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Geographic tools and M&E: Linking data to support M&E

Geographic tools and M&E: Linking data to support M&E. Data Linking. Many Data Streams. But it can be well worth the effort to link data. Value of linking: Gives insight into data by adding additional context Maximizes use of data

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Geographic tools and M&E: Linking data to support M&E

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  1. Geographic tools and M&E:Linking data to support M&E

  2. Data Linking

  3. Many Data Streams

  4. But it can be well worth the effort to link data

  5. Value of linking: Gives insight into data by adding additional context Maximizes use of data Promotes opportunities to leverage efforts and minimize duplication of effort

  6. M&E and GIS • Programs don’t exist in vacuum • People may be touched by multiple programs or influenced by the world around them • Strengthen M&E by using that fact.

  7. M&E is evolving • Limitations of experimental design • Growth of district based evaluation platforms

  8. M&E and GIS • Geography as basis for evaluation • Multiple programs that can influence outcome • Link data to better understand program and outcomes • Spatial analysis techniques can help with deriving outcomes measures

  9. GIS is a tool that can facilitate evaluation • Linking data • Producing tools for analysis and understanding of data GIS can support evaluation even if no maps are produced

  10. GIS and M&E

  11. Programmatic successes depend on reaching the right places, the right people with the right intervention

  12. Who is doing what, where in my country? http://goo.gl/Zw4Qv

  13. M&E data inform policy Health outcomes Decision makers identify priorities and support programs Program serves clients Program is managed by an organization

  14. It can quickly become challenging to see opportunities for integration and coordination • There may not be common stakeholders participating in every step of the process

  15. Example: Kenya OVC Program MEASURE Evaluation worked with US Mission in Kenya to improve interoperability of OVC data from 3 stakeholders

  16. Data Snapshot

  17. Kenya OVC Data Model Simple approach that makes it possible to integrate program data Geography (district) is the key

  18. Barriers to linking data

  19. Kenya Data Model • Six elements that allow data to be linked together • Geography • Services provided • Funder • Implementing organization name • Timeframe • Number of beneficiaries

  20. By linking data from multiple stakeholders it was possible to see patterns that were not observed without linking • Important to note that there may be legitimate reasons why there were no services in Kuria – map doesn’t provide all the answers just points in a direction for further study.

  21. Key points • Evaluation is evolving • Using geography (and GIS) to link data can strengthen M&E • Many barriers to linking data • Technical barriers may be easy to overcome, non-technical barriers may be more challenging • Any questions?

  22. Thank You

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