Introduction

Scientific Data Preservation is a strategic discipline that ensures the long-term accessibility, integrity, usability, authenticity, and security of valuable research data across scientific institutions, laboratories, universities, government agencies, and private organizations. As digital transformation, artificial intelligence, cloud computing, open science, big data analytics, and high-performance computing continue to reshape research environments, organizations require sustainable data preservation strategies that support regulatory compliance, knowledge management, innovation, and scientific reproducibility. Effective preservation practices reduce data loss, improve research transparency, enhance collaboration, and maximize the long-term value of scientific investments.

Scientific Data Preservation Training Course equips participants with modern methodologies, international standards, digital preservation frameworks, metadata management techniques, repository governance, cybersecurity principles, FAIR data principles, and emerging technologies supporting long-term scientific data stewardship. Participants will gain practical knowledge for preserving research datasets throughout their lifecycle while ensuring accessibility, interoperability, reliability, and compliance with global best practices that strengthen institutional research capacity and digital sustainability.

Programme Curriculum

Scientific Data Preservation Training Course

Introduction

Course Objectives

By the end of this course participants will be able to:

Understand scientific data preservation principles and frameworks.
Apply FAIR data principles for sustainable research management.
Design effective digital preservation strategies.
Develop metadata standards for improved discoverability.
Implement secure scientific data storage solutions.
Evaluate preservation risks using modern assessment techniques.
Manage research data throughout its lifecycle.
Apply international preservation standards and policies.
Strengthen data governance and regulatory compliance.
Utilize cloud technologies for long-term preservation.
Improve scientific reproducibility through quality data management.
Integrate AI-powered data preservation solutions.
Develop institutional preservation plans for research excellence.

Organizational Benefits

Protects valuable scientific assets.
Supports long-term research continuity.
Improves institutional reputation.
Enhances grant funding opportunities.
Strengthens cybersecurity preparedness.
Reduces preservation costs.
Improves regulatory readiness.
Promotes knowledge sharing.
Supports digital transformation initiatives.
Increases research productivity.

Target Audience

Research Scientists
Data Managers
Archivists
University Researchers
Laboratory Managers
Information Technology Professionals
Records Management Officers
Research Policy Makers

Course Duration: 5 days

Course Modules

Module 1: Foundations of Scientific Data Preservation

Scientific data preservation concepts
Research data lifecycle management
FAIR data principles
Digital preservation challenges
International preservation standards
Case Study: CERN Scientific Data Preservation

Module 2: Metadata and Documentation

Metadata standards
Persistent identifiers
Data documentation techniques
Controlled vocabularies
Metadata quality assurance
Case Study: NASA Earth Science Data Archive

Module 3: Digital Repositories and Storage

Repository architecture
Trusted digital repositories
Cloud preservation platforms
Storage technologies
Backup and redundancy planning
Case Study: Dryad Digital Repository

Module 4: Data Integrity and Security

Cybersecurity fundamentals
Data authentication
Integrity verification
Digital preservation risks
Disaster recovery planning
Case Study: European Bioinformatics Institute

Module 5: Data Governance and Compliance

Governance frameworks
Regulatory compliance
Intellectual property management
Data sharing policies
Ethical research practices
Case Study: UK Data Service

Module 6: Emerging Technologies

Artificial intelligence applications
Machine learning in preservation
Blockchain for authenticity
Automation technologies
Digital sustainability tools
Case Study: Harvard Dataverse

Module 7: Preservation Planning

Preservation policy development
Risk assessment
Cost management
Institutional planning
Performance measurement
Case Study: National Archives of Australia

Module 8: Practical Implementation

Preservation workflow design
Repository evaluation
Monitoring preserved datasets
Continuous improvement
Institutional implementation roadmap
Case Study: UNESCO Memory of the World Programme

Training Methodology

Interactive expert-led presentations
Facilitated group discussions
Practical hands-on exercises
Scientific data preservation workshops
Digital repository demonstrations
Metadata creation activities
International case study analysis
Risk assessment simulations
Team-based problem-solving exercises
Action planning and course evaluation

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 Archivematica

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