SlideShare a Scribd company logo
Designing towards an impact
evaluation framework for a
collaborative information supply chain
KENNY MEESTERS, BARTEL VAN DE WALLE
ISCRAM BADEN-BADEN, MAY 2013
Outline
Outline
Domain Processes
Evaluation
types
Systems
evaluation
Evaluation
perspectives
Scope Measurement
Concept Supply Usage
Findings
Objectives
Indicators
Conclusion
Results
V&TC
Design
Approach
Research
Future work
V&TC
Data collection
•Media
•Geo-location
•SMS
Data
processing
•Analysis
•Verification
Dissemenation
•Information
products
•Maps, reports, etc
Information
consumers
•Decision making
•Monitoring
Outline
Volunteer Training
Open*
SBTF
Transition
Impact Evaluation Decision Makers
Data Scramble
Data licensing
Preparedness
UN OCHA
IM
ISCRAM
IMMAP, Google,
Mapaction
Woodrow, UN,
Harvard, OSM
Mapaction,
GISCorp,
Munster
ISCRAM,
ICT4Peace,
Mapaction
SBTF, UNV
ISCRAM,
Harvard,
UvT
TBC
UNV,
Munster
“The challenge is to improve coordination between the structured humanitarian
system and the relatively loosely organized volunteer and technical
communities. ” -Valerie Amos, UN Under-Secretary-General
V&TC
ISCRAM,
Harvard,
UvT
Impact Evaluation
Impact Evaluation
What do we need?What do we want to know?What do we know?
BusinessV&TC
Practice
Theory
Impact Evaluation
What do we need?In general…
BusinessV&TC
Practice
Theory (2) Measure
Status quo
New situation
(1) Define
Indicators
Situations
(3) Analyze
Comparison
Conclusion
In general…Applications
BusinessV&TC
Practice
Theory
ProjectA
1. Impact evaluation
2. Impact assessment
3. Program evaluation
Project B
BusinessV&TC
Practice
Theory
•Determine how well specific initiatives perform
•Adjust and fine tune specific decisions/projects
•Determine ‘best’ response
•Manage provided solutions
•Secure resources
•AdvocateV&TC
• Impact evaluation
• Impact assessment
• Program evaluation
Use for V&TCApplications
BusinessV&TC
Practice
Theory
Use forV&TC
• Design principles of frameworks
• Types
• Measurements
• Indicators
• V&TC
• Objective
• Scope and focus
• Indicators
• Evaluate the framework
• Case studies
• Refine-able, usable tools
Next steps
Next stepsEvaluation types
Evaluation
Perspective
Systems
General Formative
Resource
centered
Efficiency
oriented
Goal centered
Effectiveness
oriented
Summative
Evaluation typesSystem evaluation
Evaluation
Perspective
Efficiency
oriented
Effectiveness
oriented
Systems
Resource
investment
Production
capability
Resource
consumption
Organization
Organizational
performance
User performance
System
performance
System evaluationEvaluation implementation
Organizational performance
Department A
(Sub)
Project A
(Sub)
Project B
(Sub)
Project C
Department B
Evaluation
framework
Project Management
Efficiency oriented
Effectiveness oriented
Scope
Overall impact of
the response to a crisis
Impact of the decision making
process on crisis
Impact of information products
on the decision making process
Effect of data processing
on information products
Impact of data collection
on data processing
Soft- en hardware impact
on the system performance
1.
2.
3.
4.
5.
6.
SUPPLIERCONSUMER
Evaluation implementation
level 0:
Request / definition
level 1:
Resource allocation
level 2:
Team capability
level 3:
Investments
Impact
level 1:
Support & information
level 2:
Decision making
level 3:
Response effectiveness
ScopeMeasurements
Efficiency-oriented
perspective
Effectiveness-
oriented
perspective
System
implementation
Product generation
efficiency
Response
effectiveness
V&TC deployment
MeasurementsIndicators
level 1:
Resource allocation
level 2:
Team capability
level 1:
Support & information
level 2:
Decision making
Impact
Objective Performance measure Applied toV&TC
System
development
Facilities allocation Availability of required (tech.) facilities
Schedule compliance Time required to setup required systems
Requirements definition The clarity of requested products
Operational
resources
Data collection efforts Time/effort required to analyze data
System maintenance Time/effort required to maintain system
Training/support/comm Efforts for user assistance.
