npj Parkinson's Disease (Mar 2023)

The IPDGC/GP2 Hackathon - an open science event for training in data science, genomics, and collaboration using Parkinson’s disease data

  • Hampton L. Leonard,
  • Ruqaya Murtadha,
  • Alejandro Martinez-Carrasco,
  • Alina Jama,
  • Amica Corda Müller-Nedebock,
  • Ana-Luisa Gil-Martinez,
  • Anastasia Illarionova,
  • Anni Moore,
  • Bernabe I. Bustos,
  • Bharati Jadhav,
  • Brook Huxford,
  • Catherine Storm,
  • Clodagh Towns,
  • Dan Vitale,
  • Devina Chetty,
  • Eric Yu,
  • Francis P. Grenn,
  • Gabriela Salazar,
  • Geoffrey Rateau,
  • Hirotaka Iwaki,
  • Inas Elsayed,
  • Isabelle Francesca Foote,
  • Zuné Jansen van Rensburg,
  • Jonggeol Jeff Kim,
  • Jie Yuan,
  • Julie Lake,
  • Kajsa Brolin,
  • Konstantin Senkevich,
  • Lesley Wu,
  • Manuela M. X. Tan,
  • María Teresa Periñán,
  • Mary B. Makarious,
  • Michael Ta,
  • Nikita Simone Pillay,
  • Oswaldo Lorenzo Betancor,
  • Paula R. Reyes-Pérez,
  • Pilar Alvarez Jerez,
  • Prabhjyot Saini,
  • Rami al-Ouran,
  • Ramiya Sivakumar,
  • Raquel Real,
  • Regina H. Reynolds,
  • Ruifneg Hu,
  • Shameemah Abrahams,
  • Shilpa C. Rao,
  • Tarek Antar,
  • Thiago Peixoto Leal,
  • Vassilena Iankova,
  • William J. Scotton,
  • Yeajin Song,
  • Andrew Singleton,
  • Mike A. Nalls,
  • Sumit Dey,
  • Sara Bandres-Ciga,
  • Cornelis Blauwendraat,
  • Alastair J. Noyce,
  • on behalf of The International Parkinson Disease Genomics Consortium (IPDGC) and The Global Parkinson’s Genetics Program (GP2)

DOI
https://doi.org/10.1038/s41531-023-00472-6
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 10

Abstract

Read online

Abstract Open science and collaboration are necessary to facilitate the advancement of Parkinson’s 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, thus we coordinated a virtual 3-day hackathon event, during which 49 early-career scientists from 12 countries 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. Each 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. Hackathons 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.