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M Q Hasan Lecturer/ Statistician UN Statistical Institute for Asia and the Pacific Chiba, Japan Email : hasan@unsiap.or.jp - PowerPoint PPT Presentation


Data Management (2) “Application of Information and Communication Technology to Production and Dissemination of Official statistics” 10 May – 11 July 2007. M Q Hasan Lecturer/ Statistician UN Statistical Institute for Asia and the Pacific Chiba, Japan Email : hasan@unsiap.or.jp. Overview.

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M Q Hasan Lecturer/ Statistician UN Statistical Institute for Asia and the Pacific Chiba, Japan Email : hasan@unsiap.or.jp

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Data Management (2)“Application of Information and Communication Technology to Production and Dissemination of Official statistics”10 May – 11 July 2007

M Q Hasan

Lecturer/ Statistician

UN Statistical Institute for Asia and the Pacific

Chiba, Japan

Email : hasan@unsiap.or.jp


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Overview

  • Data management

  • Data management planning

  • Data management procedures

  • Data management software

  • Hands on experience


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Recap…..

  • Managing files during generation

  • Directory structure

  • Documentation

  • Managing files afterwards


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Data management and the NSO

  • Data management

    • All case – long term


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Data management

  • Management “files” afterwards.

    • Different types of files.

      • Data.

      • Report.

      • Computer programs.

      • Databases.

      • Etc.


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Data management

  • Management “files” afterwards.

    • Different types of files created with different software packages.

      • Statistical packages (SPSS, STATA).

      • Spreadsheet (excel).

      • Compiler (C++, java ).

      • Document (MsWord).

      • Etc.


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Data management

  • Management “files” afterwards.

    • Different types of files created with different application software.

      • Database (oracle).

      • DevInfo

      • Others


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Data management

  • Management “files” afterwards.

    • Different files created are in different media.

      • Hard disk.

      • CD.

      • Floppy.

      • Juke-box.

      • Tape.

      • Flash memory.

      • others


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Data management

  • Management “files” afterwards.

    • Different files created are at different location.

      • Different people.

      • Different section.

      • Different building but same site.

      • Different sites


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Data management

  • Management “files” afterwards.

    • Different types of files created in different computing environment.

      • Unix operating system of different flavors (sun, HP etc).

      • PC with different operating systems (windows, NT, XP etc.).

      • Macintosh.

      • Etc.


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Data management

System analysis


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Data management : SA

  • Locate as many “data” as possible and prepare inventory list.

    • Location.

    • Creation date.

    • Person responsible.

    • Type of contents.

    • Access conditions.

    • Size.

    • Media.

    • Type and format.

    • Etc.


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Data management : SA

  • Develop naming conventions

  • Dataset

  • Files


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Data management : SA

  • Check data randomly

    • Read

    • Complete

    • Error free


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Data management : SA

  • Completeness check

    • Identify missing files

    • Create missing files

    • Correct files that have errors


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Data management : SA

  • Classification

    • Trial and Error method

    • Consult all


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Data management : SA

Develop Data files Organization Structure

Clarify Fall Back Situations


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Data management :

System Migration (Integration)


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Data management : SM

  • Prepare H/W

  • Identify and procure application software

  • Develop automation routines for file transfer


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Data management : SM

  • Cautious about “moving target.”

  • Execute transfer when system is less likely to be accessed.

  • Cross check to make sure files are moved properly.

    • Date.

    • Size in bytes.

    • Owner.

    • Access rights


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Data management :

  • Maintain System

  • User services


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Data management :

  • Backupduring system migration

    • Data processors responsibility

    • Temporary back up


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Data management :

  • Backup after system migration

    • System administrator’s responsibility

    • At least 3 copies

    • One offsite copy


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Knowledge management


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Knowledge management (1)

  • Is a very generic term.

  • Often implies management of information in electronic format.

  • In a broader term, it is the organization of scattered information in such a way that people looking for specific information be able to find it and access it easily.


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Knowledge management (1)

  • This scattered information may be located in an organization in the same building at a single point or different sites across national and international boundaries at various points.

  • Each piece of information may also vary in format, size, content, and etc.

  • Information can be accessed as a single piece or as a combination of many pieces.


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Knowledge management (2)

  • Ideally, KM is a processing model that includes the collection and management of quality information.

  • Quality checking is part of KM.

  • Information harmonisation.

    • For better performance and usability of the KM system.


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Knowledge management (3)

  • KM deals with the physical organisation of the information.

  • Puts an invisible interface between the information (knowledge) and its users.

    • KM requires a dissemination policy as to “who can access which information and how” of the managed knowledge.


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Knowledge management …..

  • Integration of KM system into working places and beyond.

  • Culture, change of attitude towards the use of such systems.

  • Promotion of knowledge contribution.

  • Continuous maintenance of KM systems.


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Information System (IS)

  • Processing System (PS , TPS)

  • Management Information system (MIS)

    • Decision Support System (DSS)

  • Executive Information System (EIS)

  • Expert System (ES)


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IS & Management

  • Processing System

    • Lowest building block of an Information System

    • Records and process data

    • Executed by lower management level

    • Involvement of single section/department


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IS & Management

  • Management Information system

    • Executed by middle management level

    • Uses data recorded by processing level

    • Supports decision making activities through production of statistics, analytical reports etc.

    • Involvement of multiple sections/departments


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IS & Management

  • Decision Support System

    • Executed by middle / top management level

    • To backup strategic decisions


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IS & Management

  • Executive Information System

    • Executed by top management level

    • Deals with what if situations


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IS & Management

  • Expert System

    • Analyzes what if situations automatically

    • Process of analyzing data to identify patterns or relationship

    • Extraction of pattern or information from stored information


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End


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