Objective Performance measure Applied toV&TC
Team capacity
Productivity rate Level ofV&TC body deployment
Required man-hours The total amount of hours used
Operational
capability
Throughput Products delivered/users served
Utilization rate Hours to product ratio
Response time Turn-around time on specific requests
Objective Performance measure Applied toV&TC
System quality
Usability Ease of use of information products
System features Customization of information products
Access / Availability Ease to reach information products
Information quality
Understandability Presentation of gathered information
Consistency Provided information is consistent
Importance / Relevance Relevance of provided information
Objective Performance measure Applied toV&TC
Individual impact
Awareness / Recall Better situational awareness
Decision effectiveness Enhanced effectiveness of job
Individual productivity Increased personal productivity
Organizational
impact
Cost-effective Information products save resources
Increased capacity Increased effectiveness of operations
Overall productivity Potentially improved outcomes
4 suppliers, 7 consumers7 suppliers, 12 consumers
IndicatorsCase Study
Developpers and entry team
Specific knowledge
Time critical
No budget
Geographically seperate
Users are ‘unkown’
Developpers vs data entry
Expertise available
Time limited
Limited budget
Located in 1 office
Direct contact w. users
=
=
≈
≈
≠
≠
NGODHN
Case StudyInformation Supply
System NGO V&TC
FA:
SC:
RD:
Facilities
allocation
Schedule
compliance
Requirements
definition
Data collection
efforts
System
maintenance
Training, suppor
t and
communication
Operational resources System development
NGO Development V&TC Deployement
Resource NGO V&TC
DC:
SM:
TS:
Productivit
y
Required
man-hours
Throughpu
t
Utilization
rate
Response
time
Operational capability Team capacity
NGO Development V&TC Deployement
System NGO V&TC
PD:
MH:
Resource NGO V&TC
TP:
UR:
RT:
Level 2: Capabilities
Level 1: Resources
Information SupplyInformation use
System NGO V&TC
SF:
AV:
US:
Inform. NGO V&TC
US:
CO:
IM:
Individ. NGO V&TC
US:
AW:
EF:
PR:
Organ. NGO V&TC
OP:
CI:
CE:
US:
Level 2: Processes
Level 1: Information
Availability
Usability
System
features
Understandabi
lity
Consistency
Importance
NGO Development V&TC Deployement
System quality Information quality
Usage
Awareness
Effectiveness
ProductivityUsage
Cost-effective
Capacity increase
Overall…
NGO Development V&TC Deployement
Individual impact Organization impact
Information useFindings
•Agile vs.Waterfall
•Organizational use
•Strong integration
•Requirement analysis
•Sample selection
•Identifying population
•Also for other information supply chains
• Difference in system use
• Increasing impact
• Improving evaluation
Future work
V&TC
Feedback:
Increase
deployment
impact
Advocacy:
Secure
resources
Manage:
Improve
products
Findings
•Historical data
•Feedback loops
•Add/remove variables
•Scope of evaluation
• Refinements
• Framework design
• Application
Apply framework
Select case
Impact Evaluation
Framework
Select
particiapants
Control
group
Conducted
Interview
Apply framework
Select
particiapants
Control
group
Conducted
Interview
Verify results Verify results
Refine
Framework
Statistical
analysis
Data store
Model Refinement loop
Impact evaluation
outcome
Evaluation approach
V&TC
Feedback:
Increase
deployment
impact
Advocacy:
Secure
resources
Manage:
Improve
products
Feedback:
Manage
pool of
resources
Advocacy:
Common
understan-
diing of IS
impact
Manage:
Identify
gaps, ensur
e good fit
Coordination
Feedback:
Manage
pool of
resources
Advocacy:
Common
understan-
diing of IS
impact
Manage:
Identify
gaps, ensur
e good fit
Coordination
Feedback:
Improve
effectivenss
by IS use
Advocacy:
Articulate
needs, and
require-
ments
Manage:
Improve IS
use in future
responses
Decision Makers
Feedback:
Improve
effectivenss
by IS use
Advocacy:
Articulate
needs, and
require-
ments
Manage:
Improve IS
use in future
responses
Decision Makers
Impact Evaluation for theV&TC:
Communicate, Learn, Advocate

