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.
Duration: 6 months’ renewable
DUTIES:
- Maintain and assure smooth functioning and reliable “up time” of CKAN and its API.
- Refine CKAN fields and features where necessary to maintain alignment with CGIAR’s Open and FAIR Data Assets Policy and agreed common metadata schema.
- Receive datasets, and render them FAIR using the FAIRscribe or Carob workflows, cataloguing and checking metadata and adding and improving fields as needed in both CKAN and the datasets, in alignment with CGIAR schemas and policies.
- Upload FAIRified datasets in a timely manner to CKAN with persistent identifiers, assessing the need to convert file formats if needed.
- Ensure smooth functioning of workflows for upload and download of data and connection with critical databases/platforms, (e.g., CassavaBase, SharePoint, GARDIAN).
- Develop and/or maintain links to other repositories, especially the python-based GeoNode, using APIs where possible, assume responsibility for server administration and up time.
- Perform any other job-related duties as may be assigned by the Supervisor.
QUALIFICATION:
- BSc/HND in Computer Science, Mathematics, Statistics or related field with a minimum of three (3) years’ experience performing similar role in a well-structured environment. Experience in agricultural-related domain is an added advantage.
COMPETENCIES:
The ideal candidate must have:
- Have proven experience in setting up a corporate CKAN platform.
- Be experienced working with CKAN or any other open access data/tabular repository.
- Strong programming skills in Python (or PHP), and at least intermediate skills in R.
- Working knowledge of BI or Tableau.
- Good programming skills in html, CSS, JavaScript, web frameworks and general open source usage.
Method of Application
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