Welcome to the Data Modality & Methodology Task Force 2025!
This group brings together researchers interested in building tools, workflows, and examples to support reproducible, collaborative analysis of Parkinson’s data across different modalities. Whether you’re just getting started or have deep expertise, you’re invited to participate.
Scope and Aims
Our goal is to provide example-driven guidance and reusable tools that help researchers across a range of data types—including imaging, clinical, omics, and more.
We aim to:
- Share examples of standard methods and good practices across modalities
- Foster reproducible and collaborative analysis workflows
- Build on existing projects while creating space for new efforts based on community expertise and interest
2024 Project Summary
Last year, we launched five open-source projects. These resources are publicly available and designed to grow with your input. We will also host a webinar later this year to introduce these tools and share usage examples.
- Open Science Guide
A living web book that provides practical guidance on open science, transparent and reproducible research. - Small Project Template
A lightweight GitHub template to support structured, reproducible, and collaborative analysis projects. - Useful PPMI Clinical Codes
A curated set of clinical codes used in PPM, including LEDD calculation, medical condition tagging, and medication parsing–organized for practical reuse in downstream analysis. - Imaging Processing Repository
Scripts, documentation, and examples for handling and preprocessing imaging data and extracting imaging features - PIE: Parkinson’s Insight Engine
A flexible, modular machine learning pipeline for multi-modal PPMI data from preprocessing to model evaluation. Modules include data loader, feature engineering, model building and reporting.
- Here is last year’s main discussion thread.
2025 Opportunities
To build upon our existing foundations, we aim to launch new collaborative projects. For the current year, potential focus areas encompass, but are not limited to:
- Expanding imaging scripts
- Integrating related repositories and projects
- Developing a data wrangling guide web-book
- Exploring epidemiology, epistatistics, and epigenetics methodologies
- Establishing multi-omics scaffolding / integration
- Working with sensor and wearable data
- Applying AI/ML methods
- Your ideas!
How to get involved
Everyone is welcome to participate, whether you want to lead a new project or just stay informed.
You can:
- Propose and lead a new project
- Contribute to existing repositories (code, examples, documentation, feedback)
- Post ideas and suggestions directly in this thread—small or big, all are welcome
- Join our bimonthly meetings for updates and collaboration
We will hold an initial kickoff meeting in July (TBD). The session will be recorded for those who can’t attend live.
Looking forward to another productive and creative year. Feel free to join us, send questions to @ehutchins or @hirotaka, or share your ideas below.
— Data Modality & Methodology Task Force Co-Chairs, @hirotaka and @ehutchins