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An increasing number of researchers support reproducibility by including pointers to and descriptions of datasets, software and methods in their publications. However, scientific articles may be ambiguous, incomplete and difficult to process by automated systems. In this paper we introduce RO-Crate, an open, community-driven, and lightweight approach to packaging research artefacts along with their metadata in a machine readable manner. RO-Crate is based on Schema.org annotations in JSON-LD, aiming to establish best practices to formally describe metadata in an accessible and practical way for their use in a wide variety of situations. An RO-Crate is a structured archive of all the items that contributed to a research outcome, including their identifiers, provenance, relations and annotations. As a general purpose packaging approach for data and their metadata, RO-Crate is used across multiple areas, including bioinformatics, digital humanities and regulatory sciences. By applying “just enough” Linked Data standards, RO-Crate simplifies the process of making research outputs FAIR while also enhancing research reproducibility. An RO-Crate for this article 1 1 https://w3id.org/ro/doi/10.5281/zenodo.5146227 is archived at https://doi.org/10.5281/zenodo.5146227 .
FOS: Computer and information sciences, Metadata, Technology and Engineering, General Engineering, Biology and Life Sciences, Data packaging, Computer Science - Digital Libraries, General Medicine, H.1.1; H.3.2, Reproducibility, 004, H.3.2, Data publishing, Linked DAta, Digital Libraries (cs.DL), Research Object, FAIR, H.1.1
FOS: Computer and information sciences, Metadata, Technology and Engineering, General Engineering, Biology and Life Sciences, Data packaging, Computer Science - Digital Libraries, General Medicine, H.1.1; H.3.2, Reproducibility, 004, H.3.2, Data publishing, Linked DAta, Digital Libraries (cs.DL), Research Object, FAIR, H.1.1
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 106 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
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