Published August 12, 2025 | Version v1
Video/Audio Open

MJFF Data Community Webinar: Open Science Guide - An Online Book for Transparent and Reproducible Data Science Projects in Parkinson's Disease

  • 1. ROR icon 23andMe (United States)
  • 2. ROR icon Data Tecnica International (United States)

Description

In this webinar, Dr. Matthew Kmiecik (23andMe) and Dr. Hirotaka Iwaki (DataTecnica) present their Open Science Guide, developed as part of the Data Modality and Methodology Task Force in MJFF's Data Community of Practice. Meant to serve as a primer on open science principles for Parkinson's disease researchers across all levels of expertise, the Open Science Guide contains reosurces and examples to facilitate open and reproducible science, particularly in the context of data science projects. 

This webinar was organized by the the Michael J. Fox Foundation's Data Community of Practice (DCoP). Do you have ideas or suggestions for other webinar topics you would like to see? Is there a tool you feel the community would benefit from highlighting? Let us know by leaving your thoughts in this thread: Seeking Webinar Ideas and Requests from the Community, or by contacting researchcommunity@michaeljfox.org. For those interested in joining or contributing to the DCoP, please visit rcop.michaeljfox.org.

Files

MJFF DCoP Webinar - Open Science Guide.mp4

Files (866.2 MB)

Name Size Download all
md5:3db80e70c51fb3c5aba58e4d3cfaef27
866.2 MB Preview Download