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Developing a Suite of Online Learning Modules on the Components of Next-Generation Sequencing Projects
1William H. Welch Medical Library, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Medical Reference Services Quarterly
|February 19, 2020
Summary
This project developed online learning modules for next-generation sequencing (NGS) projects. The modules cover experimental design, ethics, data storage, and sharing for researchers and clinicians.
Area of Science:
- Bioinformatics
- Genomics
- Data Science
Background:
- Next-generation sequencing (NGS) generates vast amounts of data.
- Effective management and utilization of NGS data require specialized knowledge.
- Researchers, clinicians, and informationists need accessible training resources.
Purpose of the Study:
- To develop online learning modules for next-generation sequencing (NGS) projects.
- To provide a comprehensive framework for NGS project aspects.
- To support researchers, clinicians, and librarians in navigating NGS data challenges.
Main Methods:
- Project funded by the Big Data to Knowledge (BD2K) initiative.
- Development of online learning modules.
- Content focuses on experimental design, ethical considerations, data storage, and data sharing.
Main Results:
- Online modules covering key aspects of NGS projects are now available.
- The modules offer a structured framework for understanding NGS workflows.
- Content addresses critical areas from design to data dissemination.
Conclusions:
- Accessible online learning modules can enhance expertise in next-generation sequencing.
- Standardized frameworks are crucial for managing complex genomic data.
- The developed modules aim to improve data handling and ethical practices in genomics research.