How do you bring together #OpenScience trainers from #Africa, #Asia and #Europe? Some reflections from the EIFL online train-the-trainer bootcamp with @jonatortue @lessormore @njezire Ljiljana Radisavljević & Obrad Vučkovac https://eifl.net/blogs/open-science-train-trainer-tips #EIFL_OSbootcamp
Open science train-the-trainer tips | EIFL

EIFL bootcamp instructors Jonathan England, Iryna Kuchma, Irena Nježić, Ljiljana Radisavljević, Milica Ševkušić and Obrad Vučkovac share their reflections on the course, and lessons learnt. Enhancing open science and open research skills by organizing train-the-trainer activities, creating training materials, and advocating for research incentives and structures that support

🎉 Thank you everyone who contributed, it was a wonderful week & empowering as Gloria said @ EIFL #OpenScience train-the-trainer bootcamp with @lessormore @njezire Jonathan England, Ljiljana Radisavljević, Obrad Vučkovac #EIFL_OSbootcamp
#EIFL_OSbootcamp @njezire shows 3 sample DMPs from different disciplines developed for training purposes with discussion questions
Coffey, Aoife Marie. (2021, October 28). Sample Data Management Plans for training purpose. Zenodo. https://doi.org/10.5281/zenodo.5608377 https://zenodo.org/record/5608377#.Y9o73HZBy5f
Sample Data Management Plans for training purpose.

  A collection of 3 sample DMPs developed for training purposes. The sample DMPs are based on real projects but the content, settings and topic have been modified and anonymised. The 3 DMPs are from different disciplines, DMP 1 is in medicine and health setting, DMP 2 is from natural sciences, and DMP 3 is a cultural heritage project. Each DMP uses the Science Europe Practical Guide to the International Alignment of Research Data Management format. The DMP are formatted to  represent the length and content of a DMP which could potentially be submitted at the funding application stage.  There are deliberate gaps and omissions from each DMP to facilitate and prompt discussion.  The DMPs were provided to workshop participants as pre-reads in advance of a workshop. Each participant was asked to choose one sample DMP. During the workshop participants joined the breakout session associated with their chosen DMP. Participants were then posed these questions; Will the data described in this DMP meet the criteria outlined in the FAIR principles?  What improvements could be suggested to the researcher? Are there international, national, or local regulations, policies or guidelines which should be taken into consideration?

Zenodo
FAIR data training tips from
Obrad Vučkovac #EIFL_OSbootcamp
I also like this visual: managed data - internal, self-interest; FAIR & #OpenData - external, community benefit -
Obrad Vučkovac reuses the visual of Sarah Jones #EIFL_OSbootcamp
Nice explanation of why we need FAIR data - Obrad Vučkovac https://openaire.eu/how-to-make-your-data-fair #EIFL_OSbootcamp
How to make your data FAIR

European Open Science Infrastructure, for open scholarly communication

OpenAIRE
Research Data Management training tips from Obrad Vučkovac #EIFL_OSbootcamp
#EIFL_OSbootcamp Obrad Vučkovac talks about https://amnesia.openaire.eu
data anonymization tool & https://openrefine.org for data cleaning, validation & quality checking - free tools
Amnesia Anonymization Tool - Data anonymization made easy

Metadata and documentation! - Research Data Management tips from Obrad Vučkovac #EIFL_OSbootcamp
Tips on collecting/generating data from Obrad Vučkovac #EIFL_OSbootcamp