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  1. FAIR Principles/

Findable

The first FAIR principle states that data and metadata should be easy to find for both humans and machines. This requires:

  • Assigning globally unique and persistent identifiers (e.g., DOIs) to data and metadata.
  • Describing data with rich metadata.
  • Registering or indexing data in searchable resources.
  • Including the identifier in the metadata so the connection is explicit.

In the context of STAMPED, findability is supported by practices such as structured directory layouts, consistent naming conventions, machine-readable metadata files, and the use of version control systems that provide stable references to specific states of a dataset.

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