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Data Group

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Akira (Japan) Sharma (India) Tepa (SPREP) DATA GROUP. Data collection. Data access & reliability ... National statistical offices certify the data reliability ... – PowerPoint PPT presentation

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Title: Data Group


1
Data Group
  1. Natalya (UNEP),
  2. M. Tanzir Wilson (ASEAN Sec),
  3. Sri (Indonesia),
  4. Jinhua (UNEP),
  5. Virancy (Lao)
  6. Akira (Japan)
  7. Sharma (India)
  8. Tepa (SPREP)

2
DATA GROUP
  1. Data collection
  2. Data access reliability
  3. Data representability scale
  4. Data proxies
  5. Related monitoring
  6. Experience Sharing

3
I II. COLLECTION RELIABILITY
  • Rank the Sources
  • Official Sources UN, IGOs, Government
    (Statistics),
  • Specialized Sources University, Research
    Technology Institutions, Donor Agencies
  • Other Sources NGOs
  • Remote Sensing Systems GEIOS
  • Reliability
  • National statistical offices certify the data
    reliability
  • Expert groups examine and certify the data
    reliability

4
III IV. DATA AVAILABILITY, QUALITY,
REPRESENTABILITY SCALE
  • Dependent upon the data source
  • Representability like reliability depends on
    official sources and expert groups
  • National statistical offices certify the data
    reliability
  • Expert groups examine and certify the data
    reliability
  • Main segment and sector should be represented
  • Before use of data, data should be checked
  • Scale
  • Recommend scale is 110,000 or more detail to
    capture the complexity of city issues (drivers,
    pressures, state/trends, impacts)
  • Controlled by National Policies (e.g. national
    security policies)

5
V. DATA PROXIES
  • Do not use proxies
  • Exceptional cases use them with appropriate
    certification

6
VI. RELATED MONITORING PLAN
  • Different levels to consider for monitoring
    implementation of recommendations
  • Porfolio monitoring and evaluation
  • Impact monitoring and evaluation

7
V. Related experience sharing
  • Cross-national collaborations
  • Sharing informtion systems
  • Attachments
  • Etc.
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