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Data Management Part 1
ILRI Graduate Fellows skills training
Nairobi 7 November 2013
Session Objectives
• Be able to describe, design and apply different data capture
tools i.e. access, excel, CSPro, ODK
• Be able to document data using various tools available
• Be able to evaluate different data capture and documentation
tools available and identify the most suitable to your research
• Gain knowledge on the use and application of GPS and GIS
data capture tools – introductory level.
Research Process
• Problem definition
• Literature review
• Objective & hypothesis
• Study design
• Sampling
• Data collection
• Data management
• Formal analysis
• Reporting
• Publication
• Data archiving or
publication
Project development implementation Communicating findings
Definition of problem
domain & how the
specific problem fits in
Identification of gaps,
appropriate methods &
theory
Research will approve or
disapprove the hypothesis
Research strategy to be
used, sample size,
sampling frame
 Sample selection
 Data collection tools
 Database development and
data cleaning
 Exploration, description,
modelling & interpretation
of statistical outputs
 Choice of reporting
media & format
 Advise on presentation
of results
 Data sharing media
Why is it important to effectively manage data?
Data Management Planning
A data management and sharing plan helps researchers consider,
when research is being designed and planned, how data will be
managed during the research process and shared afterwards with
the wider research community………..
Improve the longevity and quality of research data, making sure
data can be shared beyond the primary research………………….
What to look for when selecting a tool
• Features
• Synchronization
• Interoperability and connectivity
• Hardware requirements and capabilities required
• System features and platform characteristics
• Visualization and analysis features
• Flexibility
• Availability of support – technical users support
Mobile Data Collection Tools
• ODK (Open Data Kit)
• KoBo Toolbox
• Form Hub
• Survey CTO
• FAST (Field Adaptable Survey Tool) -
GeoAge
Why Mobile Data Collection?
• Simple
• Secure
• Flexible
• Smart
ODK – Open Data Kit
The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI.
better lives through livestock
ilri.org

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Data management 7 nov 2013

  • 1. Data Management Part 1 ILRI Graduate Fellows skills training Nairobi 7 November 2013
  • 2. Session Objectives • Be able to describe, design and apply different data capture tools i.e. access, excel, CSPro, ODK • Be able to document data using various tools available • Be able to evaluate different data capture and documentation tools available and identify the most suitable to your research • Gain knowledge on the use and application of GPS and GIS data capture tools – introductory level.
  • 3. Research Process • Problem definition • Literature review • Objective & hypothesis • Study design • Sampling • Data collection • Data management • Formal analysis • Reporting • Publication • Data archiving or publication Project development implementation Communicating findings Definition of problem domain & how the specific problem fits in Identification of gaps, appropriate methods & theory Research will approve or disapprove the hypothesis Research strategy to be used, sample size, sampling frame  Sample selection  Data collection tools  Database development and data cleaning  Exploration, description, modelling & interpretation of statistical outputs  Choice of reporting media & format  Advise on presentation of results  Data sharing media
  • 4. Why is it important to effectively manage data?
  • 5. Data Management Planning A data management and sharing plan helps researchers consider, when research is being designed and planned, how data will be managed during the research process and shared afterwards with the wider research community……….. Improve the longevity and quality of research data, making sure data can be shared beyond the primary research………………….
  • 6. What to look for when selecting a tool • Features • Synchronization • Interoperability and connectivity • Hardware requirements and capabilities required • System features and platform characteristics • Visualization and analysis features • Flexibility • Availability of support – technical users support
  • 7. Mobile Data Collection Tools • ODK (Open Data Kit) • KoBo Toolbox • Form Hub • Survey CTO • FAST (Field Adaptable Survey Tool) - GeoAge
  • 8. Why Mobile Data Collection? • Simple • Secure • Flexible • Smart
  • 9. ODK – Open Data Kit
  • 10. The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI. better lives through livestock ilri.org