Data Curation Archiving Training Course

Course Overview

This comprehensive course offered by IRES provides a comprehensive understanding of the principles and practices involved in managing and preserving data throughout its lifecycle. Participants will gain practical skills in data curation, including the use of Dataverse software, to ensure data is properly organized, stored, and accessible for future use. This course addresses the critical need for robust data management strategies in various sectors, including academia, research, and industry, where data integrity and longevity are paramount. Dataverse Software will be a key tool in this course, allowing participants to engage in hands-on experience with a leading open-source platform designed for data sharing and archiving. Dataverse enables users to create and manage datasets, apply metadata, and maintain data accessibility while ensuring compliance with data stewardship best practices.

Duration

5 Days

Target Audience

• Data managers and librarians
• Researchers and academics
• Data scientists and analysts
• IT professionals in data management
• Archivists and curators
• Compliance and regulatory professionals

Organizational Impact

• Enhanced data management practices
• Improved data accessibility and usability
• Better compliance with data preservation standards
• Increased efficiency in data archiving processes

Personal Impact

• Improved skills in data curation and management
• Practical experience with Dataverse software
• Enhanced understanding of data preservation techniques
• Increased employability in data-related roles

Course Level: Intermediate

Course Objectives

• Understand the fundamentals of data curation and archiving.
• Gain practical experience with Dataverse software for data management.
• Learn best practices for metadata application and data preservation.
• Develop skills to ensure data accessibility and integrity.
• Implement strategies for long-term data stewardship.

Course Outline

Module 1: Introduction to Data Curation and Archiving

• Overview of data curation and archiving
• Importance of data preservation
• Key concepts and terminologies
• Introduction to Dataverse software
• Case Study: Implementation of a data curation strategy in a research institution

Module 2: Metadata Standards and Practices

• Understanding metadata and its role in data curation
• Common metadata standards and schemas
• Practical application of metadata in Dataverse
• Techniques for metadata creation and management
• Case Study: Metadata standardization in a university data repository

Module 3: Using Dataverse for Data Management

• Setting up and configuring Dataverse
• Creating and managing datasets
• Uploading and sharing data using Dataverse
• Managing user access and permissions
• Case Study: Managing large-scale data projects with Dataverse in a research lab

Module 4: Data Preservation Techniques

• Best practices for long-term data preservation
• Techniques for ensuring data integrity and security
• Using Dataverse to implement preservation strategies
• Troubleshooting common issues in data preservation
• Case Study: Preserving historical data collections in a museum archive

Module 5: Compliance and Data Stewardship

• Understanding data stewardship and its importance
• Compliance with data protection regulations
• Implementing data stewardship practices using Dataverse
• Evaluating and improving data stewardship processes
• Case Study: Compliance with data regulations in a corporate data repository