Data Management and Policies in Cancer Research: Open Access & FAIR Data Principles

Presentation material in the .odp, .pdf and .pptx format for each individual sessions within the THRIVE Online Training Course:Data Management and Policies in Cancer Research: Open Access & FAIR Data Principles.Agenda: Keynote Speaker: Importance of data management in cancer researchSession 1: Principles of Research Data Management (RDM)• What is Research Data Management?• Why is data management essential for cancer research?• Overview of data lifecycle (collection, storage, sharing, reuse).• Key policies and regulations (e.g., GDPR, national/institutional policies).Session 2: Open Science, Open Access• What is Open Science?• Benefits & challenges of Open Access for cancer research.Session 3: Introduction to FAIR Data Principles • Institutional support & funding agency requirements (e.g., Horizon Europe).• Breakdown of Each Principle with Examples:• Findable: Unique identifiers (DOI, metadata indexing).• Accessible: Open vs. restricted access, data repositories.• Interoperable: Use of standard vocabularies, formats, ontologies.• Reusable: Clear licensing, rich metadata, provenance tracking.• Metadata standards & best practices.• Experts share real-world examples of FAIR data implementation.• Show a dataset example and ask participants to evaluate: Is this FAIR?• Repositories supporting FAIR data (Zenodo, Dryad, cBioPortal).• FAIR assessment tools (FAIR Metrics, FAIR-Aware).Session 4: Practical Approaches to Data Sharing & Compliance:• Data repositories for cancer research (e.g., European Genome-Phenome Archive, cBioPortal).• Licensing & consent: How to legally share patient data.• Idea for group discussion: Challenges participants face in sharing data.