Data Management for Biomedical Research

Introduces the basics of planning for, managing, sharing, and archiving data generated through biomedical research involving human participants.

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About this Course

This course aims to introduce biomedical researchers and members of the IRB community to key aspects of data management and sharing. The course provides insights on both practical and ethical issues related to managing data generated through human subjects research and uses examples to explain and illustrate core concepts.

It is intended to help researchers develop and enhance their research data management skills, so they can both use the data that they generate productively for their own work, and potentially enable other scholars do the same as secondary users of the same data.

Language Availability: English

Suggested Audiences: Biomedical Researchers, IRB Members, Students

Organizational Subscription Price: Included as part of an annual subscription to our Data Management Series, which is available as part of an organizational subscription package or for $675 per year/per site as a subscription add-on for government and non-profit organizations; $750 per year/per site as a subscription add-on for for-profit organizations
Independent Learner Price: $99 per person

Demo Instructions

Course Content

Data Management Planning

The first module of the course introduces learners to the components of the research data lifecycle. The module defines key terms in data management and concludes with identifying the necessary components in a data management plan and steps to writing your own plan.

Recommended Use: Required
ID (Language): 21200 (English)
Author(s): Ibraheem Ali, PhD - University of California, Los Angeles

Data Acquisition and Collection

This module defines data, data collection and data acquisition, and identifies the common types and sources of data. It discusses strategies to organize data and classify data effectively. It describes the purpose of data sharing agreements, including data use agreements, and their common terms. It concludes by examining some of the regulations applicable to research with data.

Recommended Use: Required
ID (Language): 21201 (English)
Author(s): Leslie Howes, MPH, CIP - Harvard T.H. Chan School of Public Health

Data Analysis, Storage, and Security

In this module, the presenter discusses factors the influence data storage. The modules presents data analysis tools that can facilitate research and reviews data storage considerations, including describing key elements of a data risk assessment. Further, the module identifies data security risks and strategies to mitigate them.

Recommended Use: Required
ID (Language): 21202 (English)
Author(s): Leslie Howes, MPH, CIP - Harvard T.H. Chan School of Public Health

Data Sharing and Archiving

The final module of the course explores the importance of sharing data as part of research publishing. It discusses components of a data sharing plan and describes strategies to prepare for data sharing. It also helps researchers identify appropriate repositories to share and archive data.

Recommended Use: Required
ID (Language): 21203 (English)
Author(s): Ibraheem Ali, PhD - University of California, Los Angeles

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