Reproducibility Bootcamp - online
|The University of Manchester|
Dr Julia Kasmire
26/04/2022 - 24/05/2022
View in Google Maps (M169PL)
Claire Spencer, email@example.com
Ideally, research is collaborative, well-documented, sharable, and can be reproduced by others (or by the original researchers at a later point in time). Not only does this make a researcher’s job MUCH easier, it makes their work more valuable, citable and extensible. This is increasingly important in light of the ‘crisis of reproducibility’ that risks undermining scientific research in so many fields.
This training series walks you through how to:
This course, provided by the UK Data Service, assumes no prior knowledge or experience but is not a comprehensive training course covering every possible application for the topics included. Rather it has been designed to be an intensive experience which will help you develop a deep awareness of why reproducibility matters, how to build it into every aspect of a research programme, and how to be confident that others can reproduce your work through the materials and information that you share.
Participants will be asked to do a small amount of work between instruction days (e.g. read articles, watch videos, run code, create and edit github repos, etc.) and so some free and open source software installation may be required. The full list of what software is required will be provided prior to the start of the bootcamp. The course is charged at a full 5 day rate.
Entry (no or almost no prior knowledge)
The fee per teaching day is: • £30 per day for students • £60 per day for staff working for academic institutions, Research Councils and other recognised research institutions, registered charity organisations and the public sector • £100 per day for all other participants If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of the cancellation of a course. The University of Southampton’s Online Store T&Cs also continue to apply.
Website and registration
Data Management , Quality in Quantitative Research
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