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This article explores the importance of sharing code, addresses common reservations among researchers, and provides practical advice on how to share effectively. By increasing transparency and releasing code as open source, researchers not only meet the requirements of funding agencies and publications but also stimulate institutional, national, and global research progress.

Standardized data flow for research studies that utilize mobile technologies at the University of Michigan. It depicts how data typically moves from a smart watch or wearable device, into University resources behind a firewall, and finally lands on long-term storage for preservation and analytics.

Understanding the technology elements for a study utilizing wearable and mobile technologies will assist researchers during the study planning process in several ways.

- Build a more accurate study budget.
- Develop a Data Management & Sharing Plan, which can be a requirement for funders and journal submissions.
- Prepare for regulatory and compliance processes, like an Information Assurance (IA) review, if needed

This article provides general guidance for sharing mobile data, based on the lessons learned by members of MeTRIC (https://metric.umich.edu), and evolving best practices from government and academic institutions worldwide.