AbstractNeuroimaging data collection is inherently expensive. Maximizing the return on investment in neuroimaging studies requires that neuroimaging data be re-used whenever possible. In an effort to further scientific knowledge, the COINS Data Exchange (DX) (http://coins.mrn.org/dx) aims to make data sharing seamless and commonplace. DX takes a three-pronged approach towards improving the overall state of data sharing within the neuroscience community. The first prong is compiling data into one location that has been collected from all over the world in many different formats. The second prong is curating the data so that it can be stored in one consistent format and so that data QA/QC measures can be assured. The third prong is disseminat...
Efficient data sharing is hampered by an array of organizational, ethical, behavioral, and technical...
Here we present NeuroVault—a web based repository that allows researchers to store, share, visualize...
AbstractRecent developments in data management and imaging technologies have significantly affected ...
AbstractNeuroimaging data collection is inherently expensive. Maximizing the return on investment in...
Accurate data collection at the ground level is vital to the integrity of neuroimaging research. Sim...
Accurate data collection at the ground level is vital to the integrity of neuroimaging research. Sim...
Significant resources around the world have been invested in neuroimaging studies of brain function ...
Significant resources around the world have been invested in neuroimaging studies of brain function ...
There is growing recognition of the importance of data sharing in the neurosciences, and in particul...
AbstractNeuroimaging has been facing a data deluge characterized by the exponential growth of both r...
The neuroimaging community has been increasingly called up to openly share data. Although data shari...
The sharing of research data is essential to ensure reproducibility and maximize the impact of publi...
Neuroscience research is resulting in an enormous accu-mulation of complex data. The explosive growt...
Efficient data sharing is hampered by an array of organizational, ethical, behavioral, and technical...
Neuroscientists increasingly need to work with big data in order to derive meaningful results in the...
Efficient data sharing is hampered by an array of organizational, ethical, behavioral, and technical...
Here we present NeuroVault—a web based repository that allows researchers to store, share, visualize...
AbstractRecent developments in data management and imaging technologies have significantly affected ...
AbstractNeuroimaging data collection is inherently expensive. Maximizing the return on investment in...
Accurate data collection at the ground level is vital to the integrity of neuroimaging research. Sim...
Accurate data collection at the ground level is vital to the integrity of neuroimaging research. Sim...
Significant resources around the world have been invested in neuroimaging studies of brain function ...
Significant resources around the world have been invested in neuroimaging studies of brain function ...
There is growing recognition of the importance of data sharing in the neurosciences, and in particul...
AbstractNeuroimaging has been facing a data deluge characterized by the exponential growth of both r...
The neuroimaging community has been increasingly called up to openly share data. Although data shari...
The sharing of research data is essential to ensure reproducibility and maximize the impact of publi...
Neuroscience research is resulting in an enormous accu-mulation of complex data. The explosive growt...
Efficient data sharing is hampered by an array of organizational, ethical, behavioral, and technical...
Neuroscientists increasingly need to work with big data in order to derive meaningful results in the...
Efficient data sharing is hampered by an array of organizational, ethical, behavioral, and technical...
Here we present NeuroVault—a web based repository that allows researchers to store, share, visualize...
AbstractRecent developments in data management and imaging technologies have significantly affected ...