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Multi-Channel Data Capture

Session 8– Data Capture: Internet/PDA, Manual Data Entry UNSD Regional Workshop on Census Data Processing for the English speaking African Countries: Contemporary technologies for data capture, methodology and practice of data editing Dar es Salaam, Tanzania, 9-13 June 2008.

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Multi-Channel Data Capture

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  1. Session 8– Data Capture: Internet/PDA, Manual Data Entry UNSD Regional Workshop on Census Data Processing for the English speaking African Countries: Contemporary technologies for data capture, methodology and practice of data editing Dar es Salaam, Tanzania, 9-13 June 2008 Multi-Channel Data Capture Fred Highland Census Practice Architect Lockheed Martin Transportation & Security Solutions

  2. Elements of Multi-Channel Data Collection • Paper • Traditional survey vehicle • The ultimate contingency plan • Internet • Lower cost • Easier to use • More accurate • Telephone • Primarily help and assistance • Fulfilment (additional questionnaires, language guides) • Response for people with special needs • Resolution of incomplete forms • (Field) personal enumeration • Most expensive part of a Census • Mostly manual • Could benefit from automation • Current trend toward Mobile Phones and PDAs

  3. Independent Channels • Approach • Independently developed capture channels • Advantages • Allows optimization of each channel • Adapts to legacy capture systems • Disadvantages • No integration • Modal bias! • Significant integration effort

  4. Internet-Centric Products • Approach • Web-based Solution at center of architecture • Internet • Core of architecture • Telephone • Agents use Intranet applications • Paper • Form design adapted from internet design with additional attributes • Field • Based on Internet design • Advantages • Integrated Approach – avoids modal issues • Well suited for Internet and Telephone capture • Issues • May be suboptimal for paper • Field (PDA) and Internet not always compatible • Infrastructure Costs (hardware and software) • Scalability?

  5. Canada 2006 Capture, Edits and Coding System External Inputs External Outputs Ottawa/Gatineau Internet Responses (Public) Internet Response Channel (IRC) Confirmation/PIN Number (respondent) Management Information STC HQ Internet Response Data Software Libraries (Lockheed Martin Team) Data Processing Centre (DPC) Census of Population Data STC Response Database Data Queries (STC) Internet Access/ Proxy IDs Census of Agriculture Data Query Results (STC) Paper Responses (Public via Canada Post and Field via STC Shipments) Census of Population and VR Images (STC) Master Control System Updates (STC) Census of Agriculture Images (STC) Coding and Edit Definitions (STC) Paper Forms, Attachments and VRs (STC) Software Libraries (Lockheed Martin Team) Master Control System Updates (STC) Telephone Response Data Management Information (STC) FEFU Requests Internet Access/ Proxy IDs FEFU Resolution Data Telephone Responses (Public) Census Help Line (CHL) / Failed Edit Follow-Up (FEFU) Action Cards (STC) Telephone Follow-Up Responses (Public) Telephone Help Responses (Public) Telephone Help Requests (Public) Telephone Follow-up Requests (Public) Management Information (STC) Software Libraries and Search Tools (Lockheed Martin Team) Moncton, Toronto, Edmonton SC_022d

  6. DRIS Portal US 2010 Decennial Response Integration System (as proposed) Integration Response Channel Capture Enterprise Data Management • Paper • Receipt • Capture • Validation • Operations Paper • Standardize • Store • Edit • Deliver • Archive Internet • Management Information • Systems • Security • Quality • Schedule • Production • Internet • Completion • Assistance Production Data Management Telephone • Store Metrics • Report Status • Predict Progress • Telephone • Completion • Assistance • Follow-up Response Data FDCA/ Field Census Agency System Management FDCA/Field Non-Response Follow-Up Non-Response Follow-Up

  7. Issues with Multi-Channel Data Collection • Modal Bias • Question interpretation and response must be the same across modes – modal difference • Security • Internet – Hacking, Denial of Service, etc. • Paper – Anthrax, Risen, other NBC threats • Authentication • Does the respondent represent the household? • Duplicate Resolution • More channels, especially electronic, mean more duplicate responses • Receipt Control • Knowing the state of responses from creation to data delivery • Management Information • Having the information to manage the Census enterprise

  8. Conclusion • Census isn’t as simple as it seems • Capturing all the data, accurately and delivering on time is hard • Multi-Channel Census Data Collection must address many issues • Completeness • Scalability • Data quality and consistency • Security and authentication • Channel data integration • Management information • It takes planning, the right solution and census experience to be successful!

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