The International Institute of Tropical Agriculture (IITA) is one of the world's leading research partners in finding solutions for hunger, malnutrition, and poverty. Our award-winning research for development (R4D) addresses the development needs of tropical countries. We work with partners to enhance crop quality and productivity, reduce producer and consumer risks, and generate wealth from agriculture. We are a nonprofit organization founded in 1967, governed by a Board of Trustees, and supported by several countries. Our mission is to enhance food security and improve livelihoods in Africa through research for development (R4D). We use the R4D model in setting a research course that addresses major development problems in Africa rather than simply contributing to scientific knowledge. It has proven to be an effective mechanism for agricultural research development. We and our partners have delivered about 70% of the international research impact in sun-Saharan Africa in the last three decades.
DUTIES:
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).
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.
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.
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.
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.
- 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.
Method of Application
Signup to view application details.
Signup Now
