Abstract
With the emergence of brain research initiatives around the world, the need for standards to facilitate neuroscience data sharing is growing. A crucial first step will be to establish a minimal metadata standard that allows the discovery of and access to similar or related data sets. This will be a key element of an open neuroscience-data ecosystem in which data is valued, preserved and reused.
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References
White, R. L. et al. The high impact of astronomical data archives http://www8.nationalacademies.org/astro2010/DetailFileDisplay.aspx?id=423 (National Academy of Sciences, 2010).
[No authors listed.] The future of the electronic scientific literature. Nature 413, 1–3 (2001).
Gorgolewski, K. J. et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Sci. Data 3, 160044 (2016).
Teeters, J. L. et al. Neurodata Without Borders: creating a common data format for neurophysiology. Neuron 88, 629–634 (2015).
Peng, H. et al. BigNeuron: large-scale 3D neuron reconstruction from optical microscopy images. Neuron 87, 252–256 (2015).
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Hill, S. How do we know what we know? Discovering neuroscience data sets through minimal metadata. Nat Rev Neurosci 17, 735–736 (2016). https://doi.org/10.1038/nrn.2016.134
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DOI: https://doi.org/10.1038/nrn.2016.134
