Building digital workforce capacity and skills for data-intensive science

This report looks at the human resource requirements for data intensive science. The main focus is on research conducted in the public sector and the related challenges and training needs. Digitalisation is, to some extent, being driven by science and at the same time it is affecting all aspects of scientific practice. Open Science, including access to data, is being widely promoted and there is increasing investment in cyber-infrastructures and digital platforms but the skills that are required by researchers and research support professionals to fully exploit these tools are not being given ... Show more

Corporate authors: Organisation for Economic Co-operation and Development. Global Science Forum. Expert Group on Digital Skills for Data-Intensive Science

Published: Paris, France, OECD, 2020

Resource type: Report, paper or authored book

Physical description: 63 p.

Access item: https://www.oecd-ilibrary.org/science-and-technology/building-digital-workforce-capacity-and-skills-for-data-intensive-science_e08aa3bb-en

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