UNSD-UNESCAP Regional Workshop on Census Data Processing: Contemporary technologies for data capture, methodology and practice of data editing, documentation.

Slides:



Advertisements
Similar presentations
Multiple Indicator Cluster Surveys Data Entry and Processing.
Advertisements

MICS4 Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Data Entry and Processing.
Harvard Center for Population and Development Studies1 Census Editing and the Art of Motorcycle Maintenance Michael J. Levin Center for Population and.
EDRN’s Validation Study Information Management System Developed for EDRN by the DMCC Cancer Biomarkers Group Division of Cancer Prevention Jet Propulsion.
1 QUANTITATIVE DESIGN AND ANALYSIS MARK 2048 Instructor: Armand Gervais
Documenting Information Systems. Learning Objectives To read and evaluate data flow diagrams To read and evaluate systems flowcharts. To prepare data.
Commercial Data Processing Lesson 3: Data Validation.
PowerPoint Presentation by Charlie Cook Copyright © 2004 South-Western. All rights reserved. Chapter 9 Controlling Information Systems: Process Controls.
9 C H A P T E R Transaction Processing and Enterprise Resource Planning Systems.
Brief Overview of Data Processing of Afghanistan Household Listing, Pilot Census Results, Population and Housing Census and NRVA Survey Brief Overview.
MICS Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Overview of MICS Tools, Templates, Resources, Technical Assistance.
UNSD Regional Workshop on Census Data Processing for the English speaking African Countries: Contemporary technologies for data capture, methodology and.
TRANSACTION PROCESSING SYSTEM (TPS)
CHAPTER 6 ELECTRONIC DATA PROCESSING SYSTEMS
Topics Covered: Data preparation Data preparation Data capturing Data capturing Data verification and validation Data verification and validation Data.
UNSD-ESCWA Regional Workshop on Census Data Processing in the ESCWA region: Contemporary technologies for data capture, methodology and practice of data.
Sterling Chadee Director of Statistics. The processing of the data from the field enumeration began in July 2011 until September All data processors.
Transaction Processing System  Business Transactions are certain events that occur routinely in a business firm.  A transaction is a set of activities.
Regional Workshop on the 2010 World Programme on Population and Housing Censuses: International standards, contemporary technologies for census mapping.
UNSD-UNESCAP Regional Workshop on Census Data Processing: Contemporary technologies for data capture, methodology and practice of data editing, documentation.
Workshop on International Standards, Contemporary Technologies and Regional Cooperation, Noumea, New Caledonia, 04–08 February 2008 Results Generated from.
MICS Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Overview of MICS Tools, Templates, Resources, Technical Assistance.
Data Capture Overview United Nations Statistics Division
2007 Population and Housing Census (Swaziland) Presented by: Muzi Dube.
I.Information Building & Retrieval Learning Objectives: the process of Information building the responsibilities and interaction of each data managing.
UNSD Census Workshop Day 2 - Session 7 Data Capture: Intelligent Character Recognition Andy Tye – International Manager DRS are Worldwide specialists in.
Uganda – October 2009 Census Data Collection & Processing John Gomersall.
Copyright 2010, The World Bank Group. All Rights Reserved. ICT - a core management issue Part 1 Managing ICT resources Produced in Collaboration between.
Bharat Sharma Nepal POPULATION & HOUSING CENSUS OF NEPAL: AN EXPERIENCE OF OUTSOURCING REGIONAL WORKSHOP ON CENSUS DATA PROCESSING September, 2008.
CS 350, slide set 5 M. Overstreet Old Dominion University Spring 2005.
 2001 Prentice Hall Business Publishing, Accounting Information Systems, 8/E, Bodnar/Hopwood Chapter 10 Electronic Data Processing Systems.
Programming Logic and Design Fourth Edition, Comprehensive Chapter 6 Looping.
Test and Review chapter State the differences between archive and back-up data. Answer: Archive data is a copy of data which is no longer in regular.
UN Regional Workshop on Data Processing, Bangkok, Sep Philippines 2007 Census of Population Data Processing Philippines 2007 Census of Population.
Mazlan Sulong Department of Statistics MALAYSIA Census Data Capture MALAYSIA Population Census 2000 vs Population Census 2010 (proposed solution)
Chapter 9 Controlling Information Systems: Application Controls.
Status of Data Capture Technology in Population and Housing Censuses in the ESCAP region Statistics Division ESCAP.
DATA ERRORS. Introduction The processing of incorrect data can produce ridiculous and embarrassing output. Errors can take time to sort out and can be.
Quality Assurance Programme of the Canadian Census of Population Expert Group Meeting on Population and Housing Censuses Geneva July 7-9, 2010.
Statistical Expertise for Sound Decision Making Quality Assurance for Census Data Processing Jean-Michel Durr 28/1/20111Fourth meeting of the TCG - Lubjana.
Verification & Validation F451 AS Computing. Why check data? It’s useless if inaccurate. Also, wrong data: Can be annoying Can cost a fortune Can be dangerous.
Data processing of 2000 population and housing census of Mongolia Munkhbadar Jugder, Senior officer of Population and housing census bureau, NSC of Mongolia.
Paolo Valente - UNECE Statistical Division Slide 1 Technology for census data coding, editing and imputation Paolo Valente (UNECE) UNECE Workshop on Census.
Verification & Validation. Batch processing In a batch processing system, documents such as sales orders are collected into batches of typically 50 documents.
Copyright 2010, The World Bank Group. All Rights Reserved. Managing Data Processing Section B.
Data Processing of the 2010 Population and Housing Census September 2008, Bangkok, Thailand National Statistical Office, Thailand.
UNSD-UNESCAP Regional Workshop on Census Data Processing: Contemporary technologies for data capture, methodology and practice of data editing, documentation.
UNSD-UNESCAP Regional Workshop on Census Data Processing: Contemporary technologies for data capture, methodology and practice of data editing, documentation.
1 3 Computing System Fundamentals 3.6 Errors Prevention and Recovery.
Data Collection. Data Capture This is the first stage involved in getting data into a computer Various input devices are used when getting data to the.
Data Verification and Validation
1 1.Enter User Name 2.Enter Password 3.Select Language. Default is English 4.Click Login
Key From Image Technical Experiences and Insights Philippine NSO Implementation.
UNSD-UNESCAP Regional Workshop on Census Data Processing: Contemporary technologies for data capture, methodology and practice of data editing, documentation.
Copyright 2010, The World Bank Group. All Rights Reserved. Agricultural Coding and Data Processing Section A 1.
Verification & Validation
UNSD-ESCWA Regional Workshop on Census Data Processing in the ESCWA region: Contemporary technologies for data capture, methodology and practice of data.
ESSnet project "Automated data collection and reporting in accommodation statistics" Objectives, achievements and results Köln,
Workshop on Census Cartography and Management, Bangkok, Thailand, 15–19 October 2007 How to Structure, Design and Evaluate Capacity for the use of GIS.
Reference Documents4.6fi_12.1 Chapter 12 Reference Documents During the normal course of business, repetitive periodic accounting transactions must be.
1 Handbook on Population and Housing Census Editing Department of Economic and Social Development United Nations Statistics Division Studies in Methods,
 At the end of the class students should:  distinguish between data and information.  explain the characteristics and forms of Information Processing.
Census Mobile Data Capture Using CSPro in Lesotho
Bangkok, Thailand, September 2008
ESSnet project "Automated data collection and reporting in accommodation statistics"   Objectives, achievements and results
Data Capture Process Stages
Optical Data Capture: Optical Mark Recognition (OMR)
Albania 2021 Population and Housing Census - Plans
Manual Data Capture – Key Entry
Lao in Census Quality Assurance
Presentation transcript:

