When a country is implementing and running the ID program, people at the forefront, like policymakers and other executives, will need to monitor the progress. Progress can be measured with the help of various attributes, like:
total enrollment count
gender profile for enrollment
age group profile
enrollment numbers and profiles per registration centre
quality of biometric data captured
Information like this will allow policymakers to take corrective measures as and when required.
Some examples are given below:
Example 1: If registration centres are setup for enrolling residents and if they see that the number of women enrolling in a particular area is less because of cultural factors, they can introduce a door-to-door enrollment process to increase coverage.
Example 2: The quality of biometrics captured for a particular registration centre or region can be monitored. And if it is found to be unacceptable, they can proceed to replace the biometric devices in that centre.
Example 3: They can compare the total number of enrollments against the total number of UINs issued. If there is a big gap, they can then address this by increasing the capacity of the registration processor module to handle and process more packets.
In order to achieve this, we have published a fixed anonymized profile of the users and ensured the same is accessible to a search engine such as elastic search so that it can be used for analytics. The basic guideline followed to create these profiles is that the limited dataset should not violate the privacy of the person or point to specific individuals. These JSON profiles are not configurable in the current design and a code change is required to change them.
This dataset is called an anonymous profile and is captured at various stages in the ID lifecycle like pre-registration, registration processing, ID issuance and authentication.
As a part of this implementation, a new anonymous_profile table is created in each of these modules and is populated as per the JSON structure given below for each profile.
Note: New DB tables are added for the anonymous profile because data in existing tables (except the pre-registration module) are encrypted and cannot be used to create reports and dashboards.
This profile will be used to capture data about enrollment. This suggests that the user has started the registration process.
This data is captured at two stages, i.e., during pre-registration and registration processing.
The same registration profile JSON is re-used to capture data in these two modules.
This profile data is captured in anonymous_profile
tables under the mosip_prereg
mosip_regprc
schemas.
We can configure the stage at which the anonymous profile data in the registration processor needs to be captured. This can be configured as a part of the registration processor camel routes in the mosip-config
repository as shown below.
The profile will be available from version 1.2.0 and above.
JSON structure of the registration profile is given below
Below is the image for the Anonymous profile table created in the Pre-registration schema
Below is the image for the Anonymous profile table created in the Registration processor schema
This profile data will be captured during the identity issuance process when an entry is made in the ID repository.
The profile data is captured in a anonymous_profile
table under the mosip_idrepo
schema.
The profile will be available from 1.1.5.5 and above.
JSON structure of the identity issuance profile is given below:
Below is the image for the Anonymous profile table created in the ID repository schema
This profile data will be captured when the resident performs authentication.
The profile data is captured in an anonymous_profile
table under the mosip_IDA
schema.
The profile will be available from 1.2.0 and above.
JSON structure of the Authentication profile is given below:
Below is the image for the Anonymous profile table created in the IDA schema
Reports and dashboards can be created using anonymous profile data. The reporting framework used for the platform can be used to push this data into elastic search and dashboards can be configured using Kibana. A dashboard created using ID Issuance Anonymous profile data is available as a part of the reference implementation. The same is shown below.
More details about reporting module and dashboards can be found here.
Module | Table name | Profile name |
---|---|---|
Pre-registration
anonymous_profile
Anonymous Registration profile
Registration Processor
anonymous_profile
Anonymous Registration profile
ID Repository
anonymous_profile
Anonymous Identity Issuance profile
Authentication
anonymous_profile
Anonymous Authentication profile