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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 : [email protected] Overview.

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slide1
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 : [email protected]

overview
Overview
  • Data management
  • Data management planning
  • Data management procedures
  • Data management software
  • Hands on experience
recap
Recap…..
  • Managing files during generation
  • Directory structure
  • Documentation
  • Managing files afterwards
data management and the nso
Data management and the NSO
  • Data management
    • All case – long term
data management
Data management
  • Management “files” afterwards.
    • Different types of files.
      • Data.
      • Report.
      • Computer programs.
      • Databases.
      • Etc.
data management6
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.
data management7
Data management
  • Management “files” afterwards.
    • Different types of files created with different application software.
      • Database (oracle).
      • DevInfo
      • Others
data management8
Data management
  • Management “files” afterwards.
    • Different files created are in different media.
      • Hard disk.
      • CD.
      • Floppy.
      • Juke-box.
      • Tape.
      • Flash memory.
      • others
data management9
Data management
  • Management “files” afterwards.
    • Different files created are at different location.
      • Different people.
      • Different section.
      • Different building but same site.
      • Different sites
data management10
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.
data management11
Data management

System analysis

data management sa
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.
data management sa13
Data management : SA
  • Develop naming conventions
  • Dataset
  • Files
data management sa14
Data management : SA
  • Check data randomly
    • Read
    • Complete
    • Error free
data management sa15
Data management : SA
  • Completeness check
    • Identify missing files
    • Create missing files
    • Correct files that have errors
data management sa16
Data management : SA
  • Classification
    • Trial and Error method
    • Consult all
data management sa17
Data management : SA

Develop Data files Organization Structure

Clarify Fall Back Situations

data management18
Data management :

System Migration (Integration)

data management sm
Data management : SM
  • Prepare H/W
  • Identify and procure application software
  • Develop automation routines for file transfer
data management sm20
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
data management21
Data management :
  • Maintain System
  • User services
slide22
Data management :
  • Backupduring system migration
    • Data processors responsibility
    • Temporary back up
slide23
Data management :
  • Backup after system migration
    • System administrator’s responsibility
    • At least 3 copies
    • One offsite copy
knowledge management 1
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.
knowledge management 126
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.
knowledge management 2
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.
knowledge management 3
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.
knowledge management
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.
information system is
Information System (IS)
  • Processing System (PS , TPS)
  • Management Information system (MIS)
    • Decision Support System (DSS)
  • Executive Information System (EIS)
  • Expert System (ES)
is management
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
is management32
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
is management33
IS & Management
  • Decision Support System
    • Executed by middle / top management level
    • To backup strategic decisions
is management34
IS & Management
  • Executive Information System
    • Executed by top management level
    • Deals with what if situations
is management35
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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