RO-Crate: package your research outputs with their metadata

Eli Chadwick*, Stian Soiland-Reyes

*Corresponding author for this work

Research output: Contribution to conferencePosterpeer-review

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Abstract

RO-Crate is a mechanism for packaging of research outputs along with structured metadata, providing machine-readability and reproducibility following the FAIR principles. RO-Crate is developed through an open community-driven process and reuse existing standards, with a focus on developers and “just enough” Linked Data.

Researchers can distribute their work as an RO-Crate to ensure their data travels with its metadata, so that key components are correctly tracked, archived, and attributed. Data stewards and infrastructure providers can integrate RO-Crate into the projects and platforms they support, to make it easier for researchers to create and consume RO-Crates without knowing the technical background.

The base RO-Crate format is designed to support any domain and any data. Community-developed extensions called “profiles” also allow the creation of more specialised RO-Crates, describing for example workflows, data provenance, or domain-specific data formats.

This poster will outline the RO-Crate project, its basic workings, and some of its most prominent use cases. The aim is to make RSEs at all levels aware of the RO-Crate project, and to start conversations about how it can be integrated into data platforms developed by members of this community.

Original languageEnglish
Publication statusPublished - 3 Sept 2024
EventResearch Software Engineering Conference - Frederick Douglass Centre, Newcastle, United Kingdom
Duration: 3 Sept 20245 Sept 2024
Conference number: 8
https://rsecon24.society-rse.org/

Conference

ConferenceResearch Software Engineering Conference
Abbreviated titleRSECon 2024
Country/TerritoryUnited Kingdom
CityNewcastle
Period3/09/245/09/24
Internet address

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  • Packaging research artefacts with RO-Crate

    Soiland-Reyes, S., Sefton, P., Crosas, M., Castro, L. J., Coppens, F., Fernández, J. M., Garijo, D., Grüning, B., La Rosa, M., Leo, S., Ó Carragáin, E., Portier, M., Trisovic, A., RO-Crate Community, Groth, P. & Goble, C., 20 Jul 2022, In: Data Science. 5, 2, p. 97-138 42 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access

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