Try to recall all the superhero movies you have watched. Many of us would agree that the films which are most captivating are those where superheroes collaborate as a team to defeat a near invincible villain – like in The Avengers. When there is collaboration, there is trust., President and CEO of the AMIA (American Medical Informatics Association) mentioned a phrase in a panel discussion we were on in 2012 that stuck with me. “Information moves at the speed of trust.” And, trust is at the heart of any collaboration. New forms of trust and collaboration networks have been forming since 2008, and the “bitcoin” is a great example of this. The “BlockChain” method behind bitcoin, discussed in an published by The Economist and illustrated in the figure below is a new approach to trust and collaboration.
Scientists are our Modern-day X-Men
Taking this parallel and comparing it to the sphere of scientific research – notably in biomedical sciences, this is an area where breakthroughs can deliver better health outcomes for mankind – like superheroes do, but only if scientists have the means of working together. All humans are continuously mutating; and I’d like to think that scientists are our modern day X-Men (and Women)!
The two most exciting disruptions in science recently areand the . Both of these innovations have enormous implications for biomedical sciences and the future of healthcare advancements.
Recently, a young girl in London with Leukemia was treated with. This case used a gene editing enzyme system called TALEN. This is but one of the many leaps that have been made possible through collaborative scientific research.
Fueling and Steering Scientific Research
Research is fueled by data. Discoveries are steered by the management of data. Even superheroes like Iron Man and The Incredible Hulk need some form of cognitive direction to focus their superhuman powers in order to achieve a common desired outcome. To build trust and collaboration frameworks, we need a single logical container of data. And this is why EMC has theconcept: a multi-user, multi-protocol, multi-application container for data which is geo-aware and secure.
We know that research is ultra-data intensive. To implementat population health scale, there are two pivots: Collaboration and Asia. The (MGI) engages in national and international collaborative projects in comparative genomics and genetics, structural and synthetic biology, computational and systems biology, and metabolic engineering. When MGI does DNA sequencing, whole genome sequencing, whole transcriptome sequencing, and targeted sequencing, a single run generates 13 terabytes of data. That’s equivalent to over 2.6 million songs in your iPod.
Being able to discover insights through large chunks of data is what differentiates progress from stalemate for the institution and its partners. MGI had a problem. As MGI increased its storage capacity to cope with the influx of research data, data processing speed decreased, which slowed down analysis work.
That was before MGI adoptedwith its fast next-generation sequencing architecture. With the added benefit of having data access provided directly to users, this has also curbed the problem of bottlenecks within workflows and ensured ease of collaboration.
Read theto learn more.
Tools for Teamwork in Research
Singapore’s(A*STAR) is a single agency that oversees 14 biomedical sciences, physical sciences, and engineering institutes as well as six consortia and centers.
So how does A*STAR encourage collaboration amongst scientists housed in different institutions?
There were two key issues A*STAR needed to address. One, sharing of data between institutions was done manually by researchers, who had to make a copy to transfer it to another party. It was both time consuming and wasteful in terms of storage due to the duplication of data within localized machines.
Two, long procurement periods – three to nine months – meant A*STAR didn’t have the means to scale up storage when the demand called for it. The opportunity cost was great.
Following the deployment of a comprehensive EMC Isilon platform, all that changed. Atop the increase in usable capacity with an option to scale on demand, researchers could now assign their data to a central storage, which could be shared within and across research institutes.
Says Lai Loong Fong, Director, Computational Resource Centre at A*STAR. “Users have been receptive to the new model. They are looking forward to the new features we can offer them to provide greater flexibility in accessing research data through their mobiles or laptops when they are working and meeting outside of the labs. It’s another way we can support innovation and collaboration across all of our research disciplines.”
Read theto learn more.
Subject Data Protection
According to, the use of humans as research subjects has aided significant scientific discoveries such as the Human Genome Project. That being said, given that one’s genome contains personal health and other privy information, there needs to be measures in place to protect each subject’s privacy and prevent the loss of information. There are Ethical, Legal and Social Implication (ELSI) issues which can be resolved by trust and collaboration, as published by the .
Looking at A*STAR as an example again, the agency has incorporatedinto their platform which offers data protection through secure inbox snapshots and access to near-immediate, on-demand snapshot restores.
The sum of many great minds can achieve much greater things than the sum of one. And even greater still, scalable data storage on the cloud now makes it possible for great minds to work together, regardless of where they are. We can only begin to imagine what our modern-day science X-Men would be able to actualize in these new dynamic and secure collaborative environments.
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