Sharing Data For Better And More Efficient Science

By: Teige Bourke, Outreach Intern, Ontario Brain Institute

Brain disorders are not straightforward. Disorders like depression result from a complex interplay between an individual’s experiences and their biology. Understanding the underlying mechanisms requires a lot of information that can only be extracted through research that uses many different techniques with large groups of people. Continue reading “Sharing Data For Better And More Efficient Science”

Principles for Collective Research Acceleration

By: Suzanna Stevanoski, OBI Intern, Operations

Sharing data on a large-scale requires the creation of a highly sophisticated system, one that allows many researchers to connect, manage, protect, and standardize data. That’s why OBI is finding innovative ways to unite researchers in pooling their expertise and resources to achieve greater impact than they could have achieved in isolation. Continue reading “Principles for Collective Research Acceleration”

Expanding The Borders Of Research Through Cross-Disorder Collaborations

While autism, epilepsy, or depression may at first seem worlds apart, there is benefit in studying these and other brain disorders together. Each condition has unique traits, but there is often overlap. For instance, people living with autism may experience depression and people living with cerebral palsy may have seizures. Brain research is inherently complex – different disorders may share similar underlying causes and similar disorders may have very different underlying causes. Although this makes things complicated, it also creates an opportunity to borrow insights from one disorder to inform research into another disorder. Continue reading “Expanding The Borders Of Research Through Cross-Disorder Collaborations”

Brain-CODE’s Leadership

In this era of big data and analytics, organizations are looking for ways to make use of all the information available to facilitate innovation, decision making and operations. Big data analytics in health research has been an important topic for the past few years and making data more accessible to a larger number of researchers leads to more efficient research strategies and creates new opportunities for scientific discoveries. When scientists have the opportunity to collaborate and share data, the value of each of their work is maximized and can be built on collectively. Continue reading “Brain-CODE’s Leadership”

Training for New Kinds of Neuro-Talent

Ontario is recognized as a world leader in brain research but the province’s healthcare system and economy have room to benefit from stronger efforts in science innovation.  An asset that is of critical value but is often overlooked is access to the right kinds of people—in this case, people that have the skillset to move scientific ideas into the marketplace. Continue reading “Training for New Kinds of Neuro-Talent”

Joining Global Discussions on Data Sharing

In OBI’s goal to improve brain health, research data are one of the basic building blocks.  Data are assets that hold value because they can be shared, analysed, and reused in different ways to support new discoveries and reduce the loss of resources. One opportunity to reuse data and uncover new insights is the linking of routinely collected population and healthcare data, or ‘broad’ data, with ‘deep’ research data (e.g., imaging, genetics, etc.).  To harness data’s full potential, OBI has developed several initiatives including an informatics platform, an international workshop, and internships to address linking and sharing data in new ways. Continue reading “Joining Global Discussions on Data Sharing”

Addressing Dementia Research And Care: Can ‘Big Data’ Help?

We live in a world of big data which can serve as a particularly useful tool for health systems to gain a better understanding of patients and their needs across large populations. With appropriate use, big data has the potential to advance health research and help healthcare providers personalize care; however, this has been largely unrealized because of the challenges associated with connecting, processing, and analyzing large data sets to produce meaningful conclusions. Continue reading “Addressing Dementia Research And Care: Can ‘Big Data’ Help?”