The IPDGC/GP2 Hackathon - an open science event for training in data science, genomics, and collaboration using Parkinson's disease data
Hampton L. LeonardiD, Ruqaya Murtadha, Alejandro Martínez-CarrascoiD, Alina Jama, Amica Corda Müller-NedebockiD, Ana Luisa Gil-MartíneziD, Anastasia IllarionovaiD, Anni K. MooreiD, Bernabé I. BustosiD, Bharati Jadhav, Brook HuxfordiD, Catherine S. StormiD, Clodagh TownsiD, Dan VitaleiD, Devina ChettyiD, Eric YuiD, Francis P. Grenn, Gabriela Salazar, Geoffrey Rateau, Hirotaka IwakiiD, Inas ElsayediD, Isabelle Francesca FooteiD, Zuné Jansen van RensburgiD, Jonggeol Jeff Kim, Jie YuaniD, , Alastair John NoyceiD
Abstract
BackgroundOpen science and collaboration are necessary to facilitate the advancement of Parkinsons disease (PD) research. Hackathons are collaborative events that bring together people with different skill sets and backgrounds to generate resources and creative solutions to problems. These events can be used as training and networking opportunities. ObjectiveTo coordinate a virtual hackathon to develop novel PD research tools. Methods49 early career scientists from 12 countries collaborated in a virtual 3-day hackathon event in May 2021, during which they built tools and pipelines with a focus on PD. Resources were created with the goal of helping scientists accelerate their own research by having access to the necessary code and tools. ResultsEach team was allocated one of nine different projects, each with a different goal. These included developing post-genome-wide association studies (GWAS) analysis pipelines, downstream analysis of genetic variation pipelines, and various visualization tools. ConclusionHackathons are a valuable approach to inspire creative thinking, supplement training in data science, and foster collaborative scientific relationships, which are foundational practices for early career researchers. The resources generated can be used to accelerate research on the genetics of PD.
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