Tools for business process automation, robotic process automation (RPA), data integration, and data pipelines (ETL / ELT) at University of Michigan and Michigan Medicine.
This article summarizes the tools available for collaboration, file storage and file sharing at University of Michigan and Michigan Medicine.
A listing of U-M and MM offices and research cores that provide data-related consultation services, including those with expertise with mobile data and mental health data.
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.
A compilation of software and cloud services for creating forms, surveys, polls, questionnaires, etc. A compilation of software and cloud services for electronic data capture, forms, surveys, polls, questionnaires, etc. Find the right survey tool for business, clinical or research use.
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.
This article shows how researchers can make use of an open source data dictionary tool called SchemaSpy to help create professional, easy-to-understand documentation for their datasets. Specific instructions are provided for Oracle, Microsoft SQL Server, CSV, SQlite, R, and Python + Pandas.
Learn about using mobile data in research. These are the Mobile Data Expert Network (MDEN) recordings available from the 2022-2023 academic year.
This article is a listing of data dictionaries and data models for datasets that utilize mobile data (wearables, mobile apps, surveys, smartwatch apps, phone sensors, and more).