UNSD-UNESCAP Regional Workshop on Census Data Processing: Contemporary technologies for data capture, methodology and practice of data editing, documentation and archiving Bangkok, Thailand, September 2008 Manual Data Capture – Key Entry

UNSD-UNESCAP Regional Workshop on Census Data Processing: Contemporary technologies for data capture, methodology and practice of data editing, documentation and archiving Bangkok, Thailand, September 2008 Forms To Data File Data Capture Key Entry data capture

UNSD-UNESCAP Regional Workshop on Census Data Processing: Contemporary technologies for data capture, methodology and practice of data editing, documentation and archiving Bangkok, Thailand, September 2008 Key Entry – Main characteristics  Computer-assisted keyboard data entry usually uses personal computer data entry programs with built-in logical controls.  Some of the tasks accomplished by the programs are: Verifying that EA codes are valid and copying them automatically from one record to the next; Assigning a number to each person in a household automatically and to each household within an EA; Switching record types automatically if required; Checking that variable values are always within pre-determined ranges; Skipping fields if the logic indicates doing so; Supporting keyboard verification of the information entered earlier; Generating summary statistics for the operator and the batch.

UNSD-UNESCAP Regional Workshop on Census Data Processing: Contemporary technologies for data capture, methodology and practice of data editing, documentation and archiving Bangkok, Thailand, September 2008 Key Entry – Main characteristics  Coding complex classifications (occupation, industry, education) can be included in a computer-assisted keyboard data entry application,  Or a clerical process prior to keying to assign the classification class to be key entered.  In order not to delay the data capture task, data entry applications should limit checking to problems that are: Either very serious (for example, wrong EA code), Or likely to be caused by a simple misread or key entry mistake. More sophisticated checking is deferred until the editing stage.

UNSD-UNESCAP Regional Workshop on Census Data Processing: Contemporary technologies for data capture, methodology and practice of data editing, documentation and archiving Bangkok, Thailand, September 2008 Key Entry – Main characteristics  This method requires relatively simple software systems (if complex coding not included)  Requires many more staff than automated data capture method  More elapsed time to complete.

UNSD-UNESCAP Regional Workshop on Census Data Processing: Contemporary technologies for data capture, methodology and practice of data editing, documentation and archiving Bangkok, Thailand, September 2008 Key Entry – Elements for decision  Decision to use manual entry versus automated entry may take into account: Timetable requirements Relativities between staff and hardware costs. Possibility to implement more sophisticated technology  Where staff costs are low and computing infrastructure is moderate, keyed entry may be the optimal method.

UNSD-UNESCAP Regional Workshop on Census Data Processing: Contemporary technologies for data capture, methodology and practice of data editing, documentation and archiving Bangkok, Thailand, September 2008 Key Entry – Software  Basic key entry programmes: Used in-house or outsourced  Software packages: CsPro...  User specific applications: Developed in-house or outsourced

UNSD-UNESCAP Regional Workshop on Census Data Processing: Contemporary technologies for data capture, methodology and practice of data editing, documentation and archiving Bangkok, Thailand, September 2008 Thank You