Summary
Date Posted: Tuesday, April 09 2024, Base Salary: Not Disclosed

JOB DETAILS:
Terms of reference for data cleaning, analysis interpretation and presentation for SRP standard and Performance indicator in comparison to the baseline data sets.

This Terms of reference is being sought to accomplish work on data analysis, interpretation and presentation for both seasonal SRP standard and Performance indicators in comparison to the baseline values of the same for the DGD rice program together with the G-STIC project being implemented by Rikolto Uganda.

Rice is the daily staple food of 3.5 billion people. One out of 5 people on our planet derives a livelihood from rice. In 2050, the world will face a big production shortfall estimated at 40%. How can we address this global challenge while protecting the environment, adapting to and mitigating climate change impacts, and uplifting smallholder’s livelihoods? And how can we guarantee that consumers have access to safe, healthy and sustainable rice?

Rice producers are both victims and contributors to climate change. Today, they are already amongst the most vulnerable to the impacts of climate change due to high temperatures, and raising sea levels. At the same time, flooded paddy fields are estimated to generate about 10% of global methane emissions. Rice requires about 40% of the world’s irrigation water, putting intense pressure on sometimes scarce water resources. Consumers are increasingly raising their demand for safe and healthy rice but this demand is not yet at the level where it can push adoption of the sustainable practices.

The Sustainable Rice Platform (SRP) is a global multi-stakeholder partnership with over 100 members working towards a common goal to promote resource efficiency and sustainability in the global rice sector and enable 1 million rice farmers to adopt climate smart sustainable best practices by 2030.

Overall purpose of the assignment
The overall purpose of the assignment is to clean, analyse, interpret and make sense of seasonal SRP Standard and SRP performance Indicator data for 2023 in comparison to baseline SRP Standard and SRP Performance Indicator data from available data sets.

Specific tasks of this assignment
The consultant is expected to undertake the following tasks;
• Data cleaning of the already collected data on the kobo collect tool.
• Comparison analysis of the seasonal and baseline data on SRP standard and Performance indicator surveys as in the Kobo collect tool of Rikolto.
• Prepare presentation of comparison data on SRP standard and Performance indicator analysed data in form of a report to aid policy proposal formulation.

Duration
• The assignment is expected to be completed within a period of 10 working days.

Deliverables
• 7 Complete cleaned data sets for SRP standard and SRP performance indicator
• 7 Complete cleaned data forms for SRP Performance indicators
• Analyzed seasonal and baseline data compared and interpreted for sharing with other stakeholders as proof of or not SRP practices.

Qualification, experience and competencies
The consultant for this assignment should have:
• Experience in data cleaning, analysis and presentation of Kobo collect SRP generated data.
• Experience in presenting research data to a wide range of stakeholders.
• A holder of at least a Masters degree in natural sciences.

Work Hours: 8

Experience in Months: 60

Level of Education: Postgraduate Degree

Job application procedure
Interested applicants must submit their applications via email to: eastafrica.recruitment@rikolto.org by 13th April 2024 6pm East Africa Time. The email subject line should clearly indicate "Consultancy for cleaning and presenting baseline data sets for the rice program in Rikolto Uganda" in the subject heading. Late applications will not be considered.


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