The Reproducible Document Stack reinvents the journal publication for a world of computationally reproducible research
Creators
- 1. Substance, Linz, Austria, GmbH
- 2. eLife, Cambridge, UK
Description
In September 2017, eLife, Substance and Stencila started a project to develop the technology required to treat code and data aspects of research as first-class citizens in the academic publishing process, and create the tools needed to support these new reproducible document formats through authoring, sharing and publication. In this talk, we’ll present the latest progress and outputs from the Reproducible Document Stack project and explore the next steps. In particular, we are seeking collaborations to make Dar interoperable with the Research Object ecosystem. We also welcome the community’s suggestions as to the impact they wish to see from this project, and ways in which we could measure this impact together.
This abstract was submitted for consideration for the Research Object 2018 workshop within the IEEE eScience 2018 conference.
Notes
Files
RO2018-RDSabstract.pdf
Files
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Additional details
Related works
- Cites
- https://github.com/substance/dar (URL)
- https://github.com/substance/texture (URL)
- https://github.com/stencila (URL)