Post on 14-Jun-2015
description
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
Promotes opportunities to leverage efforts and minimize duplication of effort
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.
M&E is evolving
Limitations of experimental design
Growth of district based evaluation platforms
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
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
GIS and M&E
Programmatic successes depend on reaching the right places, the right people with the right intervention
Who is doing what, where in my country?
http://goo.gl/Zw4Qv
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
x x x
x x x
x x x
x x x
x x x
x x x
x x x
x x x
‣ 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
Example: Kenya OVC Program
MEASURE Evaluation worked with US Mission in Kenya to improve interoperability of OVC data from 3 stakeholders
Data Snapshot
Kenya OVC Data Model
Simple approach that makes it possible to integrate program data
Geography (district) is the key
Barriers to linking data
Kenya Data Model
Six elements that allow data to be linked together
Geography
Services provided
Funder
Implementing organization name
Timeframe
Number of beneficiaries
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.
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?
Thank You