More Related Content

What's hot

Applying a User-Centered Design Approach to Improve Data Use in Decision Making
Applying a User-Centered Design Approach to Improve Data Use in Decision MakingApplying a User-Centered Design Approach to Improve Data Use in Decision Making
Applying a User-Centered Design Approach to Improve Data Use in Decision Making
MEASURE Evaluation
 
Using Data to Support the Most Vulnerable: An OVC Information Needs Framework
Using Data to Support the Most Vulnerable: An OVC Information Needs FrameworkUsing Data to Support the Most Vulnerable: An OVC Information Needs Framework
Using Data to Support the Most Vulnerable: An OVC Information Needs Framework
MEASURE Evaluation
 
Data Science in Biomedicine - Where Are We Headed?
Data Science in Biomedicine - Where Are We Headed?Data Science in Biomedicine - Where Are We Headed?
Data Science in Biomedicine - Where Are We Headed?
Philip Bourne
 
Assessing M&E Systems For Data Quality
Assessing M&E Systems For Data QualityAssessing M&E Systems For Data Quality
Assessing M&E Systems For Data Quality
MEASURE Evaluation
 
What Makes a Good Performance Management Plan? A new tool for managers
 What Makes a Good Performance Management Plan? A new tool for managers What Makes a Good Performance Management Plan? A new tool for managers
What Makes a Good Performance Management Plan? A new tool for managers
MEASURE Evaluation
 
Data Warehousing: Bridging Islands of Health Information Systems
Data Warehousing: Bridging Islands of Health Information Systems Data Warehousing: Bridging Islands of Health Information Systems
Data Warehousing: Bridging Islands of Health Information Systems
MEASURE Evaluation
 
Monitoring Scale-up of Health Practices and Interventions
Monitoring Scale-up of Health Practices and InterventionsMonitoring Scale-up of Health Practices and Interventions
Monitoring Scale-up of Health Practices and Interventions
MEASURE Evaluation
 
Performance improvement through mobile devices
Performance improvement through mobile devicesPerformance improvement through mobile devices
Performance improvement through mobile devices
Sawad thotathil
 
Digital Data Collection
Digital Data CollectionDigital Data Collection
Digital Data Collection
clearsateam
 
Freeing Up Investigators' Time to Engage with Patients
Freeing Up Investigators' Time to Engage with PatientsFreeing Up Investigators' Time to Engage with Patients
Freeing Up Investigators' Time to Engage with Patients
TransPerfect Trial Interactive
 
Leicester City Covid-19 Testing Programme webinar
Leicester City Covid-19 Testing Programme webinarLeicester City Covid-19 Testing Programme webinar
Leicester City Covid-19 Testing Programme webinar
Association for Project Management
 
Research paper impact evaluation for collaborative information supply chain
Research paper   impact evaluation for collaborative information supply chainResearch paper   impact evaluation for collaborative information supply chain
Research paper impact evaluation for collaborative information supply chain
Kenny Meesters
 
TRI's DIA 2015 Presentation, Therapeutic KRIs: Digestive Disease
TRI's DIA 2015 Presentation, Therapeutic KRIs:  Digestive DiseaseTRI's DIA 2015 Presentation, Therapeutic KRIs:  Digestive Disease
TRI's DIA 2015 Presentation, Therapeutic KRIs: Digestive Disease
TRI, the risk-based monitoring company
 
RDAP 15: The Role of Assessment in Research Data Services
RDAP 15: The Role of Assessment in Research Data ServicesRDAP 15: The Role of Assessment in Research Data Services
RDAP 15: The Role of Assessment in Research Data Services
ASIS&T
 
Decision support system : Concept and application
Decision support system : Concept and applicationDecision support system : Concept and application
Decision support system : Concept and application
Kawita Bhatt
 
Counselees’ use and evaluation of a website providing computer-tailored infor...
Counselees’ use and evaluation of a website providing computer-tailored infor...Counselees’ use and evaluation of a website providing computer-tailored infor...
Counselees’ use and evaluation of a website providing computer-tailored infor...
American Academy on Communication in Healthcare (AACH)
 
Journal for Clinical Studies: The Changing Organisation and Data Management R...
Journal for Clinical Studies: The Changing Organisation and Data Management R...Journal for Clinical Studies: The Changing Organisation and Data Management R...
Journal for Clinical Studies: The Changing Organisation and Data Management R...
KCR
 
Productivity for Medical Consultants
Productivity for Medical ConsultantsProductivity for Medical Consultants
Productivity for Medical Consultants
MTD Lakshan
 
Making Data Meaningful
Making Data MeaningfulMaking Data Meaningful
Making Data Meaningful
Amanda Makulec
 
Promise of Analytics
Promise of AnalyticsPromise of Analytics
Promise of Analytics
WCET Conference 2008
 

What's hot (20)

Applying a User-Centered Design Approach to Improve Data Use in Decision Making
Applying a User-Centered Design Approach to Improve Data Use in Decision MakingApplying a User-Centered Design Approach to Improve Data Use in Decision Making
Applying a User-Centered Design Approach to Improve Data Use in Decision Making
 
Using Data to Support the Most Vulnerable: An OVC Information Needs Framework
Using Data to Support the Most Vulnerable: An OVC Information Needs FrameworkUsing Data to Support the Most Vulnerable: An OVC Information Needs Framework
Using Data to Support the Most Vulnerable: An OVC Information Needs Framework
 
Data Science in Biomedicine - Where Are We Headed?
Data Science in Biomedicine - Where Are We Headed?Data Science in Biomedicine - Where Are We Headed?
Data Science in Biomedicine - Where Are We Headed?
 
