→ AbstractThe presenter(s) will be available for live Q&A in this session (BCC West).
the
eLife team and the
Stencila team(Presenter: Emmy Tsang, Innovation Community Manager, eLife; email: e.tsang@elifesciences.org)
Project Website:
https://elifesci.org/reprodoc (this will be updated early June)
Source Code:
https://github.com/stencila; https://github.com/elifesciences;
License: Apache License 2.0 (for Stencila); MIT (for eLife)
Main Text of Abstract
Code and data are important research output and integral to a full understanding of research
findings and experimental approaches in a paper. However, traditional research articles seldom
have these embedded in the manuscript's narrative, but instead, leave them as "supplementary
materials", if they are openly available.
With Executable Research Articles (ERAs), our vision is to enrich the traditional narrative of a
research article with code, data and interactive figures that can be executed in the browser,
downloaded and explored. It will give readers a direct insight into the methods, algorithms and key
data behind the published research.
We published our
first demo ERA in February 2019. Over the past year, we have been working
closely with our collaborator Stencila to build an open tool stack that would enable our authors and
production team to easily publish ERAs at scale. In this talk, we hope to showcase the potential of
ERAs with examples and walk through how authors can enrich their traditional eLife paper using
Stencila Hub, through:
- Starting a Stencila Hub project linked to their eLife paper
- Converting the article to a reproducible notebook format of their preference, while preserving the relevant
journal article metadata
- Uploading the data required to enable live re-execution of tables and figures in the article
- Replacing static tables and figures with code chunks that reproduce them
We will share our current vision of how ERAs will be integrated into our production workflow and
collect feedback. We also hope to engage participants in exploring potential functionalities for the
tool stack and building a community-driven roadmap.
