Data management 7 nov 2013

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Data Management Part 1 ILRI Graduate Fellows skills training Nairobi 7 November 2013

Transcript of Data management 7 nov 2013

Page 1: Data management 7 nov 2013

Data Management Part 1

ILRI Graduate Fellows skills trainingNairobi 7 November 2013

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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.

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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

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Why is it important to effectively manage data?

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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………………….

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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

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Mobile Data Collection Tools

• ODK (Open Data Kit) • KoBo Toolbox • Form Hub • Survey CTO • FAST (Field Adaptable Survey Tool) -

GeoAge

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Why Mobile Data Collection?• Simple • Secure • Flexible

• Smart

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ODK – Open Data Kit

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The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI.

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