Assessing M&E Systems For Data Quality
Assessing M&E Systems For Data QualityAssessing M&E Systems For Data Quality
Assessing M&E Systems For Data Quality
 
What Makes a Good Performance Management Plan? A new tool for managers
 What Makes a Good Performance Management Plan? A new tool for managers What Makes a Good Performance Management Plan? A new tool for managers
What Makes a Good Performance Management Plan? A new tool for managers
 
Data Warehousing: Bridging Islands of Health Information Systems
Data Warehousing: Bridging Islands of Health Information Systems Data Warehousing: Bridging Islands of Health Information Systems
Data Warehousing: Bridging Islands of Health Information Systems
 
Monitoring Scale-up of Health Practices and Interventions
Monitoring Scale-up of Health Practices and InterventionsMonitoring Scale-up of Health Practices and Interventions
Monitoring Scale-up of Health Practices and Interventions
 
Performance improvement through mobile devices
Performance improvement through mobile devicesPerformance improvement through mobile devices
Performance improvement through mobile devices
 
Digital Data Collection
Digital Data CollectionDigital Data Collection
Digital Data Collection
 
Freeing Up Investigators' Time to Engage with Patients
Freeing Up Investigators' Time to Engage with PatientsFreeing Up Investigators' Time to Engage with Patients
Freeing Up Investigators' Time to Engage with Patients
 
Leicester City Covid-19 Testing Programme webinar
Leicester City Covid-19 Testing Programme webinarLeicester City Covid-19 Testing Programme webinar
Leicester City Covid-19 Testing Programme webinar
 
Research paper impact evaluation for collaborative information supply chain
Research paper   impact evaluation for collaborative information supply chainResearch paper   impact evaluation for collaborative information supply chain
Research paper impact evaluation for collaborative information supply chain
 
TRI's DIA 2015 Presentation, Therapeutic KRIs: Digestive Disease
TRI's DIA 2015 Presentation, Therapeutic KRIs:  Digestive DiseaseTRI's DIA 2015 Presentation, Therapeutic KRIs:  Digestive Disease
TRI's DIA 2015 Presentation, Therapeutic KRIs: Digestive Disease
 
RDAP 15: The Role of Assessment in Research Data Services
RDAP 15: The Role of Assessment in Research Data ServicesRDAP 15: The Role of Assessment in Research Data Services
RDAP 15: The Role of Assessment in Research Data Services
 
Decision support system : Concept and application
Decision support system : Concept and applicationDecision support system : Concept and application
Decision support system : Concept and application
 
Counselees’ use and evaluation of a website providing computer-tailored infor...
Counselees’ use and evaluation of a website providing computer-tailored infor...Counselees’ use and evaluation of a website providing computer-tailored infor...
Counselees’ use and evaluation of a website providing computer-tailored infor...
 
Journal for Clinical Studies: The Changing Organisation and Data Management R...
Journal for Clinical Studies: The Changing Organisation and Data Management R...Journal for Clinical Studies: The Changing Organisation and Data Management R...
Journal for Clinical Studies: The Changing Organisation and Data Management R...
 
Productivity for Medical Consultants
Productivity for Medical ConsultantsProductivity for Medical Consultants
Productivity for Medical Consultants
 
Making Data Meaningful
Making Data MeaningfulMaking Data Meaningful
Making Data Meaningful
 
Promise of Analytics
Promise of AnalyticsPromise of Analytics
Promise of Analytics
 

Viewers also liked

Dimb pitch
Dimb pitchDimb pitch
Dimb pitch
Kenny Meesters
 
Bachelor Thesisdefence
Bachelor ThesisdefenceBachelor Thesisdefence
Bachelor Thesisdefence
Kenny Meesters
 
Stan Dorn's Health Care Reform Rundown
Stan Dorn's Health Care Reform RundownStan Dorn's Health Care Reform Rundown
Stan Dorn's Health Care Reform Rundown
ReportingonHealth
 
Filpping crisis response: What can the community do for you?
Filpping crisis response: What can the community do for you?Filpping crisis response: What can the community do for you?
Filpping crisis response: What can the community do for you?
Kenny Meesters
 
Building on Community Resilience in Post-earthquake Nepal
Building on Community Resilience in Post-earthquake NepalBuilding on Community Resilience in Post-earthquake Nepal
Building on Community Resilience in Post-earthquake Nepal
Kenny Meesters
 
Serious game disaster in my backyard, ISCRAM paper
Serious game disaster in my backyard, ISCRAM paperSerious game disaster in my backyard, ISCRAM paper
Serious game disaster in my backyard, ISCRAM paper
Kenny Meesters
 
#Help: Het regisseren van (online) dynamiek van burgers voor, tijdens en na ...
#Help: Het regisseren van (online) dynamiek van burgers voor, tijdens en na ...#Help: Het regisseren van (online) dynamiek van burgers voor, tijdens en na ...
#Help: Het regisseren van (online) dynamiek van burgers voor, tijdens en na ...
Kenny Meesters
 
OpenDag Okt 2015
OpenDag Okt 2015OpenDag Okt 2015
OpenDag Okt 2015
Kenny Meesters
 

Viewers also liked (8)

Dimb pitch
Dimb pitchDimb pitch
Dimb pitch
 
Bachelor Thesisdefence
Bachelor ThesisdefenceBachelor Thesisdefence
Bachelor Thesisdefence
 
Stan Dorn's Health Care Reform Rundown
Stan Dorn's Health Care Reform RundownStan Dorn's Health Care Reform Rundown
Stan Dorn's Health Care Reform Rundown
 
Filpping crisis response: What can the community do for you?
Filpping crisis response: What can the community do for you?Filpping crisis response: What can the community do for you?
Filpping crisis response: What can the community do for you?
 
