Presentation held at THOR Workshop: Identifiers - Infrastructure, Impact and Innovation

1. DATA PUBLISHING – F1000RESEARCH
(THOR WORKSHOP, AMSTERDAM, JULY 7, 2016)
Michaela Torkar
Editorial Director, F1000Research
f1000research.com
@f1000research

2. • Open access
• Open peer review
• Open methodology
• Open data
An open science publishing platform for life scientists:
Key aims:
• Unrestricted and immediate access
to new findings, incl. reanalyses,
confirmatory and negative results
(reduced waste/less publication bias)
• Transparency increases research integrity
• Better reproducibility through data sharing

3. • Peer review after publication (no ‘Editor’, but in-house pre-pub checks, incl. data inclusion)
• Fully transparent peer review
• “living articles”:
Versioning (also in PubMed) for revisions, corrections, updates
Post-publication peer review

4. • Source data underlying results must be included
• Data must be hosted in a stable open repository
(e.g. Figshare, Open Science Framework, Zenodo)
• Data must be clearly described and formatted
• Data are published under CC0 license
Mandatory data policy
Data Guidelines:
http://f1000research.com/for-authors/data-guidelines

5. […]
Data availability section
for at-a-glance summary:
Dataset DOI and direct citation
References

6. Data widget and dataset citation
F1000Research-hosted data

7. Data widget and dataset citation
(Figshare-hosted data)

8. Detailed descriptions of why and
how datasets were generated
(and validated).
No analysis or conclusions.
Data Notes

9. From ‘living articles’ to ‘living figures’

10. From ‘living articles’ to ‘living figures’
Each dataset is
individually citeable

11. Michaela Torkar
Editorial Director, F1000Research
michaela.torkar@f1000.com
http://f1000research.com
@f1000Research