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About
The Research Data Management & Integrity Course is designed to provide a comprehensive understanding of responsible research data practices across the entire data lifecycle. It focuses on planning, organizing, documenting, storing, protecting, and sharing research data in ways that support transparency, reproducibility, and long-term value.
This course covers key areas including data management planning, file organization, metadata and documentation, data storage and backup strategies, data security, retention requirements, and the FAIR principles. It also explores ethical and legal considerations in data handling, data sharing practices, repository selection, and approaches that enhance research integrity and data reuse. Upon completion, learners receive a certification demonstrating competency in research data management and FAIR data practices.
- Researchers and Research Staff
- PhD Scholars and Postgraduate Students
- Principal Investigators and Research Leads
- Data Managers and Research Support Professionals
- Academic Faculty and University Staff
- Clinical and Non-Clinical Research Professionals
- Professionals responsible for research data governance
- Anyone involved in creating, managing, or sharing research data
What you will learn
Understand the principles of research data management, data lifecycles, and the importance of planning for data collection, storage, documentation, preservation, and sharing.
Gain knowledge of data management plans, file organization, metadata standards, documentation practices, and version control to improve data quality and reproducibility.
Learn practical approaches to secure data storage, backup strategies, data protection, retention requirements, and responsible handling of sensitive research information.
Develop expertise in applying FAIR principles, selecting appropriate repositories, preparing data for sharing and reuse, and supporting transparency and research integrity.
Course Syllabus
- What counts as research data
- Good Data Management Protects Everything
- The Data Lifecycle
- Costs of Poor RDM
- Roles + Responsibilities
- Data, Records + Outputs
- Data Management Through a Project
- What a data management plan is
- DMP contents
- Documentation
- Metadata + standards
- File naming + Organisation
- Version Control
- Choosing File Formats
- Documentation Toolkit
- Active vs Archival Storage
- FAIR at a glance
- Make Data Findable
- Make Data Accessible
- Make Data Interoperable
- Make Data Reusable
- FAIR is not the same as open
- Persistent Identifiers
- Standards + Vocabularies
- Machine-Actionable Data
- A Simple FAIR Maturity View
- Storage + backup
- Data security basics
- Personal data + UK GDPR
- Anonymisation vs pseudonymisation
- Retention + disposal
- Cloud vs Institutional Storage
- Encryption + Transfer
- Access Control Practices
- Data Sharing Agreements
- Why share data
- Choosing a repository
- Licences for Data
- Data availability statements
- Reproducibility
- Protecting data integrity
- The RDM checklist
- Embargoes + When to Share
- What Makes a Repository Trustworthy
Course Benefits
Gain Continuing Professional Development (CPD) Points, accredited by The Faculty of Pharmaceutical Medicine of the Royal College of Physicians of the United Kingdom. These can be used to count towards the distance learning element of any scheme that comes under the umbrella of The Academy of Medical Royal Colleges or any other scheme for which there is mutual recognition.
Receive a personal certificate to show your subject knowledge on course completion.
You get excellent value through our cost-effective prices. We can also offer you group discounts on larger purchases.
The course saves you time through the convenience of online availability. This lets you complete the interactive course at your own comfort.
You will stay up to date with developments in research data management — including the FAIR principles, funder open-data policies and UK GDPR/Data Protection Act 2018 — as our courses are constantly monitored, reviewed and updated.
The course has been developed by research data management and integrity specialists so that researchers and data staff can manage data that is findable, protected, reproducible and trusted.