Building on Community Resilience in Post-earthquake Nepal
Building on Community Resilience in Post-earthquake NepalBuilding on Community Resilience in Post-earthquake Nepal
Building on Community Resilience in Post-earthquake Nepal
 
Serious game disaster in my backyard, ISCRAM paper
Serious game disaster in my backyard, ISCRAM paperSerious game disaster in my backyard, ISCRAM paper
Serious game disaster in my backyard, ISCRAM paper
 
#Help: Het regisseren van (online) dynamiek van burgers voor, tijdens en na ...
#Help: Het regisseren van (online) dynamiek van burgers voor, tijdens en na ...#Help: Het regisseren van (online) dynamiek van burgers voor, tijdens en na ...
#Help: Het regisseren van (online) dynamiek van burgers voor, tijdens en na ...
 
OpenDag Okt 2015
OpenDag Okt 2015OpenDag Okt 2015
OpenDag Okt 2015
 

Similar to ISCRAM Impact Evaluation

McGeary Data Curation Network: Developing and Scaling
McGeary Data Curation Network: Developing and ScalingMcGeary Data Curation Network: Developing and Scaling
McGeary Data Curation Network: Developing and Scaling
National Information Standards Organization (NISO)
 
Mornitoring and Evaluation Plans.Understanding Data
Mornitoring and Evaluation Plans.Understanding DataMornitoring and Evaluation Plans.Understanding Data
Mornitoring and Evaluation Plans.Understanding Data
Edward561178
 
CCIH-2017-Monitoring-and-Evaluation-Preconference-Module-2
CCIH-2017-Monitoring-and-Evaluation-Preconference-Module-2CCIH-2017-Monitoring-and-Evaluation-Preconference-Module-2
CCIH-2017-Monitoring-and-Evaluation-Preconference-Module-2
Christian Connections for International Health
 
Cooperability for Interoperability
Cooperability for Interoperability Cooperability for Interoperability
Cooperability for Interoperability
MEASURE Evaluation
 
Assessing Perceived Usability of the Data Curation Profiles Toolkit Using th...
Assessing Perceived Usability of the Data Curation Profiles Toolkit  Using th...Assessing Perceived Usability of the Data Curation Profiles Toolkit  Using th...
Assessing Perceived Usability of the Data Curation Profiles Toolkit Using th...
Tao Zhang
 
Data Demand and Use : Facilitating the Use of Data to Inform Programs and Pla...
Data Demand and Use: Facilitating the Use of Data to Inform Programs and Pla...Data Demand and Use: Facilitating the Use of Data to Inform Programs and Pla...
Data Demand and Use : Facilitating the Use of Data to Inform Programs and Pla...
MEASURE Evaluation
 
Increasing District Level Evidence-based Decision Making in Cote d'Ivoire
Increasing District Level Evidence-based Decision Making in Cote d'IvoireIncreasing District Level Evidence-based Decision Making in Cote d'Ivoire
Increasing District Level Evidence-based Decision Making in Cote d'Ivoire
MEASURE Evaluation
 
Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...
Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...
Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...
Saama
 
Doing qualitative data analysis
Doing qualitative data analysisDoing qualitative data analysis
Doing qualitative data analysis
Irene Torres
 
Where Are We Now
Where Are We NowWhere Are We Now
Where Are We Now
MEASURE Evaluation
 
How to Assess and Continuously Improve Maturity of Health Information Systems...
How to Assess and Continuously Improve Maturity of Health Information Systems...How to Assess and Continuously Improve Maturity of Health Information Systems...
How to Assess and Continuously Improve Maturity of Health Information Systems...
MEASURE Evaluation
 
sources of data.ppt
sources of data.pptsources of data.ppt
sources of data.ppt
TeenaPS1
 
Building Information Systems for Community Programs
Building Information Systems for Community ProgramsBuilding Information Systems for Community Programs
Building Information Systems for Community Programs
MEASURE Evaluation
 
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
DATAVERSITY
 
PRISM
PRISMPRISM
130429 FINAL Poster
130429 FINAL Poster130429 FINAL Poster
130429 FINAL Poster
Elizabeth Nix, AICP
 
planning tools and techniqes by book of stephen robonsPresentation of mana...
planning tools and techniqes    by book of stephen robonsPresentation of mana...planning tools and techniqes    by book of stephen robonsPresentation of mana...
planning tools and techniqes by book of stephen robonsPresentation of mana...
Neha Raja
 
