How to make your data Open and FAIR

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Abstract

EOSC-hub Magazine Issue 2 // Page 10How to make your data Open and FAIR?Ilona von Stein writes about the importance of Data Management TrainingWhat would happen if your data is not trusted by your own research community?What if your research community generates 2 petabyte of raw data per day, and needs to share it between institutions?What if reuse of your data takes place in computational workflows, but data archives do not provide formats and annotations to support this?And what if you cannot find your own data later in your career?
Original languageEnglish
Pages (from-to)10
Number of pages1
JournalEOSC-hub Magazine
Volume2018
Issue number2
Publication statusPublished - 09 Oct 2018

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