Data literacy and digitalisation are crucial topics in today's research institutions, to tackle global challenges like climate change, the dramatic loss of species and the erosion of democracy. Nevertheless, most research data is not digitalised nor back-uped; reproducible & transparent research is often a dream. In Research Data Management, a lot of guidlines exist to face these difficulties: Data Management Plans, FAIR data, ELSA, etc. It seems like there is a strategy and buzzword for every problem.
But what is missing is a discussion, if these strategies are inclusive (for neurodivergent people). How can we alter them, what is needed for you to apply them?
No matter if you are a researcher, who has to apply all those strategies, a Data Steward teaching them, or just interested in the topic: I would love to discuss with you about your experiences in digitalisation in research institutions & universities and hear about your experiences to raise awareness in the research data community.
About the speaker Sarah Büker: While working as a Data Scientist at the Data Science Center (BMFTR founded Data Nord Project @ University of Bremen) and beeing neurodivergent myself, I have faced a lot of exclusive strategies and would love to change the current situation.