Reusable Data Best Practices

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Contents:

• Chapter 1: Research Data Licensing
  • Intended audience
  • Why is this important?
  • Takeaways
  • Acknowledgments
• Chapter 2: Identifier best practices
  • Intended audience
  • Why is this important?
  • Status and contribution mechanisms
  • Takeaways
  • Acknowledgments
• Chapter 3: Sharing Educational Resources
  • Intended audience
  • Current version / status
  • Guidance
  • Lessons learned / summary
  • Why this is important
  • Status and feedback mechanisms
  • Takeaway List
  • Deep dive into takeaways
  • Acknowledgments
• Chapter 4: Managing Translational Informatics Projects
  • Intended audience
  • Why is this important
  • Takeaways
  • Acknowledgments
• Chapter 5: Software and Cloud Architecture
  • Cloud Collaboration software
  • Cloud architecture
  • Software best practices
• Chapter 6: Understanding Data Harmonization
  • Purpose & intended audience
  • Why is this important?
  • Status and how to contribute:
  • Takeaways
  • Acknowledgments
  • Funding:
• Chapter 7: Repository architecture and culture to support research at the local CTSA hub level
  • Intended Audience
  • Why is this important?
  • Takeaway List
  • Status and Feedback Mechanisms
  • Current Version
  • Contributors to this guidebook chapter
  • Acknowledgments
  • Funding:
• Chapter 8: Best practices for attribution and use of attribution
  • Intended Audience
  • Current Version
  • Why is this important?
  • Status
  • Feedback
  • Takeaway List
  • Deep Dives
  • Contributors to this guidebook chapter
  • Acknowledgments
  • Relevant Resources
  • Funding:

Indices and tables

• Index
• Module Index
• Search Page