Data Curation And Research Data Management Training Course

Introduction

In today’s data-driven world, effective data curation and research data management are essential for ensuring data integrity, accessibility, and long-term usability. The Data Curation and Research Data Management Training Course is designed to equip professionals with the skills to manage, preserve, and share research data effectively throughout its lifecycle. This course emphasizes best practices, tools, and frameworks that enable researchers, librarians, and data managers to handle data responsibly, ensuring compliance with ethical standards and data policies. Participants will gain insights into data collection, storage, preservation, and dissemination strategies to maximize the value and impact of research data in a digital environment.

Target Audience
This course is ideal for:

• Researchers, scientists, and academicians handling large datasets.
• Data librarians, archivists, and data stewards in academic and research institutions.
• IT professionals and database managers responsible for data storage and security.
• Policy makers and administrators involved in data governance.
• Graduate students and professionals aspiring to specialize in data management.

Course Objectives
By the end of this training course, participants will be able to:

• Understand the principles of data curation and research data management, including the data lifecycle.
• Apply techniques for organizing, describing, and preserving research data to enhance its accessibility and usability.
• Utilize modern tools and platforms for data storage, sharing, and collaboration.
• Develop data management plans (DMPs) in alignment with institutional and funder requirements.
• Ensure compliance with ethical standards, data protection regulations, and FAIR (Findable, Accessible, Interoperable, and Reusable) principles.
• Implement strategies for long-term data preservation, archiving, and risk mitigation.
• Promote open science by adopting practices for data sharing and reusability.

This course provides a comprehensive foundation in data management practices, empowering participants to support the growing demands for efficient and ethical research data handling in diverse professional settings.

DURATION

5 Days

COURSE CONTENT

Introduction to Data Curation and Management

Overview of data curation and research data management.

Importance of data management in research and innovation.

Understanding the Data Lifecycle

Phases of the data lifecycle: planning, collection, analysis, sharing, preservation, and reuse.

Role of data managers in each phase.

Data Management Planning (DMPs)

Components of a robust data management plan.

Funder and institutional requirements for DMPs.

Metadata Standards and Data Documentation

Importance of metadata in data curation.

Metadata standards and best practices for research fields.

Data Organization and Storage

Techniques for organizing and naming files.

Strategies for secure data storage and backup.

FAIR Data Principles

Introduction to FAIR (Findable, Accessible, Interoperable, and Reusable) principles.

Implementation strategies for FAIR compliance.

Data Sharing and Access Control

Methods for sharing data with collaborators and the public.

Access control mechanisms and licensing for data use.

Ethics and Legal Considerations in Data Management

Ethical principles for research data.

Compliance with data protection laws (e.g., GDPR).

Open Data and Open Science Practices

Benefits and challenges of open data.

Platforms and tools for sharing open datasets.

Data Cleaning and Quality Assurance

• Methods for detecting and resolving data inconsistencies.
• Tools for ensuring data accuracy and reliability.

Tools and Platforms for Data Curation

• Overview of software and platforms (e.g., DMPTool, Dataverse, and OpenRefine).
• Selecting the right tools for different research contexts.

Data Preservation and Archiving

• Strategies for long-term data preservation.
• Formats and repositories for data archiving.

Research Data Security and Risk Management

• Identifying risks to data integrity and security.
• Implementing strategies to mitigate data-related risks.

Data Visualization and Communication

• Techniques for visualizing research data effectively.
• Communicating insights through data storytelling.

Assessment and Metrics in Data Curation

• Evaluating the impact and reusability of curated data.
• Metrics for assessing data quality and usage.

Case Studies and Practical Applications

• Real-world examples of data curation and management.
• Hands-on exercises for implementing best practices.

This modular structure ensures a comprehensive understanding of data curation and management, enabling participants to handle research data effectively and ethically.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 5 working days before commencement of the training.