Introduction to Data Management

Format:

Book

Language:

English

Subjects (All):

Social sciences.

Physical Description:

Online course: (2hr.)

Place of Publication:

London : SAGE Publishing 2022

Summary:

This course equips learners with an understanding of the different types of data management. Provides learners with the tools and knowledge to manage data effectively, covering the strategies for organizing research data. Supports learners in sharing their data securely and effectively. This course will help learners to: •Recognize different types of research data, describe the importance of documenting their research and evaluate why and when to use metadata •Identify the benefits of data management and the sources of support, applying the best practices for successful data management •Determine responsibilities for data management in a research team and share data applying the FAIR principles. •Formulate a data management plan and engage with data management planning tools, support and guidance •Employ the options available to them to safely store their data and recognize the importance of data backups •Describe what is meant by data integrity, and explain its importance •Anonymize, encrypt, and destroy sensitive data when required for ethical reasons and describe what is meant by data integrity •Identify the perks of data sharing, both for personal growth and for advancing ideas and knowledge and protect their data once published and shared, by complying with data protection legislation •Recognize the difference between copyright, licence, and open access and how to control restrictions on their data MODULE ONE: UNDERSTANDING THE DIFFERENT TYPES OF RESEARCH DATA 1. Why Use Data Management? 2.Types of Data. 3.What is Metadata. 4.Creating Metadata Schemes. 5.The Data Life Cycle. 6.Checkpoint MODULE TWO: DATA MANAGEMENT PRINCIPLES AND BEST PRACTICE 1. The Benefits of Data Management. 2.Working in a Research Team. 3.The FAIR Principles. 4.Data Management Plans. 5.Checkpoint MODULE THREE: PLANNING A DATA MANAGEMENT STRATEGY 1. Data Management Planning Tools. 2.Strategies for Organizing Research Data. 3.Tools to Organize Your Data. 4.Checkpoint MODULE FOUR: ENSURING DATA INTEGRITY AND STORING DATA EFFECTIVELY 1.Backing Up Data. 2.Storing Your Data. 3.Data Integrity. 4.Checkpoint MODULE FIVE: THE BENEFITS OF SHARING DATA 1. The Principle of Sharing Data. 2.Protecting Confidentiality. 3.Data Ownership. 4.Types of Access and Restrictions. 5.Checkpoint

ISBN:

1-5297-9337-8

OCLC:

1329420968