Introduction

Research Data Curation is a strategic discipline that ensures research data is properly collected, organized, documented, preserved, shared, and reused throughout its lifecycle. As research institutions, universities, government agencies, healthcare organizations, and private enterprises increasingly adopt digital transformation, effective data stewardship has become essential for improving research quality, transparency, reproducibility, compliance, and innovation. Research Data Curation Training Course equips participants with practical knowledge of research data management, FAIR Data Principles, metadata standards, digital preservation, data governance, research integrity, cloud repositories, artificial intelligence applications, and international best practices for sustainable research data curation.

Participants will gain practical skills in designing data management plans, implementing metadata frameworks, ensuring regulatory compliance, protecting sensitive research information, improving data discoverability, and supporting open science initiatives. Through practical exercises and global case studies, the course demonstrates how modern data curation enhances research collaboration, institutional reputation, funding opportunities, policy compliance, and long-term accessibility of valuable research assets.

Programme Curriculum

Research Data Curation Training Course

Introduction

Course Objectives

After completing this course, participants will be able to:

Understand modern Research Data Curation principles.
Develop effective Data Management Plans (DMPs).
Apply FAIR Data Principles for research excellence.
Implement international metadata standards.
Improve research data quality and integrity.
Establish digital preservation strategies.
Strengthen research data governance frameworks.
Enhance data security and privacy compliance.
Support Open Science and research collaboration.
Utilize cloud-based research repositories.
Integrate AI-powered data curation technologies.
Monitor research data lifecycle management.
Improve institutional research visibility and impact.

Organizational Benefits

Improved research quality and reproducibility.
Enhanced regulatory compliance.
Increased research funding competitiveness.
Better institutional knowledge preservation.
Stronger research collaboration.
Improved data security and confidentiality.
Greater research transparency.
Reduced data loss risks.
Higher research productivity.
Increased global research visibility.

Target Audiences

Research Scientists
University Researchers
Research Administrators
Data Managers
Librarians and Archivists
Laboratory Managers
Government Research Officers
NGO Research Professionals

Course Duration: 5 days

Course Modules

Module 1: Foundations of Research Data Curation

Research data lifecycle management
FAIR Data Principles
Research data policies
Open Science concepts
Roles of data stewards
Case Study: European Open Science Cloud implementation

Module 2: Research Data Planning and Collection

Data Management Plans
Research data documentation
Data collection standards
Data organization techniques
Quality assurance methods
Case Study: NIH Data Management Policy

Module 3: Metadata and Documentation

Metadata fundamentals
International metadata standards
Data cataloguing
Persistent identifiers
Documentation best practices
Case Study: DataCite metadata framework

Module 4: Data Storage and Digital Preservation

Digital preservation principles
Repository selection
Cloud storage solutions
Backup strategies
Long-term accessibility
Case Study: UK Data Service preservation model

Module 5: Data Governance and Compliance

Research governance frameworks
Ethical data management
Privacy regulations
Intellectual property management
Risk management
Case Study: GDPR compliance in European research

Module 6: Data Sharing and Open Science

Open data publishing
Repository submission
Data licensing
Collaborative research platforms
Data citation practices
Case Study: Zenodo Open Research Repository

Module 7: Emerging Technologies in Data Curation

Artificial Intelligence applications
Machine learning for data quality
Automation tools
Research analytics
Digital innovation
Case Study: AI-assisted research repositories

Module 8: Institutional Data Curation Strategy

Institutional policy development
Capacity building
Performance monitoring
Sustainability planning
Continuous improvement
Case Study: Harvard University Research Data Management Program

Training Methodology

Interactive expert-led presentations
Practical demonstrations and workshops
Hands-on metadata development exercises
Group discussions and collaborative learning
Software demonstrations and repository practice
Global case study analysis
Individual and team assignments
Research data management simulations
Knowledge assessments and feedback
Action planning for workplace implementation

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

MS Word Dataverse DSpace and CKAN

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000