Library Contact
Taubman Health Sciences Library
Contact:
Taubman Health Sciences Library
1135 E Catherine St.
Ann Arbor, MI 48109
1135 E Catherine St.
Ann Arbor, MI 48109
Getting Help
Informationists at the Taubman Health Sciences Library can help you manage your research data and recommend best practices for keeping your data usable, now and in the future.
We can provide guidance at at all stages of your research project. To arrange a consultation or for more information, email us at THLResearchDataCore@umich.edu.
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Primer for Researchers on How to Manage DataArteaga Cuevas, Maria; Taylor, Shawna; and Narlock, Mikala. (2023). Introduction to Research Data Management for Researchers. Data Curation Network GitHub Repository.
This primer provides a high-level overview for researchers on research data management and sharing practices during the planning, implementation and closing phases of typical research projects.
Learn More - Free Online Courses
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Research Basics: Fundamentals of Data ManagementThis self-guided course from U-M's Michigan Institute for Clinical and Health Research (MICHR) office is designed to outline basic data management concepts and demonstrate how data managers, or other study team members, can work to improve data quality. You will learn to speak the language of data management and discover how the concepts presented can be applied to the everyday management of research data.
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Data Management for Clinical Research by Vanderbilt UniversityThis free online course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research.
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Nature MasterclassesFrom designing your experiments to advancing your career, Nature Masterclasses offer on-demand courses that cover the whole research cycle. Classes include "Managing Research Data to Unlock its Full Potential" and "Data Analysis: Planning and Preparing." To get started, you first need to Register and select "University of Michigan" as your institution.
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Sage CampusA collection of self-paced courses including some that are especially relevant for data management including: Gather Your Data Online, Introduction to Data Management, Introduction to Data Visualization, Introduction to R, and more. Be sure to click on "View All Available Courses" to see all course options!
U-M's Research Data Stewardship Initiative
The U-M Research Data Stewardship Initiative (RDSI) was launched in 2022 to help the U-M research community navigate the evolving research data landscape. RDSI aims to facilitate institution-wide communication, education, and coordination related to data use, stewardship, and sharing.
Learn more by checking out the links below.
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Resources for Research DataAcross all stages of the research life cycle and all fields of study, researchers should consider the potential long-term impacts on the eventual storage and preservation of research data. This page has resources for each stage of the research life cycle.
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Research Data Stewardship FAQsAnswers to some common questions about RDSI and data sharing.
MICHR Resources
The Michigan Institute for Clinical and Health Research (MICHR) provides a variety of services to assist researchers with their clinical research.
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MICHR ResourcesView a comprehensive list of pre- and post-award services, educational opportunities, and tools offered by MICHR.
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Online TrainingDiscover a diverse catalog of online training modules designed to support clinical research professionals.
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InformaticsHarness MICHR-supported infrastructure for efficient and secure use of research applications and platforms, including REDCap.
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BiostatisticsConsult with or hire a statistician for services that span the project life cycle; from study design to publication.
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REDCap TrainingLearn the basics of building a database using REDCap for electronic data capture.
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Database Development & SupportHire an experienced professional to build your database for you and provide ongoing project support.
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ClinicalTrials.gov SupportEngage a clinical research specialist to register your clinical trial and receive guidance to manage your ongoing CT.gov responsibilities.
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Data Management MentoringWork with a mentor to implement best practices and use related tools designed to improve data quality.
Other Data Management-Related Guides
Last Updated: Sep 23, 2025 12:04 PM
Subjects: Health Sciences