RECORD LINKAGE Sample Clauses
The RECORD LINKAGE clause establishes the terms under which data from different sources can be matched or connected based on shared identifiers or attributes. In practice, this clause outlines the methods, criteria, and permissible uses for linking records, such as combining patient information from multiple healthcare databases or correlating customer data across business units. Its core function is to ensure that data integration is conducted in a controlled and compliant manner, thereby facilitating accurate analysis while protecting privacy and maintaining data integrity.
RECORD LINKAGE. The User shall not attempt to identify or contact any specific individual whose record is included in the files listed in section 5 above. The User agrees that, absent express written authorization from the CMS signatory designated in section 20 below, the User shall not attempt to link records included in the file(s) specified in section 5 above to any other individually identifiable source of information. This includes attempts to link the data to other CMS data. A protocol that includes the linkage of specific files that has been approved in accordance with section 4 above constitutes expressed authorization from CMS to link files as described in the protocol.
RECORD LINKAGE. Record linkage is a technique which compares records contained in two files A and B, in order to determine pairs of records pertaining the same population unit. Through record linkage it is possible to obtain a new file where information form A and B is available for population units represented in both files. The A and B files are supposed to contain identical units that have to be found according to an identifier (like the social security number) or a set of identifying variables (k variables) present in both files. Record linkage is also known as exact matching and computerized matching. Figure 2 Illustration of record linkage k variables file B variables Figure 1 illustrates the principle of record linkage. Darker rows in A and B identify the same population units present in the files. Through record linkage, record pairs relating to the same population units are singled out and recorded in a new file called matched file. In order to apply record linkage three requirements must necessarily be met (Scanu 2003, p. 17):
1. the files must have a non-empty set of units in common;
2. the files must have an identifier (for example the social security number for individuals) or a set of variables (key variables) in common which jointly allow to identify the units present in both files;
3. the multiple variable K = ( X 1 ,L , X k ) derived from the k variables identifies the units univocally, in that there must be one-to-one correspondence between k-values sequences and population units. Record linkage between two files is very simple provided that each record in both files contains the same identifier and this identifier is recorded without errors. In this case the problem is solved by simply picking out the records (if any) with the same identifier value. Two main complications may occur (▇▇▇▇▇ and Hilton 1990):
i) Errors may occur because incorrect information is obtained from the individual, or because information is incorrectly recorded. Due to such errors two records for the same person may not agree, and two records which agree may refer to different people.
ii) Some values of the k variables may be missing so that the K-variable may not be known exactly for some of the records in A or B. The k variables have to be chosen among statistically accurate permanent variables as the date of birth, the name or the gender. Non-permanent variables like education or the marital status may change over time so that different values could actually refer to the same p...
RECORD LINKAGE. Statistical Models for Matching Computer Records, Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 153, No. 3 (1990), pp. 287-320
RECORD LINKAGE. Combining information from a variety of Data sources for the same individual.