Even well-managed, FAIR data can fall apart when identifiers hide in the shadows π
Hidden identifiers occur when datasets, versions, or entities arenβt clearly labelled or linked through persistent, machine-readable IDs. For instance, if two data files describe the same sample but use slightly different names, or if dataset updates arenβt assigned a new DOI, users canβt tell which version to trust or cite.
The result? Broken connections, duplicate records, and lost reproducibility.