Big Data Analytics for Healthcare Decision Support- Operational and Clinical
Big Data Analytics for Healthcare Decision Support- Operational and ClinicalBig Data Analytics for Healthcare Decision Support- Operational and Clinical
Big Data Analytics for Healthcare Decision Support- Operational and Clinical
Adrish Sannyasi
 
Building New Institutional Capacity in M&E: The Experience of National AIDS C...
Building New Institutional Capacity in M&E: The Experience of National AIDS C...Building New Institutional Capacity in M&E: The Experience of National AIDS C...
Building New Institutional Capacity in M&E: The Experience of National AIDS C...
MEASURE Evaluation
 
Adapting Data Quality Assurance Approaches and Tools to Meet Local Needs
Adapting Data Quality Assurance Approaches and Tools to Meet Local Needs Adapting Data Quality Assurance Approaches and Tools to Meet Local Needs
Adapting Data Quality Assurance Approaches and Tools to Meet Local Needs
MEASURE Evaluation
 

Similar to ISCRAM Impact Evaluation (20)

McGeary Data Curation Network: Developing and Scaling
McGeary Data Curation Network: Developing and ScalingMcGeary Data Curation Network: Developing and Scaling
McGeary Data Curation Network: Developing and Scaling
 
Mornitoring and Evaluation Plans.Understanding Data
Mornitoring and Evaluation Plans.Understanding DataMornitoring and Evaluation Plans.Understanding Data
Mornitoring and Evaluation Plans.Understanding Data
 
CCIH-2017-Monitoring-and-Evaluation-Preconference-Module-2
CCIH-2017-Monitoring-and-Evaluation-Preconference-Module-2CCIH-2017-Monitoring-and-Evaluation-Preconference-Module-2
CCIH-2017-Monitoring-and-Evaluation-Preconference-Module-2
 
Cooperability for Interoperability
Cooperability for Interoperability Cooperability for Interoperability
Cooperability for Interoperability
 
Assessing Perceived Usability of the Data Curation Profiles Toolkit Using th...
Assessing Perceived Usability of the Data Curation Profiles Toolkit  Using th...Assessing Perceived Usability of the Data Curation Profiles Toolkit  Using th...
Assessing Perceived Usability of the Data Curation Profiles Toolkit Using th...
 
Data Demand and Use : Facilitating the Use of Data to Inform Programs and Pla...
Data Demand and Use: Facilitating the Use of Data to Inform Programs and Pla...Data Demand and Use: Facilitating the Use of Data to Inform Programs and Pla...
Data Demand and Use : Facilitating the Use of Data to Inform Programs and Pla...
 
Increasing District Level Evidence-based Decision Making in Cote d'Ivoire
Increasing District Level Evidence-based Decision Making in Cote d'IvoireIncreasing District Level Evidence-based Decision Making in Cote d'Ivoire
Increasing District Level Evidence-based Decision Making in Cote d'Ivoire
 
Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...
Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...
Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...
 
Doing qualitative data analysis
Doing qualitative data analysisDoing qualitative data analysis
Doing qualitative data analysis
 
Where Are We Now
Where Are We NowWhere Are We Now
Where Are We Now
 
How to Assess and Continuously Improve Maturity of Health Information Systems...
How to Assess and Continuously Improve Maturity of Health Information Systems...How to Assess and Continuously Improve Maturity of Health Information Systems...
How to Assess and Continuously Improve Maturity of Health Information Systems...
 
sources of data.ppt
sources of data.pptsources of data.ppt
sources of data.ppt
 
Building Information Systems for Community Programs
Building Information Systems for Community ProgramsBuilding Information Systems for Community Programs
Building Information Systems for Community Programs
 
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
Conformed Dimensions of Data Quality – An Organized Approach to Data Quality ...
 
PRISM
PRISMPRISM
PRISM
 
130429 FINAL Poster
130429 FINAL Poster130429 FINAL Poster
130429 FINAL Poster
 
planning tools and techniqes by book of stephen robonsPresentation of mana...
planning tools and techniqes    by book of stephen robonsPresentation of mana...planning tools and techniqes    by book of stephen robonsPresentation of mana...
planning tools and techniqes by book of stephen robonsPresentation of mana...
 
Big Data Analytics for Healthcare Decision Support- Operational and Clinical
Big Data Analytics for Healthcare Decision Support- Operational and ClinicalBig Data Analytics for Healthcare Decision Support- Operational and Clinical
Big Data Analytics for Healthcare Decision Support- Operational and Clinical
 
Building New Institutional Capacity in M&E: The Experience of National AIDS C...
Building New Institutional Capacity in M&E: The Experience of National AIDS C...Building New Institutional Capacity in M&E: The Experience of National AIDS C...
Building New Institutional Capacity in M&E: The Experience of National AIDS C...
 
