Video 6: Research Data Management Across Different Scientific Domains

Research Data Management policies and practices vary widely across scientific fields due to unique data types, ethical concerns, and technical challenges. This video shows you how to adapt FAIR principles to your specific domain to ensure your data is organized, transparent, and ethically sound. We use an Ornithology data example to demonstrate how to achieve Findability, Accessibility, Interoperability, and Reusability (FAIR) using domain-specific standards.

➡️ Video Chapters (For Navigation)
0:00 Introduction: RDM in Diverse Scientific Fields
0:25 How to Ensure Data is Organized and FAIR Compliant
0:34 Example: RDM Practices for Ornithology Data
1:14 Issues Caused by Unorganized Data Sets
1:37 Improvements: Ensuring FAIR Principles through Consistency
2:06 The Value of a README File for Reusability
2:18 Step-Wise Guide for Domain-Specific RDM
2:35 Implementing Metadata Standards like Darwin Core

➡️ Resources & Standards Mentioned
This video highlights domain-specific repositories and metadata standards for biodiversity research.

Domain-Specific Resources:
Global Biodiversity Information Facility (GBIF): https://www.gbif.org/
A major international organization that makes scientific data on biodiversity (like species occurrences and distribution) freely and universally available.

EBIRD (Ornithology-friendly Repository): https://ebird.org/home
Mentioned as an example of a domain-specific repository.

Darwin Core (DwC): https://dwc.tdwg.org/
The standard metadata vocabulary for sharing information about biological diversity, often used for data deposited in GBIF.

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