RO-Crate is a community effort to establish a lightweight approach to packaging research data with their metadata. It is based on schema.org annotations in JSON-LD, and aims to make best-practice in formal metadata description accessible and practical for use in a wider variety of situations, from an individual researcher working with a folder of data, to large data-intensive computational research environments.
RO-Crate is the marriage of Research Objects with DataCrate. It aims to build on their respective strengths, but also to draw on lessons learned from those projects and similar research data packaging efforts. For more details, see background.
The RO-Crate effort brings together practitioners from very different backgrounds, and with different motivations and use-cases. Among our core target users are: a) research engaged with computation and data-intensive, wokflow-driven analysis; b) digital repository managers and infrastructure providers; c) individual researchers looking for a straight-forward tool or how-to guide to “FAIRify” their data; d) data stewards supporting research projects in creating and curating datasets.
The RO-Crate specification is currently work in progress :
Historical note: After the initial draft, the community decided to base the specification on DataCrate, and changed the name from ROLite to RO-Crate.
While we’re mostly focusing on the specification, some tools already exist for working with RO-Crates:
The RO-Crate team is:
To suggest changes, improvements or issues, use the GitHub repository https://github.com/ResearchObject/ro-crate - if you are new to GitHub or Open Source you may appreciate the GitHub guides like Hello World, MarkDown and How to contribute to open source
The RO-Crate team try to meet in a monthly telcon, see the rolling agenda for schedule, call-in details and minutes.
See also recent and upcoming events.
Eoghan Ó Carragáin; Carole Goble; Peter Sefton; Stian Soiland-Reyes (2019): A lightweight approach to research object data packaging Bioinformatics Open Source Conference (BOSC2019) https://doi.org/10.5281/zenodo.3250687