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Have you thought about how Open Research (OR) principles can improve the quality and impact of your work? The relaunched PET ECRF have teamed up with the Library torun a catered workshop for all students and early career researchers with examples from successful ongoing projects. Find out how to use OR to deliver effective proposals, projects and publications!
We’ll be welcoming you on Tuesday 30th May from 10 am - 12 noon in the Physics building, P/L/002. Come and listen to senior academics, experienced Library staff and fellow ECRs. A light networking lunch will be availablefrom ~12 pm nearby in James College (G/N/020). Come along even if you can't make the full morning!
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We are looking forward to welcoming you!
Alex Payne-Dwyer, Chris Arran and Ben Catt,
PET ECRF Committee (pet-ecrf-comm-group@york.ac.uk)
The ECRF represents you and all ECRs within the School of PET. We welcome a diverse range of ECR perspectives and are looking to recruit new members!
Programme
Here is the provisional agenda for this event:
9.50-10.10: WelcomeCoffee with Early Career Researchers' Forum. Alex Payne-Dwyer (ECRF Chair)
10.10-10.30: What is Open Research?
Ben Catt (Library, Archives and Learning Services): Benefits, lifecycle, and communities of practice - slides
10.30-11.15: Opportunities, benefits and challenges of Open-source Research
Prof. Helena Daffern (Communications, PET and Music): Transparent processes and pathways to impact; ethical implications, data management and potential conflicting priorities for industry partners.
Emma Barnes (ReDSI / IT): How to design, cost and write proposals for studies that have open access data or open-source software as key outputs. Have you thought about working with software engineers, statisticians or archivists on your next project?
11.15-12.00: Publications and Open Access
Jon Cook (Library, Archives and Learning Services): How to publish your work Open Access (OA) free of charge and in accordance with your funder and institutional requirements.
Dr Alex Payne-Dwyer (Physics of Life, PET): How to present images and image analysis - including machine learning - in high-impact publications, for clear and reproducible science.
12.00-12.45: Networking light lunch (James College, G/N/020)