Data Management, Metadata and Data Sharing


Davood Khalili

Members (alphabetically):

Alireza Atashi, Noushin Fahimfar, Kamran Guity, Ali Kabir, Mojtaba Lotfalian, Masoud Solaymani-Dodaran, Esmaeel Vaziri


Research data form the basis of scientific knowledge. They can be more useful if they can be properly organized, managed and shared. Pooling multiple research data increases the total sample size and power to see well and detect novel findings. We are going to work on some issues under the following items:

      • Best Practices for creating data
        • Use Consistent Data Organization
        • Use Standardized Naming, Codes and Formats
        • Assign Descriptive File Names
        • Perform Basic Quality Assurance / Quality Control
        • Preserve Information – Use Scripted Languages
        • Define Contents of Data Files; Create Documentation
        • Use Consistent, Stable and Open File Formats
      • Managing data in the Data Life Cycle
        • Branching models
      • Benefits of Data Sharing
      • International approaches to Data Sharing
        • Berlin Principles, OECD, NSF, NIH, OA 2020, European Commission, NRC
      • Different challenges in Data Sharing
        • organizational structures
        • culture and behavior
        • Political and ethical issues
        • Technical issues
        • Funding
      • Different phases to develop the ICC metadata and data network
      • Pooling data and challenges in analysis
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