Research Basics: Fundamentals of Data Management

This introductory course outlines basic data management concepts and demonstrates 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. Topics include understanding basic data management terminology, outlining data management processes and identifying tools commonly used by data managers. No prior data management experience or technical background is necessary. This module is not a substitute for any required training from the university, your department or your sponsor.

Learning Objectives

Learn basic data management concepts and how to improve data quality
Speak the language of data management and discover how the concepts can be applied to the everyday management of research data

Competencies
Data management and informatics
MICHR
Organization
Level
Fundamental
Fee
No
Delivery Method
Online
This content was originally submitted to the Development, Implementation, and Assessment of Novel Training in Domain-based Competencies (DIAMOND) project. DIAMOND is a collaborative effort by the University of Michigan, University of Rochester, The Ohio State University, and Tufts University to provide a nationally crowd-sourced, federated, online catalog for practitioners to find and contribute training and assessment materials. If you have questions or have updated information regarding this content, please email education@clic-ctsa.org.

Submitted by CLIC Admin on Sun, 01/10/2021 - 23:12 . Last modified on 02/15/2021