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Data and Code Dissemination Working Group

The Data and Code Dissemination working group works to enable open science by sharing meaningful data, analytical code, and results.

About the Data and Code Dissemination Working Group

We aim to enable open science by sharing meaningful data, analytical code, and results while balancing participant privacy, regulations, and data security.

GP2 has partnered with Accelerating Medicines Partnership: Parkinson’s Disease (AMP-PD), a PD genetics research platform, to distribute GP2 cohort data. GP2 data can be accessed and analyzed via AMP-PD.

You can visit GP2 GitHub to learn more. For additional genomics and machine learning tools, visit GenoML.

Meet the leads & co-leads

Lead

Bradford Casey, PhD

The Michael J Fox Foundation for Parkinson's Research | New York City, NY, USA

Co-Lead

Mary B Makarious, BSc

National Institutes of Health | USA

Meet the participants

Member

Jonggeol Jeff Kim, BA

National Institutes of Health | USA

Milestones

Completed

  • Establish best coding practices and policy using existing projects as a reference
  • Implement regular open office hours to serve as a contact point for feedback on public platforms

Active

  • Engage the GP2 community through bi-monthly meetings, emphasizing collaboration with URM and monogenic groups
  • Coordinate the releases of data and code products for consistency
  • Conduct landscape surveillance for tools and browsers in development within GP2
  • Promote collaboration on GitHub and maintain coding standards through collaborative review of analytical pipelines within the GP2 researcher network
  • Bridging user groups between internal and external GP2 data users
  • Curate and standardize resources including tutorials, documentation, and software

Not Started

  • Implement processes for end-of-project wrap-ups via the project proposals group
  • Develop a centralized JupyterBook on best practices for DCD data and code usage