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Maryann E. Martone

Affiliations: 
University of California, San Diego, La Jolla, CA 
Area:
neuroinformatics, neuroanatomy
Website:
http://ncmir.ucsd.edu/
Google:
"Maryann Martone"
Bio:

Dr. Maryann Martone is Professor-in-Residence in the Department of Neurosciences and Co-Director of the National Center for Microscopy and Imaging Research (NCMIR) at the University of California San Diego. Following a B.A. in Psychobiology from Wellesley College in 1982, a doctorate in neurosciences from UCSD in 1990, and a post-doc at NCMIR she joined the department of neurosciences at UCSD in 1993. Dr. Martone`s work includes the central nervous system (CNS) morphology, protein localization, imaging of neurons and their processes, neuronal alterations that occur as a consequence of ischemia, and the emerging field of neuroinformatics. She has emerged as an international leader in the rapidly evolving field of new technologies for high-resolution imaging. Dr. Martone`s scientific efforts have resulted in an extensive publication record and her teaching activities include both formal and individual coursework. She heads the NIF (neuroscience information framework) project.

Mean distance: 14.15 (cluster 17)
 		SNBCP
Cross-listing: Anatomy Tree

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Parents

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Nelson Butters grad student
Philip M. Groves grad student UCSD
Mark H. Ellisman post-doc UCSD

Children

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Stephen D. Larson grad student 2012 UCSD

Collaborators

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Giorgio A. Ascoli collaborator UCSD
Gordon M. Shepherd collaborator UCSD
David C. Van Essen collaborator UCSD
Jeffrey Sean Grethe collaborator 2002- UCSD
Anita E. Bandrowski collaborator 2008- UCSD
BETA: Related publications

Publications

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Fouad K, Bixby JL, Callahan A, et al. (2019) FAIR SCI Ahead: the evolution of the Open Data Commons for preclinical spinal cord injury research (ODC-SCI.org). Journal of Neurotrauma
Wilkinson MD, Dumontier M, Jan Aalbersberg I, et al. (2019) Addendum: The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data. 6: 6
Kennedy DN, Abraham SA, Bates JF, et al. (2019) Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging. Frontiers in Neuroinformatics. 13: 1
Babic Z, Capes-Davis A, Martone ME, et al. (2019) Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines. Elife. 8
Prager EM, Chambers KE, Plotkin JL, et al. (2018) Improving transparency and scientific rigor in academic publishing. Brain and Behavior. e01141
Prager EM, Chambers KE, Plotkin JL, et al. (2018) Improving transparency and scientific rigor in academic publishing. Journal of Neuroscience Research
Wimalaratne SM, Juty N, Kunze J, et al. (2018) Uniform resolution of compact identifiers for biomedical data. Scientific Data. 5: 180029
Bandrowski AE, Martone ME. (2016) RRIDs: A Simple Step toward Improving Reproducibility through Rigor and Transparency of Experimental Methods. Neuron. 90: 434-6
Bandrowski A, Brush M, Grethe JS, et al. (2016) The Resource Identification Initiative: a cultural shift in publishing. Brain and Behavior. 6: e00417
Wilkinson MD, Dumontier M, Aalbersberg IJ, et al. (2016) The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data. 3: 160018
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