Managing your Publication Workflow and your Open Data

The course is offered by the Plant Science Center and includes 2 face-to-face workshop days and one day for homework. PhD students will learn specifically to deal with the whole publication process and to establish a publication workflow: How to manage your open data from the very beginning of a research project, how to plan an open access strategy from choosing journals strategically, to submission, to publication. This includes also guidelines for open data, data sharing agreements and data plans, as well as rich data publications and post-publishing marketing strategies. 

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Dauer 2 days
Individual Performance and Assessment: In order to obtain the ECTS point, each participant is required to actively participate in the case-study work, discussions, and presentations during the course days. In addition and as part of the homework of day 2, participants are expected to:
Draft a Data Management Plan for their projects (to be accomplished on Day 2)
Find and explore three open-access journals appropriate for publishing their research. They choose journals not included in their list of six target journals 
(to be accomplished on Day 2).
Analyse six journals appropriate for publishing their research. Participants study the journal websites and various online resources. They bring detailed information to the workshop about: (1) open access options, (2) publication fees (or article processing charges), (3) copyright policies: which rights remain with the authors? (4) speed (decision times, publication times), (5) rejection rates, and others 
(to be accomplished on Day 2).
Lecturer:  Dr. Philipp Mayer (science-textflow.ch), André Hoffman, M.A. (Open Access, Hauptbibliothek, UZH), Stefanie Strebel, Data Services & Open Access, University of Zurich, Dr. Melanie Paschke (Zurich-Basel Plant Science Center)

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