Data Management for SBE Research

Introduces the basics of planning for and managing data generated through SBE research involving human participants.

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About this Course

This course aims to introduce members of the IRB community and SBE researchers to key aspects of data management. 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.

The course authors present strategies to plan for data management, including developing a data management plan. Further, they consider how to gauge and assess when data may be sensitive and when to apply additional protections and safeguards.

Language Availability: English

Suggested Audiences: IRB Members, SBE Researchers, 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

Understanding and Planning for Data Management in Social, Behavioral, and Educational (SBE) Research CME/CEU Badge

Explores strategies to plan for data management in a research project. It discusses the purpose of and steps to creating a data management plan (DMP), how to integrate data management practices into a research project, and related resources that are available for researchers and research teams.

Recommended Use: Required
ID (Language): 20691 (English)
Author(s): Dessi Kirilova, MA - Qualitative Data Repository; Diana Kapiszewski, PhD - Georgetown University and Qualitative Data Repository

Understanding and Gauging the Sensitivity of Human Participant Data CME/CEU Badge

This module discusses key ethical expectations about managing data with different levels of sensitivity that emerge from research with human participants. This module explores strategies for gauging the sensitivity of data and discusses how researchers should plan for and manage sensitive data.

Recommended Use: Required
ID (Language): 20692 (English)
Author(s): Dessi Kirilova, MA - Qualitative Data Repository; Diana Kapiszewski, PhD - Georgetown University and Qualitative Data Repository

Managing Human Participant Data in Practice CME/CEU Badge

This module focuses on the concrete steps that researchers should take to manage all their data as they collect them, including data capture and documentation, data storage, and creating back-ups of the data. The module provides practical details about each step regarding the management of human participant data and discusses how to manage sensitive data effectively.

Recommended Use: Required
ID (Language): 20693 (English)
Author(s): Dessi Kirilova, MA - Qualitative Data Repository; Diana Kapiszewski, PhD - Georgetown University and Qualitative Data Repository


CME/CEU Credits

To earn CE credits and units, you need to be affiliated with an organization that subscribes to this course or subscribe as an independent learner first. Learn more about CE/CME Credits.

All Participants
IACET CEU
Maximum 0.3 CEUs
(3 CE Certified modules)
No charge
May 1, 2025
July 31, 2027


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