Geographic Tools and M&E: Linking Data to Support M&E

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

description

September 2012 GIS ToT Webinar

Transcript of Geographic Tools and M&E: Linking Data to Support M&E

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

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Data Linking

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Many Data Streams

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But it can be well worth the effort to link data

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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

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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.

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M&E is evolving

Limitations of experimental design

Growth of district based evaluation platforms

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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

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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

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GIS and M&E

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

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Who is doing what, where in my country?

http://goo.gl/Zw4Qv

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x x x

x x x

Decision makers identify priorities and support programs

Program is managed by an organization

Program serves clients

Health outcomesM&E data inform policy

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x x x

x x x

x x x

x x x

x x x

x x x

x x x

x x x

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‣ 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

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Example: Kenya OVC Program

MEASURE Evaluation worked with US Mission in Kenya to improve interoperability of OVC data from 3 stakeholders

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Data Snapshot

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Kenya OVC Data Model

Simple approach that makes it possible to integrate program data

Geography (district) is the key

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Barriers to linking data

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Kenya Data Model

Six elements that allow data to be linked together

Geography

Services provided

Funder

Implementing organization name

Timeframe

Number of beneficiaries

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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.

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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?

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Thank You