Adapting Data Quality Assurance Approaches and Tools to Meet Local Needs
Adapting Data Quality Assurance Approaches and Tools to Meet Local Needs Adapting Data Quality Assurance Approaches and Tools to Meet Local Needs
Adapting Data Quality Assurance Approaches and Tools to Meet Local Needs
 

Recently uploaded

Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Tomaz Bratanic
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Neo4j
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
DianaGray10
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Edge AI and Vision Alliance
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
kumardaparthi1024
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Safe Software
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
tolgahangng
 

Recently uploaded (20)

Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
 

ISCRAM Impact Evaluation

  • 1. Designing towards an impact evaluation framework for a collaborative information supply chain KENNY MEESTERS, BARTEL VAN DE WALLE ISCRAM BADEN-BADEN, MAY 2013
  • 2. Outline Outline Domain Processes Evaluation types Systems evaluation Evaluation perspectives Scope Measurement Concept Supply Usage Findings Objectives Indicators Conclusion Results V&TC Design Approach Research Future work
  • 4. Volunteer Training Open* SBTF Transition Impact Evaluation Decision Makers Data Scramble Data licensing Preparedness UN OCHA IM ISCRAM IMMAP, Google, Mapaction Woodrow, UN, Harvard, OSM Mapaction, GISCorp, Munster ISCRAM, ICT4Peace, Mapaction SBTF, UNV ISCRAM, Harvard, UvT TBC UNV, Munster “The challenge is to improve coordination between the structured humanitarian system and the relatively loosely organized volunteer and technical communities. ” -Valerie Amos, UN Under-Secretary-General V&TC ISCRAM, Harvard, UvT Impact Evaluation Impact Evaluation
  • 5. What do we need?What do we want to know?What do we know? BusinessV&TC Practice Theory Impact Evaluation
  • 6. What do we need?In general… BusinessV&TC Practice Theory (2) Measure Status quo New situation (1) Define Indicators Situations (3) Analyze Comparison Conclusion
  • 7. In general…Applications BusinessV&TC Practice Theory ProjectA 1. Impact evaluation 2. Impact assessment 3. Program evaluation Project B
  • 8. BusinessV&TC Practice Theory •Determine how well specific initiatives perform •Adjust and fine tune specific decisions/projects •Determine ‘best’ response •Manage provided solutions •Secure resources •AdvocateV&TC • Impact evaluation • Impact assessment • Program evaluation Use for V&TCApplications
  • 9. BusinessV&TC Practice Theory Use forV&TC • Design principles of frameworks • Types • Measurements • Indicators • V&TC • Objective • Scope and focus • Indicators • Evaluate the framework • Case studies • Refine-able, usable tools Next steps
  • 10. Next stepsEvaluation types Evaluation Perspective Systems General Formative Resource centered Efficiency oriented Goal centered Effectiveness oriented Summative
  • 12. System evaluationEvaluation implementation Organizational performance Department A (Sub) Project A (Sub) Project B (Sub) Project C Department B Evaluation framework Project Management Efficiency oriented Effectiveness oriented
  • 13. Scope Overall impact of the response to a crisis Impact of the decision making process on crisis Impact of information products on the decision making process Effect of data processing on information products Impact of data collection on data processing Soft- en hardware impact on the system performance 1. 2. 3. 4. 5. 6. SUPPLIERCONSUMER Evaluation implementation
  • 14. level 0: Request / definition level 1: Resource allocation level 2: Team capability level 3: Investments Impact level 1: Support & information level 2: Decision making level 3: Response effectiveness ScopeMeasurements Efficiency-oriented perspective Effectiveness- oriented perspective System implementation Product generation efficiency Response effectiveness V&TC deployment
  • 15. MeasurementsIndicators level 1: Resource allocation level 2: Team capability level 1: Support & information level 2: Decision making Impact Objective Performance measure Applied toV&TC System development Facilities allocation Availability of required (tech.) facilities Schedule compliance Time required to setup required systems Requirements definition The clarity of requested products Operational resources Data collection efforts Time/effort required to analyze data System maintenance Time/effort required to maintain system Training/support/comm Efforts for user assistance. Objective Performance measure Applied toV&TC Team capacity Productivity rate Level ofV&TC body deployment Required man-hours The total amount of hours used Operational capability Throughput Products delivered/users served Utilization rate Hours to product ratio Response time Turn-around time on specific requests Objective Performance measure Applied toV&TC System quality Usability Ease of use of information products System features Customization of information products Access / Availability Ease to reach information products Information quality Understandability Presentation of gathered information Consistency Provided information is consistent Importance / Relevance Relevance of provided information Objective Performance measure Applied toV&TC Individual impact Awareness / Recall Better situational awareness Decision effectiveness Enhanced effectiveness of job Individual productivity Increased personal productivity Organizational impact Cost-effective Information products save resources Increased capacity Increased effectiveness of operations Overall productivity Potentially improved outcomes
  • 16. 4 suppliers, 7 consumers7 suppliers, 12 consumers IndicatorsCase Study Developpers and entry team Specific knowledge Time critical No budget Geographically seperate Users are ‘unkown’ Developpers vs data entry Expertise available Time limited Limited budget Located in 1 office Direct contact w. users = = ≈ ≈ ≠ ≠ NGODHN
  • 17. Case StudyInformation Supply System NGO V&TC FA: SC: RD: Facilities allocation Schedule compliance Requirements definition Data collection efforts System maintenance Training, suppor t and communication Operational resources System development NGO Development V&TC Deployement Resource NGO V&TC DC: SM: TS: Productivit y Required man-hours Throughpu t Utilization rate Response time Operational capability Team capacity NGO Development V&TC Deployement System NGO V&TC PD: MH: Resource NGO V&TC TP: UR: RT: Level 2: Capabilities Level 1: Resources
  • 18. Information SupplyInformation use System NGO V&TC SF: AV: US: Inform. NGO V&TC US: CO: IM: Individ. NGO V&TC US: AW: EF: PR: Organ. NGO V&TC OP: CI: CE: US: Level 2: Processes Level 1: Information Availability Usability System features Understandabi lity Consistency Importance NGO Development V&TC Deployement System quality Information quality Usage Awareness Effectiveness ProductivityUsage Cost-effective Capacity increase Overall… NGO Development V&TC Deployement Individual impact Organization impact
  • 19. Information useFindings •Agile vs.Waterfall •Organizational use •Strong integration •Requirement analysis •Sample selection •Identifying population •Also for other information supply chains • Difference in system use • Increasing impact • Improving evaluation
  • 20. Future work V&TC Feedback: Increase deployment impact Advocacy: Secure resources Manage: Improve products Findings •Historical data •Feedback loops •Add/remove variables •Scope of evaluation • Refinements • Framework design • Application Apply framework Select case Impact Evaluation Framework Select particiapants Control group Conducted Interview Apply framework Select particiapants Control group Conducted Interview Verify results Verify results Refine Framework Statistical analysis Data store Model Refinement loop Impact evaluation outcome Evaluation approach V&TC Feedback: Increase deployment impact Advocacy: Secure resources Manage: Improve products Feedback: Manage pool of resources Advocacy: Common understan- diing of IS impact Manage: Identify gaps, ensur e good fit Coordination Feedback: Manage pool of resources Advocacy: Common understan- diing of IS impact Manage: Identify gaps, ensur e good fit Coordination Feedback: Improve effectivenss by IS use Advocacy: Articulate needs, and require- ments Manage: Improve IS use in future responses Decision Makers Feedback: Improve effectivenss by IS use Advocacy: Articulate needs, and require- ments Manage: Improve IS use in future responses Decision Makers Impact Evaluation for theV&TC: Communicate, Learn, Advocate

