Beyond protocol standardization: The importance of data curation and software transparency

• Published in: Journal of Parkinson's disease p. 1877718X251377876
• Main Authors: Welzel, Julius, Jacobsen, Nadine, Cockx, Helena, Jeung, Sein, Romijnders, Robbin, Hansen, Clint, Wollesen, Bettina, Maetzler, Walter
• Format: Journal Article
• Language: English
• Published: United States 18.09.2025
• Subjects: mobility; Parkinson's disease; wearable technology; Open Science; movement analysis
• ISSN: 1877-7171; 1877-718X
• DOI: 10.1177/1877718X251377876

Mancini et al.'s framework for gait assessment in Parkinson's disease (PD) is a valuable contribution, enabling a harmonization of study protocols in this research field and, consequently, a substantial improvement of data interpretation across different cohorts. However, we believe that recommendations concerning data curation and software use should be provided in more detail. To ensure data interoperability and facilitate robust data aggregation from such protocols, appropriate and harmonized data formatting and metadata standards are necessary. We further advocate for the open sharing of gait analysis algorithms, to enhance reproducibility and foster collaborative development. Why Data Sharing and Open Software Matter for Parkinson's Gait Studies Plain Language Summary: Understanding how Parkinson's disease affects gait is important for improving diagnosis and treatment. A recent study suggested that researchers should use the same protocol when studying walking in people with Parkinson's disease. This would help scientists compare and combine their results more easily, making research more reliable. While this is a great step forward, we believe it is also important to focus on how the data from these studies is handled and shared. This includes making sure the data is clearly organized, stored in standard formats, and described with helpful background information (called metadata). These steps make it easier for different researchers to use the data together. We also recommend that researchers share algorithms they use to analyze the data. When these tools are openly available, it is easier to doublecheck results and build better tools through teamwork. Overall, better data practices and open sharing of software can help speed up progress in Parkinson's research and lead to better outcomes for people living with the disease.