Solution – data papers
• Authors get recognizable credit for their work. – Even smaller contributors such as RAs can be
included.
• Acquisition methods are described in detail.
• Quality of metadata is being controlled by peer review.
• Neuroinformatics (Springer) • GigaScience (BGI, BioMed Central) • Scientific Data (Nature Publising Group) • F1000Research (Faculty of 1000) • Data in Brief (Elsevier) • Journal of Open Psychology Data (Ubiquity
press)
Where to publish data papers?
What makes a good data paper?
• Clear and accurate description of the acquisition protocol.
• Good data organization • Ease of access to data • Data quality description • Fair credit attribution
How to improve the impact of your dataset?
• Provide preprocessed data • Reach out to your peers – …and people outside of your field (ML)
• Build a community around the data
Repositories
• Field specific – OpenfMRI.org (task based fMRI) – FCP/INDI (resting state fMRI) – Neurobiological Image Management System (local;
MRI data) • Field agnostic – Stanford Digital Repository (local) – DataVerse (Harvard) – Figshare (only small datasets) – DataDryad (fees may apply)
Prepare in advance
• Make sure your consent form includes data sharing
• Decide which database you want to send your data to in advance – Organize your data according to their
requirements
• Work on anonymized data as much as you can
Data sharing small and big
Scientific Data has published as many papers about datasets that are less than 200MB as
those that are bigger than 200MB