Editor's Notes

  1. First step, how we can determine the impactWhy is it important? We develop a lot of tools and provide servicesHow effective is that, how can we better focus our efforts
  2. Impact evaluation important part to further steer the development of the V&TC.Understand how the affect the response and how this can be improved.
  3. Our approach: looking at business to derive theories and practicesThis requires translation
  4. How do evaluations work, what are they made up of?
  5. What are evaluations used for?
  6. What can we use evalautions for?
  7. How do we build our evaluation framework?
  8. We have two types:Look at the outcomes or look at the process
  9. Construct an evaluation framework:Ingredients:Objective (Assesment, evaluate project, evaluate program), Scope, Measurments, IndicatorsAll derived from anotherHow does it fit into a process
  10. IT is a small part of the entire operationLet start by examinng the scope,Main focus the use of products in the processes and organization of the desiscion makerNot including the impact on the decision made.With each level more factors (confounding variables) are introduced, blurring the measurment.
  11. Next look at the measurments, again two views:-The efficiency for the generation of products-The effectivenss of the use of those products-Combined they yield the impact
  12. From measurements we derive indicators. Various existing framework are used to find the indicators and are then translated to the V&TC community.
  13. Two case studies used to test framwork. It does not give general informationObjective to detect diferences between two IS deploymentsSome similarities some differences. Results are checked with interviews
  14. Example output of evaluation frameworkGood in data collection and facilitatiesHigh prouctivy: for limited amount of time
  15. Systems:High availbility and usablity in the V&TC systemsProcesses limited:Capacity increase, cost effective
  16. Yes, we can design an evaluation framework that provides usefull resultsThe analysis show that the framework is able to pick up on key differences between ‘regular’ and V&TC deployments. Main point: integration and sustainbilityFor framework: embed in process, easy-to-use and part of deployementStill depend on sampling, need quantifable indicators and automation
  17. The thesis was to demonstrate the feasibility and explore the domain. We succeededNOT to develop an accurate framework but lead by example and discussionThe biggest question: how are we going to use evaluation and wherefor.Importance: manage pool of growing options for DM, and improve quality of systems realtimeThis will determine the refinements and research efforts for further development