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Open Science for Arts, Design and Music/Guidelines/Storing, publishing large volumes of data/Criteria

< Open Science for Arts, Design and Music‎ | Guidelines‎ | Storing, publishing large volumes of data

Criteria to select a data storage

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The volume and granularity of your data define optimal storage methods and locations both during and after the analysis phase. To make an informed decision, it is worth to keep a few perimeters in mind, such as:

  • the size and nature of your data (mega- or gigabytes vs. tera-or petabytes)
  • Wether data is hot or cold (i.e. whether it belongs to an ongoing or concluded research activity)
  • Number of partners who need simultaneous access
  • Desired types of access to the data (through landing pages or APIs, or a SPARQL endpoint etc.)
  • Privacy concerns
  • Optimal transfer and retrieval time
  • The costs of storage
  • Length of storage
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