identyfikowalnoci

Identyfikowalnosc, commonly rendered in Polish as identyfikowalność, refers to the property of being identifiable or capable of being singled out from a set of data or observations. The form identyfikowalnoci is not the standard spelling in Polish, where identyfikowalność and its inflected forms are typically used.

In statistics and mathematical modeling, identifiability describes whether model parameters can be uniquely determined from the probability distribution of the observed data. Structural identifiability asks if it is theoretically possible to recover unique parameter values given perfect data, while practical identifiability accounts for real-world limitations such as noise and limited samples.

In data protection and privacy, identifiability concerns the risk that individuals can be linked to data records. High identifiability means a greater chance of re-identification, while low identifiability supports safe data sharing. Techniques to manage identifiability include anonymization, pseudonymization, data minimization, and privacy-preserving analyses. Regulations such as the General Data Protection Regulation (GDPR) emphasize controlling identifiability to protect personal data.

In biometric systems and de-identified datasets, identifiability relates to the ability to correctly recognize or verify a person from biometric features or from residual information in data. Balancing identifiability for legitimate use (such as authentication) with privacy protections is a central concern in system design and policy.

Overall, identyfikowalność is a multidisciplinary concept spanning statistics, data privacy, and information systems, focusing on when and how entities—whether parameters, individuals, or records—can be uniquely identified from available data.