INCF SIG on Neuroimaging Data Model (NIDM)
This SIG will focus on the development of NIDM-Experiment, NIDM-Results, and NIDM-Workflows which form the three interconnected components of the Neuroimaging Data Model (NIDM)
|David Keator (Chair)||University of California, Irvine, USA|
|Camille Maumet (Deputy Chair)||University of Warwick, UK|
|Jean Baptiste Poline||University of California, Berkeley, USA|
|Krzysztof Gorgolewski||Stanford University, USA|
|Karl Helmer||Massachusetts General Hospital, USA|
|Tibor Auer||Royal Holloway University of London, UK|
|Tom Nichols||University of Warwick, UK|
|Jessica A. Turner||Psychology Department & Neuroscience Institute, Georgia State University, Atlanta, USA|
|Satrajit S. Ghosh||McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, USA|
|Samir Das||Montreal Neurological Institute, Canada|
|Tristan Glatard||Montreal Neurological Institute, Canada|
|Guillaume Flandin||University College London, UK|
|Smruti Padhy||Massachusetts Institute of Technology, Cambridge, USA|
|Dorota Jarecka||Massachusetts Institute of Technology, Cambridge, USA|
About this SIG
Acceleration of scientific discovery relies on our ability to effectively use data often acquired across multiple domains. Typically, subsets of data collections are shared using lab-specific organizational schemes with little or no information provided to give the data context within the broader experimental protocol nor the ability to efficiently use the data or the results of an analysis for reproducibility outside of the originating site. The Neuroimaging Data Model (NIDM; http://nidm.nidash.org/) was developed to provide a linked data format for describing all aspects of the data lifecycle, from raw data through analyses and provenance. This SIG will focus on the development of NIDM-Experiment, NIDM-Results, and NIDM-Workflows which form the three interconnected components of NIDM.
Goal and outcomes
The NIDM SIG will produce a set of specifications and associated tools and developer’s libraries to support broad adoption of NIDM in the community. Each of the three interconnected components of NIDM will produce custom libraries aiding in the conversion and annotation of data appropriate for the specific NIDM component. The SIG will serve as a venue for discussion and coordinated development of the specifications and tools. We will have meetings bi-annually alongside relevant conferences attended by many of the members. We will have regular Google hangout meetings to remain in sync throughout the year setting specific milestones ahead of our bi-annual meetings.
SIG meeting in Kuala Lumpur, August 22, in conjunction with Neuroinformatics 2017.