Research Data Management Officer

Support data management and analysis for project activities.

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IITA - International Institute of Tropical Agriculture

Open positions at IITA / Open positions at CGIAR
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Overview

Support data management and analysis for project activities.

You have:

  • HND/BSc in Computer Science/Engineering, Information Technology, Statistics or any other related course.
  • Minimum of six (6) years’ experience in performing similar roles in a well-structured environment.
  • Previous experience in agricultural research or development projects is an added advantage.
  • Strong knowledge of data management systems (ODK, KoboToolbox, or similar).
  • Solid understanding of data curation, metadata standards, and repositories (CKAN, Dataverse, DublinCore, DDI).
  • Experience with digital data cleaning and wrangling tools (e.g., R, Python, Stata, SPSS).
  • Proficiency in data analysis and visualization tools (Excel, SPSS, R, Stata, Python, Power BI).
  • Excellent communication, teamwork, and capacity-building skills.

Position: Research Data Management Officer

Contract: 1-year renewable contract Location: Ibadan

Closing Date: 18 December 2025

DUTIES:

Ø Data Collection and Documentation

· Support project teams in designing and using data collection tools (digital and paper-based).

· Ensure data collection, cleaning, validation, and documentation are carried out in line with IITA/CGIAR standards.

· Support the development and implementation of project Data Management Plans (DMPs).

Ø Data Management and Curation

· Clean, validate, and store datasets generated from project activities.

· Ensure compliance with lITA and donor data management policies, including metadata documentation.

· Curate and archive datasets in institutional repositories, ensuring compliance with the FAIR principles.

· Develop and maintain secure databases and repositories for project data.

· Prepare datasets for submission to lITA repositories, CSpace, and other open data platforms linking them to project outputs.

Ø Data Analysis and Reporting

· Support in the preparation of periodic project reports, dashboards, and visualizations.

· Provide preliminary data analysis to inform program decisions and strategy.

· Assist in generating datasets and evidence for publications, policy briefs, and knowledge products.

Ø Capacity Building and Support

· Build the capacity of project staff and youth beneficiaries in data literacy and management.

· Provide technical support and training to staff and partners on data management practices.

· Provide ongoing technical support in data entry, storage, and retrieval.

Ø Collaboration and Knowledge Sharing

· Liaise with lITA's Data Management and Open Access teams to align with institutional standards.

· Facilitate data sharing within project networks and contribute to open data initiatives where appropriate.

· Apply and promote the use of metadata standards and repositories (e.g., AGROVOC, DataCite, CGSpace).

· Maintain records of datasets generated and shared by the project.

Ø Perform any other job-related tasks as may be assigned by the supervisor.

Requirements

QUALIFICATION:

HND/BSc in Computer Science/Engineering, Information Technology, Statistics or any other related course. The ideal candidate must have a minimum of six (6) years’ experience in performing similar role in a well-structured environment.

Previous experience in agricultural research or development projects is an added advantage.

COMPETENCIES:

The ideal candidate must:

  • Demonstrate strong knowledge of data management systems (ODK, KoboToolbox, or similar).
  • Possess solid understanding of data curation, metadata standards, and repositories (CKAN, Dataverse, DublinCore, DDI).
  • Have experience with digital data cleaning and wrangling tools (e.g., R, Python, Stata, SPSS).
  • Show proficiency in data analysis and visualization tools (Excel, SPSS, R, Stata, Python, Power BI).
  • Exhibit excellent communication, teamwork, and capacity-building skills.

Benefits

REMUNERATION:

We offer highly competitive salary with equally attractive benefits and excellent working conditions in a pleasant campus environment.

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Potential interview questions

Can you describe your experience with data management systems such as ODK or KoboToolbox? This question assesses your familiarity with essential data management tools required for the role. Highlight specific projects where you successfully implemented these tools.
What techniques do you use for data cleaning and validation? This question evaluates your approach to maintaining data integrity. Pro members can see the explanation.
How do you ensure compliance with data management policies? Pro members can see the explanation. Pro members can see the explanation.
Can you give an example of how you've built capacity in others regarding data management? Pro members can see the explanation. Pro members can see the explanation.
How do you approach data analysis to inform program decisions? Pro members can see the explanation. Pro members can see the explanation.
Have you ever faced challenges in data sharing across project networks? How did you overcome them? Pro members can see the explanation. Pro members can see the explanation.
Describe a project where you had to prepare datasets for publication. Pro members can see the explanation. Pro members can see the explanation.
What tools do you use for data visualization and why do you prefer them? Pro members can see the explanation. Pro members can see the explanation.
Added 5 months ago - Updated 5 months ago - Source: cgiar.org