Making data sharing count

Chris Gorgolewski Department of Psychology Stanford University

Data sharing?

MAKING DATASHARING COUNT Credit where credit’s due

Motivation

•  Share  your  stat  maps!  

vs.

institutions scientists

Quality control

•  Share  your  stat  maps!  

Complex datasets require elaborate descriptions

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.

Gorgolewski, Milham, and Margulies, 2013

•  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

StudyForrest.org

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

Neuroimaging data sharing hierarchy

Poldrack and Gorgolewski, 2014

NeuroVault.org

Gorgolewski, et al., submitted

If I haven’t convinced you yet

•  Why to share data: –  It’s the ethical thing to do. – The journal might require it (PLoS). – Your funders might require it (NIH). – Track record of data sharing can improve your

chances of getting your next grant.