Data Curation Archiving Training Course

Description

Course Overview

Effective data curation and archiving are essential for maintaining data integrity, accessibility, and compliance across various sectors, including academia, research, and industry. This comprehensive 5-day training equips participants with practical skills in data management and preservation, focusing on Dataverse software—a leading open-source platform for data sharing and archiving.

Through interactive workshops, real-world case studies, and hands-on training, participants will learn how to curate, store, and manage data efficiently, ensuring compliance with data stewardship best practices.

Course Details

• Duration: 5 Days

• Level: Intermediate

• Delivery Mode: In-person / Virtual

Who Should Attend?

This training is designed for professionals involved in data management, research, and compliance, including:
✔ Data Managers & Librarians
✔ Researchers & Academics
✔ Data Scientists & Analysts
✔ IT Professionals in Data Management
✔ Archivists & Curators
✔ Compliance & Regulatory Professionals

Why Attend?

Personal Benefits

✅ Gain practical experience with Dataverse software
✅ Enhance your ability to organize, store, and preserve data
✅ Develop expertise in metadata application and data stewardship
✅ Boost your career prospects in data-related roles

Organizational Benefits

🏢 Improve data management and accessibility within the organization
🏢 Ensure compliance with data preservation standards
🏢 Enhance efficiency in data archiving processes
🏢 Strengthen long-term data stewardship practices

Course Objectives

By the end of this training, participants will be able to:
✔ Understand the fundamentals of data curation and archiving
✔ Use Dataverse software to manage and preserve data
✔ Apply best practices for metadata creation and management
✔ Ensure data integrity and long-term accessibility
✔ Implement compliance-driven data stewardship strategies

Course Outline

📌 Module 1: Introduction to Data Curation and Archiving

🔹 Overview of data curation and its importance
🔹 Key concepts and terminologies in data preservation
🔹 Introduction to Dataverse software and its functionalities
🔹 Best practices for implementing data curation strategies
📖 Case Study: Implementing a data curation strategy in a research institution

📌 Module 2: Metadata Standards and Practices

🔹 Understanding metadata and its role in data management
🔹 Common metadata standards and schemas
🔹 Applying metadata effectively in Dataverse
🔹 Techniques for metadata creation and organization
📖 Case Study: Metadata standardization in a university data repository

📌 Module 3: Using Dataverse for Data Management

🔹 Setting up and configuring Dataverse for data curation
🔹 Creating, managing, and sharing datasets
🔹 Uploading data and controlling user access permissions
🔹 Optimizing Dataverse for large-scale data projects
📖 Case Study: Managing large-scale research data projects using Dataverse

📌 Module 4: Data Preservation Techniques

🔹 Best practices for long-term data storage and security
🔹 Ensuring data integrity through validation techniques
🔹 Using Dataverse to implement effective preservation strategies
🔹 Troubleshooting common data preservation challenges
📖 Case Study: Preserving historical data collections in a museum archive

📌 Module 5: Compliance and Data Stewardship

🔹 Understanding data stewardship and its role in compliance
🔹 Legal and regulatory considerations in data management
🔹 Implementing compliance-driven data preservation strategies
🔹 Evaluating and improving data stewardship processes
📖 Case Study: Ensuring regulatory compliance in a corporate data repository