[PT2021] TRAINING INVITATION ON ODK FOR MONITORING AND EVALUATION 20th to 24th Jan 2025
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TRAINING
COURSE ON ODK FOR MONITORING AND EVALUATION
Introduction
In
an era where data-driven decision-making is paramount, effective monitoring and
evaluation (M&E) practices are essential for organizations striving to
enhance their programmatic impact. The Open Data Kit (ODK) provides a powerful
suite of tools that empower practitioners to collect, manage, and analyze data
seamlessly. This training course is designed to equip participants with the
skills necessary to leverage ODK for robust monitoring and evaluation processes,
ensuring that organizations can derive actionable insights from their
data.
By
integrating ODK into their M&E frameworks, organizations can streamline data
collection processes, improve data quality, and foster a culture of
accountability and transparency. This training will provide participants with
hands-on experience in utilizing ODK for designing surveys, collecting field
data, and generating reports. As organizations increasingly prioritize
evidence-based strategies, mastering ODK is vital for professionals committed to
enhancing program effectiveness.
The
course will delve into real-world applications of ODK, illustrating how various
organizations have successfully implemented the toolkit in their monitoring and
evaluation efforts. Participants will engage with case studies that highlight
the transformative impact of ODK on project outcomes, showcasing its versatility
across sectors. By the end of the training, attendees will not only be
proficient in using ODK but also be prepared to advocate for data-driven M&E
practices within their organizations.
Duration
5
days
REGISTER
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HERE
Course
Objectives
By
the end of this training, participants will be able to:
Understand
the principles and importance of monitoring and evaluation in organizational
contexts.
Utilize
ODK tools for effective data collection and management.
Design
and implement surveys using ODK Collect.
Analyze
data collected via ODK and derive actionable insights.
Generate
reports and visualizations to communicate findings
effectively.
Apply
best practices in data quality assurance and ethical
considerations.
Adapt
ODK for various sectors and project types.
Collaborate
with team members in managing and analyzing data.
Implement
feedback mechanisms to enhance M&E processes.
Advocate
for the use of ODK and data-driven decision-making within their
organizations.
Organizational
Benefits
Streamlined
data collection processes, saving time and resources.
Enhanced
data quality through standardized tools and procedures.
Improved
decision-making capabilities based on accurate data
insights.
Increased
accountability and transparency in program
implementation.
Strengthened
capacity for data management among staff.
Greater
ability to measure and demonstrate program impact.
Facilitated
collaboration among stakeholders through shared data.
Cost-effective
solutions for data collection compared to traditional
methods.
Timely
reporting and feedback mechanisms for continuous
improvement.
Enhanced
organizational reputation as a data-driven entity.
Target
Participants
This
training course is ideal for:
Monitoring
and Evaluation Officers
Project
Managers
Data
Analysts
Program
Coordinators
Research
Assistants
Nonprofit
and NGO Staff
Government
Officials involved in M&E
Students
pursuing careers in data science or social research
Consultants
specializing in M&E
Anyone
interested in enhancing their data collection and analysis
skills
Course
Outline
Module
1: Introduction to Monitoring and Evaluation
Understanding
M&E concepts and frameworks.
Importance
of M&E in organizational performance.
Key
components of effective M&E systems.
Overview
of ODK and its role in M&E.
Case
Study: Successful M&E implementation using ODK.
Module
2: Setting Up ODK
Installing
and configuring ODK tools.
Designing
forms for data collection.
Understanding
different question types and logic.
Best
practices for form design.
Case
Study: Form design challenges and solutions.
Module
3: Data Collection Techniques
Utilizing
ODK Collect for field data collection.
Offline
data collection methods.
Engaging
field staff in data collection.
Addressing
common data collection challenges.
Case
Study: Overcoming barriers to data collection.
Module
4: Data Management and Quality Assurance
Strategies
for ensuring data quality.
Data
storage and management using ODK Aggregate.
Conducting
data validation and cleaning.
Ethical
considerations in data handling.
Case
Study: Data quality improvements through ODK.
Module
5: Data Analysis and Reporting
Analyzing
data using ODK and compatible tools.
Generating
reports and visualizations.
Communicating
findings to stakeholders.
Utilizing
data for program improvement.
Case
Study: Transformative impacts of data-driven
reporting.
Module
6: Implementing ODK in Different Contexts
Adapting
ODK for various sectors (health, education, etc.).
Collaborating
with stakeholders for successful implementation.
Establishing
feedback loops for continuous improvement.
Scaling
ODK solutions across organizations.
Case
Study: ODK application in diverse settings.
Methodology
Participants
will gain skills that will not only transform their approach to monitoring and
evaluation but also empower them to drive meaningful change within their
organization and the communities they serve.
The
instructor led trainings are delivered using a blended learning approach and
comprises of presentations, guided sessions of practical exercise, web-based
tutorials and group work. Our facilitators are seasoned industry experts with
years of experience, working as professional and trainers in these
fields.
Register
as a group from 3 participants for a Discount
Send
us an email: info at datastatresearch.org or
call +254724527104
Certification
Upon
successful completion of this training, participants will be issued with a
globally- recognized certificate.
Tailor-Made
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