Open Science for Arts, Design and Music/Guidelines/Storing, publishing large volumes of data/Criteria
Criteria to select a data storage[edit]
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