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Data released on August 23, 2016

Dataset collection from the 2015 Brainhack Proceedings

Brainhack Proceedings , (2016): Dataset collection from the 2015 Brainhack Proceedings GigaScience Database. RIS BibTeX Text

Brainhack - a novel conference model for the open neuroscience research community - exploded in 2015. With three-day events in Honolulu (June), Montréal (July), and across the Americas (eight participating sites in October), a community that first began only a few years ago around the shared spirit of collaboration and an ethos of open science has taken resolute form.
As Brainhack events were founded on the principle that content should emerge through the onsite interaction of participants, the innovative event structure demanded a different publication form. Inverting the model of conference proceedings, where submissions are triaged in preparation for the meeting, we developed the Brainhack Proceedings to rather mark the achievements, outputs, and ideas that emerged as the meeting's result. Post-conference papers were solicited from participants at any of the events held in 2015. All submissions were peer-reviewed in the Brainhack Proceedings Github repository using an innovative open-review process. In keeping with the culture of Brainhack, we took advantage of the open platform provided by Github to encourage a productive dialogue between authors and reviewers.
This first issue of Brainhack Proceedings includes 23 project papers - presenting an overview of the broad range of interests, content, and achievements that converged at Brainhack events this past year.
Here we present an archival copy of the data generated during the event, it should be noted that many of these projects are ongoing and for the most upto date versions readers are directed to the relevant GitHub repository as listed in each GigaDB dataset:

100216 : Distributed collaboration: the case for the enhancement of Brainspell’s interface
100217 : Advancing open science through NiData
100218 : Integrating the Brain Imaging Data Structure (BIDS) standard into C-PAC
100219 : Optimized implementations of voxel-wise degree centrality and local functional connectivity density mapping in AFNI
100220 : LORIS: DICOM anonymizer
100221 : Automatic extraction of academic collaborations in neuroimaging
100222 : NiftyView: a zero-footprint web application for viewing DICOM and NIfTI files
100223 : Human Connectome Project Minimal Preprocessing Pipelines to Nipype
100224 : Generating music with resting-state fMRI data
100225 : Highly comparable time-series analysis in Nitime
100226 : Nipype interfaces in CBRAIN
100227 : DueCredit: automated collection of citations for software, methods, and data
100228 : Open source low-cost device to register dog’s heart rate and tail movement
100229 : Calculating the Laterality Index Using FSL for Stroke Neuroimaging Data
100230 : Wrapping FreeSurfer 6 for use in high-performance computing environments
100231 : Facilitating big data meta-analyses for clinical neuroimaging through ENIGMA wrapper scripts
100232 : A cortical surface-based geodesic distance package for Python
100233 : Sharing data in the cloud
100234 : Detecting task-based fMRI compliance using plan abandonment techniques
100235 : Self-organization and brain function
100236 : The Neuroimaging Data Model (NIDM) API
100237 : NeuroView: a customizable browser-base utility
100238 : DIPY: Brain tissue classification

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Read the peer-reviewed publication(s):

Craddock, R. C., Bellec, P., Margules, D. S., Nichols, B. N., Pfannmöller, J. P., Badhwar, A., … Cipollini, B. (2016). 2015 Brainhack Proceedings. GigaScience, 5(S1), 1–26. doi:10.1186/s13742-016-0147-0

Related datasets:

doi:10.5524/100215 HasPart doi:10.5524/100216
doi:10.5524/100215 HasPart doi:10.5524/100217
doi:10.5524/100215 HasPart doi:10.5524/100218
doi:10.5524/100215 HasPart doi:10.5524/100219
doi:10.5524/100215 HasPart doi:10.5524/100220
doi:10.5524/100215 HasPart doi:10.5524/100221
doi:10.5524/100215 HasPart doi:10.5524/100222
doi:10.5524/100215 HasPart doi:10.5524/100223
doi:10.5524/100215 HasPart doi:10.5524/100224
doi:10.5524/100215 HasPart doi:10.5524/100225
doi:10.5524/100215 HasPart doi:10.5524/100226
doi:10.5524/100215 HasPart doi:10.5524/100227
doi:10.5524/100215 HasPart doi:10.5524/100228
doi:10.5524/100215 HasPart doi:10.5524/100229
doi:10.5524/100215 HasPart doi:10.5524/100230
doi:10.5524/100215 HasPart doi:10.5524/100231
doi:10.5524/100215 HasPart doi:10.5524/100232
doi:10.5524/100215 HasPart doi:10.5524/100233
doi:10.5524/100215 HasPart doi:10.5524/100234
doi:10.5524/100215 HasPart doi:10.5524/100235
doi:10.5524/100215 HasPart doi:10.5524/100236
doi:10.5524/100215 HasPart doi:10.5524/100237
doi:10.5524/100215 HasPart doi:10.5524/100238

Additional information:


community research, neuroscience, imaging, brain, hackathon 

Neuroscience, Imaging


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