Data Masking Components: Date Of Birth

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"DateDate Of Birth"Birth

API Reference, CLR Reference (links)

Usage Instructions:

Purpose

The purpose of the component is to mask such values asof Accountdate and datetime data types, especially date of birth. The component makes necessary allowance for the k-anonymity requirement in terms of sparsity of centenarians or Patientpeople Numbersclose thatto oftencentenarians consistin ofage thein combinationgeneral ofpopulation. AlphaTch andallowance Numeric characters and are not formed byis a specificrequirement rule.in HIPAA 18 elements

Algorithm

VariationDate of Random Character Permutation AlgorithmVariance

Description

The Masking Date Ofof Birth component replacesprovides lettersgeneric withdate letters,handling. whileIt maintaining capitalization,expects a string in the date format (‘MM/DD/YYYY) and replacescan be used to mask any date.The component also allows selection of the interval of confidence in days that defines interval of variation for the date. The date itself is in the middle, interval values add both positive and negative numbers withof numbers.days It retainsto the non-alphanumericdate. characters,Example: suchif May, 1st 2000 is the date, defining an interval of confidence as dashes,two slashes,days dotswill produce April 29th, April 30th, May 1st, May 2nd, and comas, exactlyMay at3rd theas position at which the non-alphanumeric characters presented themselves at the source value. It currently only replaces characters from alphabets that use English characters. The component will replace strings based on letters only with letter strings and strings based on numeric characters, only with numeric characters. For example, "Abc" will become "Zyx" and "123" will become "987" after component execution. values.

API Reference, CLR Reference (links)

Usage Instructions:

1. Configure a source that contains the column with alphabetical and numeric characters. The data in the column may also include any other character that will be treated as a separator.
2. Drag and Drop Generic AlhaNumeric Dynamic masking component, connect the source and the generic alpha numeric component with the source's precedence constraint:
3. Now, the precedence constraint (the blue arrow) passes proper meta-data to the Generic AlphaNumeric component. If you click on constraint, you will see:
4. Now that the metadata for the GAN exists, and values are passed into the data masking component, please open the component editor:
5. In the second tab, there are input columns. Please check-mark only one column, the one that you will be masking with Generic Alpha Numeric algorithm:
6. This will create an extra column with the prefix “Masked_”.
7. Create a connection manager for the destination and configure source component for the destination. In the connection manager, in the tab “Mappings”, specify that you want newly created Field_Masked to be a field replacing the original value. For that, just click on the available input columns, choose the masked value, and map to the “Available Destination Columns”
8. Now, all the configurations are complete for the valid values. You can run the package with the Generic AlphaNumeric Dynamic Data Masking component, and see the results of data masking:

Error Handling

9. If, however, there are invalid values in the package's source, one would need to configure error handling. Invalid values are those that are not conforming to the rules of the entity. To handle invalid values, each data masking component has error handling precedence constraint. One needs to create error destination connection and connect red arrow (error handling constraint) with this destination. As the connection is made, one needs to configure the state of failure: “Fail”,”Ignore” or “Redirect”.
10. It is recommended that one re-directs the output into the error destination, so that later one be able to analyze and process data for quality purposes. The Generic Alpha Numeric components errors are the only ones not recommended for further processing as it is truly hard to break their format.
11. It is our suggestion that with Generic Alpha Numeric component one should not process erroneous data without further analysis at all.

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