DNAdigest is inviting you a day of brainstorming, ideation and hacking for the benefit of genetics research.
Registration starts at 8:30 and the Hack Day activities start at 9:00. Detailed agenda and venue (in Cambridge) will follow.
Please share the eventbrite event with your friends: http://dnadigest-hackday.eventbrite.com/
How can we solve the problem of data sharing in genomics research?
Today, open sharing and easy access to DNA sequencing data from clinical samples is limited due to privacy concerns and interoperability difficulties. The lack of sharing impedes the progress of genomics research, affecting all genetic disease research from cancer to rare diseases. At the DNAdigest Hack Day we will brainstorm ideas and hack prototypes for solutions.
Who is invited?
Everyone with an interest in the topic including software developers, scientists, patients, medical professionals and family. A broad perspective from participants will allow for innovative ideas and unexpected solutions.
I love data, but know nothing of genetics?
You do not need to be well versed in neither genetics or data, as long as you are keen for solving problems. Our discussions will revolve about the cultural as well as the technical issues that need to be addressed.
What happens at the DNAdigest Hack Day?
We will give a basic introduction to the problem domain in the morning addressing the issues that hinder easy data access today. The general discussion will be followed by group workshops to identify the stakeholder perspectives, and in the afternoon we will form groups based on interests and hack and prototype our way towards feasible solutions.
Why do you do this ?
Easier access to data will speed up advancements in research for treatments and cures for genetic diseases. At DNAdigest we believe that the research community owe good data management to the patients that have consented for their data to be used for research.
Join the DNAdigest Hack Day to make solutions happen
Keywords: #OpenScience #OpenData #EMR #ReproducibleResults #HackDay #rarediseases #cancer #research #genetics #genomics #bioinformatics #BigData
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