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@article{Karakuzu2022-bids,
  title={qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data},
  author={Karakuzu, Agah and Appelhoff, Stefan and Auer, Tibor and Boudreau, Mathieu and Feingold, Franklin and Khan, Ali R and Lazari, Alberto and Markiewicz, Chris and Mulder, Martijn and Phillips, Christophe and others},
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@misc{McCarthy2019-qd,
  author       = {McCarthy, Paul},
  title        = {FSLeyes},
  month        = may,
  year         = 2022,
  publisher    = {Zenodo},
  version      = {1.4.0},
  doi          = {10.5281/zenodo.6511596},
  url          = {https://doi.org/10.5281/zenodo.6511596}
}
@misc{Karakuzu2022-nlwf,
 title={NeuroLibre : A preprint server for full-fledged reproducible neuroscience},
 url={osf.io/h89js},
 DOI={10.31219/osf.io/h89js},
 publisher={OSF Preprints},
 author={Karakuzu, Agah and DuPre, Elizabeth and Tetrel, Loic and Bermudez, Patrick and Boudreau, Mathieu and Chin, Mary and Poline, Jean-Baptiste and Das, Samir and Bellec, Pierre and Stikov, Nikola},
 year={2022},
 month={Apr}
}

@article{Dupre2022-iro,
  title={Beyond advertising: New infrastructures for publishing integrated research objects},
  author={DuPre, Elizabeth and Holdgraf, Chris and Karakuzu, Agah and Tetrel, Lo{\"\i}c and Bellec, Pierre and Stikov, Nikola and Poline, Jean-Baptiste},
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  number={1},
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  year={2022},
  publisher={Public Library of Science San Francisco, CA USA}
}

@article{Harding2023-conp,
	title = {The {Canadian} {Open} {Neuroscience} {Platform}—{An} open science framework for the neuroscience community},
	volume = {19},
	url = {10.1371/journal.pcbi.1011230},
	doi = {10.1371/journal.pcbi.1011230},
	abstract = {The Canadian Open Neuroscience Platform (CONP) takes a multifaceted approach to enabling open neuroscience, aiming to make research, data, and tools accessible to everyone, with the ultimate objective of accelerating discovery. Its core infrastructure is the CONP Portal, a repository with a decentralized design, where datasets and analysis tools across disparate platforms can be browsed, searched, accessed, and shared in accordance with FAIR principles. Another key piece of CONP infrastructure is NeuroLibre, a preprint server capable of creating and hosting executable and fully reproducible scientific publications that embed text, figures, and code. As part of its holistic approach, the CONP has also constructed frameworks and guidance for ethics and data governance, provided support and developed resources to help train the next generation of neuroscientists, and has fostered and grown an engaged community through outreach and communications. In this manuscript, we provide a high-level overview of this multipronged platform and its vision of lowering the barriers to the practice of open neuroscience and yielding the associated benefits for both individual researchers and the wider community.},
	number = {7},
	journal = {PLOS Computational Biology},
	author = {Harding, Rachel J. and Bermudez, Patrick and Bernier, Alexander and Beauvais, Michael and Bellec, Pierre and Hill, Sean and Karakuzu, Agah and Knoppers, Bartha M. and Pavlidis, Paul and Poline, Jean-Baptiste and Roskams, Jane and Stikov, Nikola and Stone, Jessica and Strother, Stephen and Consortium, CONP and Evans, Alan C.},
	month = jul,
	year = {2023},
	note = {Publisher: Public Library of Science},
	pages = {1--14},
}