Data-sharing
Recent articles
Neuroscience’s open-data revolution is just getting started
Data reuse represents an opportunity to accelerate the pace of science, reduce costs and increase the value of our collective research investments. New tools that make open data easier to use—and new pressures, including funding cuts—may increase uptake.
Neuroscience’s open-data revolution is just getting started
Data reuse represents an opportunity to accelerate the pace of science, reduce costs and increase the value of our collective research investments. New tools that make open data easier to use—and new pressures, including funding cuts—may increase uptake.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Expediting clinical trials for profound autism: Q&A with Matthew State
Aligning Research to Impact Autism, a new initiative funded by the Sergey Brin Family Foundation, wants to bring basic science discoveries to the clinic faster.
Expediting clinical trials for profound autism: Q&A with Matthew State
Aligning Research to Impact Autism, a new initiative funded by the Sergey Brin Family Foundation, wants to bring basic science discoveries to the clinic faster.
Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.
Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.
Dose, scan, repeat: Tracking the neurological effects of oral contraceptives
We know little about how the brain responds to oral contraceptives, despite their widespread use. I am committed to changing that: I scanned my brain 75 times over the course of a year and plan to make my data openly available.
Dose, scan, repeat: Tracking the neurological effects of oral contraceptives
We know little about how the brain responds to oral contraceptives, despite their widespread use. I am committed to changing that: I scanned my brain 75 times over the course of a year and plan to make my data openly available.
To keep or not to keep: Neurophysiology’s data dilemma
An exponential growth in data size presents neuroscientists with a significant challenge: Should we be keeping all raw data or focusing on processed datasets? I asked experimentalists and theorists for their thoughts.
To keep or not to keep: Neurophysiology’s data dilemma
An exponential growth in data size presents neuroscientists with a significant challenge: Should we be keeping all raw data or focusing on processed datasets? I asked experimentalists and theorists for their thoughts.
The S-index Challenge: Develop a metric to quantify data-sharing success
The NIH-sponsored effort aims to help incentivize scientists to share data. But many barriers to the widespread adoption of useful data-sharing remain.
The S-index Challenge: Develop a metric to quantify data-sharing success
The NIH-sponsored effort aims to help incentivize scientists to share data. But many barriers to the widespread adoption of useful data-sharing remain.
A README for open neuroscience
Making data (and code) useful for yourself automatically makes it useful for others.
A README for open neuroscience
Making data (and code) useful for yourself automatically makes it useful for others.
Neuroscience needs a career path for software engineers
Few institutions have mechanisms for the type of long-term positions that would best benefit the science.
Neuroscience needs a career path for software engineers
Few institutions have mechanisms for the type of long-term positions that would best benefit the science.
Neuroimaging researchers pen statement protesting UK Biobank data-access changes
The signatories asked the organization to grant all imaging researchers a data-download exemption until the cloud platform can accommodate their processing needs.
Neuroimaging researchers pen statement protesting UK Biobank data-access changes
The signatories asked the organization to grant all imaging researchers a data-download exemption until the cloud platform can accommodate their processing needs.
Explore more from The Transmitter
This paper changed my life: Victoria Abraira on a tasty link between circuits and behavior
The findings from Charles Zuker’s lab put the taste system on the map, revealing that some fundamental principles of behavior are hardwired.
This paper changed my life: Victoria Abraira on a tasty link between circuits and behavior
The findings from Charles Zuker’s lab put the taste system on the map, revealing that some fundamental principles of behavior are hardwired.
Neurophysiologic distinction between autism and schizophrenia; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 21 July.
Neurophysiologic distinction between autism and schizophrenia; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 21 July.
Breaking the jar: Why NeuroAI needs embodiment
Brain function is inexorably shaped by the body. Embracing this fact will benefit computational models of real brain function, as well as the design of artificial neural networks.
Breaking the jar: Why NeuroAI needs embodiment
Brain function is inexorably shaped by the body. Embracing this fact will benefit computational models of real brain function, as well as the design of artificial neural networks.