CABI centre: Wallingford
Over 140 staff are based at CABI’s corporate office in Wallingford, working in Publishing, Sales and Customer Service, IT, Marketing, Finance, Project Development and Digital Development.
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Data Policy Analyst, Digital Development
CABI, Nosworthy Way, Wallingford, Oxfordshire OX10 8DE, UK
BA (Oxon) in Biological Sciences; PhD in plant pathogen temperature ecology
My PhD combined elements of data science, modelling and microbiology to investigate the temperature ecology of plant pathogens, of which, CABI’s databases were crucial for various elements of this research. Prior to my PhD, I gained a BA in Biological Sciences from the University of Oxford.
I joined CABI in 2021 as a Data Analyst in the Knowledge and Data Management Team. Since joining CABI, I have transitioned to the Digital Development Team as a Data Policy Analyst.
As a Data Policy Analyst, I am interested in how supporting people and processes can bring transformational change in how data is managed, accessed, shared and reused in the digital development sector. I am interested in how the FAIR (Findable, Accessible, Interoperable and Reusable) data principles can be used as a framework to support this transformation change to, thereby, improve people’s lives through improved evidence-based decision-making and enhanced food security and environmental health.
I work on various Data and Services projects to support donors and in-country partners in the better management and sharing of data.
Over 140 staff are based at CABI’s corporate office in Wallingford, working in Publishing, Sales and Customer Service, IT, Marketing, Finance, Project Development and Digital Development.
Efforts to reach Sustainable Development Goals in food security, nutrition and livelihoods are being hindered by crop loss. Up 40% of crop yields are lost to pests and disease but the data available to prove and show trends is limited. The Global Burden of Crop Loss project will collect, validate, analyse and disseminate data on the extent and causes of crop loss with the aim of gathering sufficient and reliable data that can act as evidence to enable prioritisation of research and policy in plant health, to improve our ability to predict the impact of emerging diseases.
Start: 01/04/19 -End: 31/10/26
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