The IPDGC/GP2 Hackathon - an open science event for training in data science, genomics, and collaboration using Parkinson’s disease data
(2023) In npj Parkinson's Disease 9(1).- 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... (More)
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.
(Less)
- author
- author collaboration
- organization
- publishing date
- 2023-12
- type
- Contribution to journal
- publication status
- published
- subject
- in
- npj Parkinson's Disease
- volume
- 9
- issue
- 1
- article number
- 33
- publisher
- Springer Nature
- external identifiers
-
- pmid:36871034
- scopus:85150211681
- ISSN
- 2373-8057
- DOI
- 10.1038/s41531-023-00472-6
- language
- English
- LU publication?
- yes
- id
- c4346125-b4bf-44c9-a5d2-499069423686
- date added to LUP
- 2023-05-08 08:52:03
- date last changed
- 2024-09-07 10:48:33
@article{c4346125-b4bf-44c9-a5d2-499069423686, abstract = {{<p>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.</p>}}, author = {{Leonard, Hampton L. and Murtadha, Ruqaya and Martinez-Carrasco, Alejandro and Jama, Alina and Müller-Nedebock, Amica Corda and Gil-Martinez, Ana Luisa and Illarionova, Anastasia and Moore, Anni and Bustos, Bernabe I. and Jadhav, Bharati and Huxford, Brook and Storm, Catherine and Towns, Clodagh and Vitale, Dan and Chetty, Devina and Yu, Eric and Grenn, Francis P. and Salazar, Gabriela and Rateau, Geoffrey and Iwaki, Hirotaka and Elsayed, Inas and Foote, Isabelle Francesca and Jansen van Rensburg, Zuné and Kim, Jonggeol Jeff and Yuan, Jie and Lake, Julie and Brolin, Kajsa and Senkevich, Konstantin and Wu, Lesley and Tan, Manuela M.X. and Makarious, Mary B. and Ta, Michael and Pillay, Nikita Simone and Betancor, Oswaldo Lorenzo and Reyes-Pérez, Paula R. and Alvarez Jerez, Pilar and Saini, Prabhjyot and al-Ouran, Rami and Sivakumar, Ramiya and Real, Raquel and Reynolds, Regina H. and Hu, Ruifneg and Abrahams, Shameemah and Rao, Shilpa C. and Antar, Tarek and Leal, Thiago Peixoto and Iankova, Vassilena and Scotton, William J. and Song, Yeajin}}, issn = {{2373-8057}}, language = {{eng}}, number = {{1}}, publisher = {{Springer Nature}}, series = {{npj Parkinson's Disease}}, title = {{The IPDGC/GP2 Hackathon - an open science event for training in data science, genomics, and collaboration using Parkinson’s disease data}}, url = {{http://dx.doi.org/10.1038/s41531-023-00472-6}}, doi = {{10.1038/s41531-023-00472-6}}, volume = {{9}}, year = {{2023}}, }