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Research Data Management: Research Data Management

Research Data Management

Research Data Management covers:

  • Data management planning
  • Data acquisition
  • Data analysis
  • Data storage and backups
  • Publications and data sharing
  • Data preservation
  • Data reuse

Benefits of RDM

Some benefits of the RDM can be listed as follows:

  • Increase data citation with DOI and this can enable new research opportunities and stimulate new collaborations. 
  • Increase research efficiency with organized research datasets in the whole research lifecycle. The RDM service can be centralized at the institutional level to ease the manipulation of datasets by departments. 
  • Improve scholarly communication and visibility of data.
  • Enable verification, re-purposing and reuse of data and methodologies.
  • Improve research integrity by accurate, complete, and reliable data to reproduce your research findings.

FAIR Data Principle

It is suggested data are managed under the FAIR data principle: Findable, Accessible, Interoperable, and Reusable.  FAIR

To Be Finable: 

    F1. (meta)data are assigned a globally unique and eternally persistent identifier. 

    F2. data are described with rich metadata. 

    F3. (meta)data are registered or indexed in a searchable resource. 

    F4. metadata specify the data identifier. 

To be Accessible: 

    A1. (meta)data are retrievable by their identifier using a standardized  communications protocol. 

        A1.1 the protocol is open, free, and universally implementable. 
        A1.2 the protocol allows for an authentication and authorization procedure,  where necessary. 

    A2. metadata are accessible, even when the data are no longer available. 

To Be Interoperable: 

    I1. (meta)data use a formal, accessible, shared, and broadly applicable language for  knowledge representation. 

    I2. (meta)data use vocabularies that follow FAIR principles. 

    I3. (meta)data include qualified references to other (meta)data. 

To Be Re-useable: 

    R1. (meta)data have a plurality of accurate and relevant attributes. 

        R1.1 (meta)data are released with a clear and accessible data usage license. 

        R1.2 (meta)data are associated with their provenance. 

        R1.3 (meta)data meet domain-relevant community standards.