes data on perovskite solar cells, and another uses generative machine learning to create high-resolution meteorological data. Editors will collaborate with authors to determine the most appropriate format for their findings, aiming to advance the understanding and application of energy systems.Large datasets are becoming increasingly valuable in the energy sector, driven by advancements in big data and high-throughput techniques. *Nature Energy* has introduced a dedicated article format, the Resource article, to disseminate these valuable datasets. These articles should present large, newly generated datasets, data platforms, or libraries that are of broad utility and significance to the community. They should be structured like research articles, explaining the utility of the resource and demonstrating novel insights derived from it. Key aspects include reusability, with data, algorithms, and codes made available via public repositories, and adherence to FAIR principles for machine-readability. Two examples illustrate different types of Resource articles: one collects and analyzes data on perovskite solar cells, and another uses generative machine learning to create high-resolution meteorological data. Editors will collaborate with authors to determine the most appropriate format for their findings, aiming to advance the understanding and application of energy systems.