Aligning Science Across Parkinson’s (ASAP) Open Science Champions are awarded to labs or individuals within the ASAP Collaborative Research Network (CRN) who have demonstrated a strong commitment to open science in their work to advance Parkinson’s disease research.
Open Science Champions typically exemplify one of the following personas:
Goes above and beyond to make data, lab resources, protocols, code, and analysis scripts openly available, enabling others to replicate and build upon their work
Values community-based research infrastructure to increase transparency, interoperability, and the long-term sustainability of science, while encouraging the use and development of open source software code and tools, community consensus standards, and new data infrastructure that addresses unmet needs
Teaches other researchers about open science approaches and tools, while encouraging training and education to make science open and accessible
Dedicated to implementing the ASAP Open Science Policy and exemplifying the ethos of open science, publishing in open access journals, depositing preprints early, and going above and beyond to ensure their work reflects open science best practices
Ines Rodrigues-Vaz, PhD, a research scientist on Team Surmeier, is recognized as an Open Science Champion for publicly sharing over 30 TB of histology, behavioral, and in vivo imaging data in discipline-specific repositories, generating protocols, and ensuring the accuracy of shared resources.
Elena Coccia, PhD, a postdoc on Team Vangheluwe, is recognized as an Open Science Champion for being highly responsive in ensuring her recent preprint was compliant with ASAP’s Open Science Policy. Elena responded to each compliance report in under three weeks and provided clear, itemized responses to ensure her manuscript became compliant quickly and seamlessly.
Kaelyn Long, a research associate on Team Microbiome Analytics Core (MAC), has been a recognizable contributor to open science in Parkinson's disease research. Notably, Kaelyn was highly collaborative and responsive in organizing metagenomic data submissions, a data type only recently accepted into the CRN Cloud. Their efforts established a standard that will aid the team in ensuring the reproducibility of future metagenomic research.
Joanne Stasiak, a graduate student on Team Strick, is recognized as an Open Science Champion for demonstrating exemplary open science practices in the preprinting and publication of her recent paper. She readily shared all fMRI data on OpenNeuro, properly formatted her tabular data, included codebooks defining each variable, and shared all scripts for fMRI tasks and statistical analyses on GitHub and Zenodo with renv.lock and requirements.txt files. She also provided a clear, itemized response to an initial open science compliance review.
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Ines Rodrigues-Vaz, PhD, a research scientist on Team Surmeier, is recognized as an Open Science Champion for publicly sharing over 30 TB of histology, behavioral, and in vivo imaging data in discipline-specific repositories, generating protocols, and ensuring the accuracy of shared resources.
Elena Coccia, PhD, a postdoc on Team Vangheluwe, is recognized as an Open Science Champion for being highly responsive in ensuring her recent preprint was compliant with ASAP’s Open Science Policy. Elena responded to each compliance report in under three weeks and provided clear, itemized responses to ensure her manuscript became compliant quickly and seamlessly.
Kaelyn Long, a research associate on Team Microbiome Analytics Core (MAC), has been a recognizable contributor to open science in Parkinson’s disease research. Notably, Kaelyn was highly collaborative and responsive in organizing metagenomic data submissions, a data type only recently accepted into the CRN Cloud. Their efforts established a standard that will aid the team in ensuring the reproducibility of future metagenomic research.
Joanne Stasiak, a graduate student on Team Strick, is recognized as an Open Science Champion for demonstrating exemplary open science practices in the preprinting and publication of her recent paper. She readily shared all fMRI data on OpenNeuro, properly formatted her tabular data, included codebooks defining each variable, and shared all scripts for fMRI tasks and statistical analyses on GitHub and Zenodo with renv.lock and requirements.txt files. She also provided a clear, itemized response to an initial open science compliance review.
ASAP recognizes individuals and labs that have been nominated by their peers as Network Spotlights for their outstanding contributions to ASAP’s mission. Together, we are accelerating the pace of discovery for Parkinson’s disease through collaboration, research-enabling resources, and data sharing.
