Why Missing Research Metrics Should Not Be Treated as Zero

An absent metric may reflect database gaps, an unresolved identity or a field that produces scholarship outside the indexed literature. Replacing such absence with zero silently changes the meaning from unavailable evidence to documented lack of activity.

A true zero should represent a measured quantity with an explicit data source and a valid observation window. If an index cannot calculate a metric, show it as unavailable and avoid inventing a value to make the table complete.

Missing inputs can distort weights, create misleading positions and exclude researchers from fair comparison. RSIS describes evidence-completeness checks and requirements for formal overall scoring rather than pretending every available profile is equally measurable.

Collect the missing source identifiers, verify publications and update metadata where possible. If evidence remains incomplete, communicate that limitation prominently and avoid issuing certificates based on manufactured certainty.