Research Data Management Officer at IITA - International Institute of Tropical Agriculture

Job Overview

Location
Lagos, Oyo
Job Type
Full Time
Date Posted
10 days ago

Additional Details

Job ID
139974
Job Views
30

Job Description






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.



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