About


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Chris Gorgolewski
Co-director of the Stanford Center for Reproducible Neuroscience
Research Associate at Department of Psychology, Stanford University
Address:
450 Serra Mall, Stanford
CA 94305, USA
Email:
Full name:
Krzysztof Jacek Gorgolewski

Research Interests
I am interested in how we can use modern technology to improve the way we study human behaviour and its neuronal underpinnings. This involves building tools and services (such as Nipype, OpenNeuro.org, and NeuroVault.org) that allow neuroscientists, psychologist and clinicians to be more efficient and less biased in the way they collect, share and analyze data. I’m also involved in efforts to maximise the impact of behavioural and brain research through data sharing and data standards (Brain Imaging Data Structure). This work goes beyond tools and services, also including policy making and publishing culture research.

 Google Scholar
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Popular posts from this blog

Highlights from the NeuroImage Data Sharing Issue

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This week the first part of NeuroImage special issue on Data Sharing was published. It's a great achievement and I am glad to see that more focus is being put on sharing data in our field. However the issue is a mixed bag of papers that describe different types of resources. Some of my friends were confused by this heterogeneity, so I decided to highlight some of the resources presented in the issue.

The issue included papers about many data sharing platforms/databases (XNAT Central, LORIS, NIDB, LONI IDA, COINS, UMCD and NeuroVault) that are well known and covered by previous publications. Similarly some datasets (FBIRN and CBFBIRN) also have been previously covered in the literature. I understand that those have been included in the issue for completeness, but I will leave them out in this review.


Developmental and aging datasetsThe issue includes an impressive developmental dataset consisting of 9498 subjects with medical, psychiatric, neurocognitive, and genomic data (ages 8-2…
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This is my brain: sharing the risk

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At a recent meeting at Leiden we talked about many issues related to data sharing. Previously I've been covering how to incentivise scientists to share data through data papers on this blog, but during that meeting we also discussed ethical issues. When we are collecting data about our participants (whether those are behavioural measures or MRI scans) we take responsibility for it. We make a pledge that we will make whatever we can to protect the identity of our subjects.

This is easier if we do not share data. Because fewer people have access to the data the likelihood of someone finding a method to connects brain scans to a particular person are lower. In reality this could be done either through a security breach (someone hacking the university network and obtaining the list of participants and their anonymous IDs) or by combining multiple datasets about one person to obtain enough details to be able to identify a person (this however applies only to participants taking part in…
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The unsung heroes of neuroinformatics

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There are many fascinating and exciting developments in human cognitive and clinical neurosciences. We are constantly drawn to novel and groundbreaking discoveries. There is nothing wrong with this - I would even say that's part of the human nature. This kind of research is not, however, what I want to talk about today. This post is dedicated to people building tools that play a crucial role as a backbone of research - helping novel discoveries happen. They go beyond providing a proof of concept, publishing a paper and pointing to undocumented piece of code that works only in their labs. They provide maintenance, respond to user needs, and constantly update their tools fixing bugs and adding features. Here I will highlight two tools which in my personal (and very biased) opinion play an important role in supporting human neuroscience, and could do with some more appreciation.

nibabel Anyone dealing with MRI data in Python must know about this library. Nibabel allows you to read and…
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