census processing baku training module. discuss: processing strategies processing operations ...
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Census Processing
Baku Training Module
Discuss:Processing StrategiesProcessing operationsQuality Assurance for processingTechnology Issues for processingQuestions
Overview
Strategic directions need to be established early in the census cycle.
Single most important decision is deciding upon the processing system to be used and the technologies that will be adopted.
These decision needs to be made early enough to enable sufficient time for testing and implementation.
Census Processing
Data Processing Cycle
Data Processing Cycle
Receipt and Registrationas enumeration area materials arrive, they are checked for completeness and "marked in"
close coordination with Field processes
Preliminary Checkingforms are groomed for later processes, e.g. transcribed if not suitable for later processes
Coding and Data Captureinformation is captured off the forms and converted into the classification
Data Processing Cycle
Balancingcomputer records are checked against the forms to ensure a record has been created for each person and dwelling enumerated
Validationchecks the data to ensure it meets minimum agreed standards
Quality Assurance and EditingEditing used to make responses consistent with the form/sequence rules/classifications
Imputation used to correct non-response
Controlling the workflow
monitoring and controlling work flows needs close attention
Each activity depends on the quality and quantity of the output from previous activities.
Critical that each activity is meeting production targets to ensure that the following activity has sufficient work.
Delays in one activity can lead to costly lost production in the following activities.
Changes in procedures to raise production will have to be carefully considered to ensure that the quality of the data is not adversely affected.
Management Information Systems
An essential tool for managers at a processing centre is a Management Information System
The general requirements of a MIS are as follows :
to allow access to information to all managersto ensure all information is timely and as detailed as possible
to forecast and report on outcomes for future activity within the processing centre
ensure information acquired in one Census, can be utilized for planning in future Censuses
What to collect :production ratesflow controlstaffingquality assuranceautomatic edits
What to report :production automatic editsquality assurancefeedback to individuals
Management Information Systems
Quality Assurance
Quality of Census data is defined as multi-dimensional, involving elements of :
data accuracybudgettimelinessrelevance
Quality Assurance
Quality Management FrameworkProcessing of census data is complex - each process relies on the quality of the preceding process.
To assist in obtaining the highest possible data quality a framework incorporating the following components can be established at a processing centre:quality management system;quality assurance points for each process;continuous quality improvement processes; validation of data.
Continuous Quality Improvement
Continuous Quality Improvement (CQI) is a core component of the Total Quality Management philosophy.
CQI aims to continue to improve the quality of the output of a project throughout the life of that project.
A continuous quality improvement approach can be implemented in the following ways :
using teams of processing staff to identify and resolve quality problems;
using quantitative measures of quality, based on discrepancies in the output of the process; and
giving priority to identifying and addressing the root causes of these discrepancies
Measuring quality
Identify root
cause
Identify most important quality
problem
Measure Quality
Implement corrective
action
Quality Assurance Circle (or Continuous Quality Improvement)
Validation
The purpose of validating census data is to identify system problems and ensure data quality for final output.
Final check to ensure that the data produced by the processing system meets the specifications of the editing program and output requirements.
Validating the data before it leaves the processing centre ensures that errors that are significant and considered important can be corrected in the final file
Validating as you process ensures the issues found can be fed into improving the process as you go.
The successful introduction of technology into the processing phase will have a large impact on the overall success of the census.
The nature of census processing (ie the capture and manipulation of large amounts of data) is ideally suited to computerised technology.
Use of technology like imaging and Intelligent Character Recognition (ICR) offers great potential and associated benefits for census processing.
BUT be aware of the lead times and technology infrastructure required for successful implementation of ICR.
Technology Issues
Data- capture methodskey entryoptical mark recognitiondigital imaging/intelligent character recognitionelectronic lodgment of forms (eg; Internet)
Codingclerical/computer assistedautomatic coding
Technology Options
Technology Issues
Data Management - issues to consider
networks and infrastructuredata storagedata backupsdata security
Questions?
Working Group Exercise
Working in groups, answer the following:
What issues can reduce the quality of the information processed?
What can be put in place to reduce the impact of these issues?
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