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Biomedical Data Repository Concepts and Management Principles
Dawei Lin1, Matthew McAuliffe2, Kim D Pruitt3
1National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health, Bethesda, Maryland, USA. dawei.lin@nih.gov.
Scientific Data
|June 13, 2024
Summary
Data repositories are crucial for open science and biomedical research, enabling data management, preservation, and sharing. This guide helps researchers select appropriate repositories for their data needs.
Area of Science:
- Biomedical Research
- Open Science
Background:
- Increasing demand for open data and open science.
- New policies from NIH and OSTP emphasize data sharing.
- Need for transparency and reproducibility in research.
Purpose of the Study:
- Explore the role of data repositories in biomedical research and open science.
- Familiarize readers with repository functions and evaluation methods.
- Provide knowledge for selecting appropriate data repositories.
Main Methods:
- Literature review on data repositories and open science principles.
- Analysis of current trends and policies in data management and sharing.
- Overview of methods for evaluating repository capabilities.
Main Results:
- Data repositories are essential for managing, preserving, and sharing research data.
- Understanding repository functions and evaluation criteria is key.
- Community-based guiding principles support effective data sharing.
Conclusions:
- Researchers, operators, funders, and policymakers need knowledge to select repositories.
- Proper repository selection fosters open sharing and preservation of research data.
- This paper provides foundational knowledge for navigating data repositories.
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