Daniel Liévano
Illustrator
From this contributor
Pooling data points to new potential treatment for spinal cord injury
By gathering raw data from multiple labs, we identified an overlooked predictor of recovery after spinal cord injury. Many more insights remain trapped in scattered data.
We found a major flaw in a scientific reagent used in thousands of neuroscience experiments — and we’re trying to fix it.
As part of that ambition, we launched a public-private partnership to systematically evaluate antibodies used to study neurological disease, and we plan to make all the data freely available.
Simply making data publicly available isn’t enough. We need to make it easy — that requires community buy-in.
I helped create a standard to make it easy to upload, analyze and compare functional MRI data. An ecosystem of tools has since grown up around it, boosting reproducibility and speeding up research.
Incentivizing data-sharing in neuroscience: How about a little customer service?
To make data truly reusable, we need to invest in data curators, who help people enter the information into repositories.
Incentivizing data-sharing in neuroscience: How about a little customer service?
Explore more from The Transmitter
Spina bifida; MDMA effects in a mouse model of autism; maternal autoantibodies
Here is a roundup of autism-related news and research spotted around the web for the week of 13 May.
Spina bifida; MDMA effects in a mouse model of autism; maternal autoantibodies
Here is a roundup of autism-related news and research spotted around the web for the week of 13 May.
Autism research is becoming more diverse but not yet more global
Hosting the International Society for Autism Research annual meeting—which starts tomorrow—in Australia takes a step in that direction, making it easier for researchers, clinicians and advocates from the Western Pacific Region to participate.
Autism research is becoming more diverse but not yet more global
Hosting the International Society for Autism Research annual meeting—which starts tomorrow—in Australia takes a step in that direction, making it easier for researchers, clinicians and advocates from the Western Pacific Region to participate.
Should we use the computational or the network approach to analyze functional brain-imaging data—why not both?
Emerging methods make it possible to combine the two tactics from opposite ends of the analytic spectrum, enabling scientists to have their cake and eat it too.
Should we use the computational or the network approach to analyze functional brain-imaging data—why not both?
Emerging methods make it possible to combine the two tactics from opposite ends of the analytic spectrum, enabling scientists to have their cake and eat it too.