thor workshop - data publishing
TRANSCRIPT
DATA PUBLISHING – F1000RESEARCH(THOR WORKSHOP, AMSTERDAM, JULY 7, 2016)
Michaela TorkarEditorial Director, F1000Research
f1000research.com@f1000research
• 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
• 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
• 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
[…]
Data availability section for at-a-glance summary: Dataset DOI and direct citation
References
Data widget and dataset citationF1000Research-hosted data
Data widget and dataset citation(Figshare-hosted data)
Detailed descriptions of why andhow datasets were generated (and validated).
No analysis or conclusions.
Data Notes
From ‘living articles’ to ‘living figures’
From ‘living articles’ to ‘living figures’
Each dataset is individually citeable
Michaela TorkarEditorial Director, F1000Research
[email protected]://f1000research.com
@f1000Research