The Open Knowledge Foundation is delighted to announce the launch of the new Panton Fellowships!

CCIA

Funded this year by The Computer & Communications Industry Association, Panton Fellowships will be awarded to scientists who actively promote open data in science, as per the Panton Principles for Open Data in Science.

Visit the Panton Fellowships home page for more information including details of how to apply.

Further Details


We firmly believe that “open data means better science”. The Panton Fellowships have been created in order to support scientists – particularly graduate students and early-stage career scientists – to explore this idea, and to tackle those barriers which currently prevent science data from being made open.

Dr Cameron Neylon, Advocacy Director at PLOS, and one of the Panton Fellowships Advisory Board, commented on the ‘real potential’ of the Fellowships to influence practice surrounding open data in the scientific community:

‘Panton Fellowships will allow those who are still deeply involved in research to think closely about the policy and technical issues surrounding open data.’

By allowing scientists the scope both to explore the ‘big picture’ – gathering evidence to promote discussion throughout the community – and also to work on specific technical solutions to individual problems, the Panton Fellowship scheme has the potential to make a real impact upon the practice of open data in science.

Panton Fellows will have the freedom to undertake a range of activities, and prospective applicants are encouraged to formulate their own work plan. As Fellows will continue to be employed and/or study at their current institution, activities undertaken for the Panton Fellowship should ideally complement and enhance their existing work.

Fellowships will be held for one year, and will have a value of £8k p.a. For more details and information on how to apply, please visit http://pantonprinciples.org/panton-fellowships/. Read about the work of our previous Panton Fellows; Sophie Kershaw here (PDF), and Ross Mounce here.

 

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Ross is a postdoc at the University of Bath, using content mining techniques to extract and re-use data from the academic literature. He is also a former Panton Fellow, trying to encourage data sharing / Open Data ethos in his research community. Making baby steps… e.g. in palaeontology