IITA recruits Head of Data and Research Methods Unit in Ibadan Office
Acting as the primary convener for a smoothly functioning team that includes data scientists, data managers, geospatial scientists, bioinformaticians, biometricians and other key personnel, with formalized participation of legal and other experts as needed.: - Maintaining, revising as necessary, and operationalizing IITA’s data management strategy.: -
Ensuring that IITA data is open and FAIR (Findable, Accessible, Interoperable, and Reusable) through the use of common standards, ethically managed, and available via a common database in compliance with CGIAR’s Open and FAIR Data Assets Policy - with long-term archiving in IITA’s institutional repository. - Assuring that IITA publications are Open Access. -
Implementing robust data governance and compliance and working with other relevant IITA units (including those dealing with project management and reporting, legal issues etc.) to incentivize best practices in relation to data management. -
Facilitating access to and incentivizing use of ready-to-deploy tools and capabilities by IITA researchers and partners that enable digital collection of FAIR data and render high-value historical data FAIR. - Enabling unified access to data systems and seamless integration across tools and services facilitate and speed up the research cycle, including cost-optimized compute/store solutions (with collaborative capabilities where needed).: -
Institutionalizing and incentivizing open and FAIR data assets by addressing lack of knowledge, attitude, skills and habits (KASH) by developing SoPs, building the data science and data management capacity of IITA scientists and their partners, organizing hackathons etc. Position Responsibilities: - Establish, lead, and manage a new Data and Research Methods Unit at IITA, bringing together siloed data and associated management efforts (e.g., bioinformatics, soils, GIS, breeding, agronomy) under a single DRMU umbrella. -
Assume responsibility for developing and managing a budget for the DRMU. - Building on the draft IITA data management strategy and ongoing developments at the CGIAR level, finalize a strategy and operational plan for the Unit that addresses needs and brings clarity to teams, their roles, responsibilities, reporting, and unit functions.
Apart from these, the strategy should: - Identify mechanisms for at least partial cost recovery of the unit. - Develop a structure, staffing plan, and timetable for filling positions. - Identify KPIs for the DRMU and its sub-teams, along with key deliverables for the short (1 year) and medium term (3 years). - Develop a communication plan to ensure that all IITA staff are aware of the role of the unit, the support it provides, and the responsibilities of both IITA and DRMU staff. - Identify existing products, tools, and approaches across IITA and CGIAR that enable FAIRER (Findable, Accessible, Interoperable, Reusable, Ethical, and Replicable) data, and develop a strategy to minimize duplication of effort and institutionalize their use. - Establish necessary protocols, procedures, and training plans to assure that IITA data management adheres to CGIAR policy and more broadly to FAIRER principles. -
Enable the generation of value from a harmonized data infrastructure for the institute, e.g., direct calculation of key performance indicators on numbers of partners reached, partners involved, use of research products, etc. by gender, technology, crop, and more - across all IITA projects and research domains. - Identify needs and facilitate a training program to enable IITA scientists to use relevant data science approaches. - Develop processes and incentives to ensure that staff comply with FAIRER data management policies and procedures, formalizing links with IITA’s legal and project management teams to track FAIRER data through a project’s life cycle.
For information on how to apply visit the link below:
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