Data Literacy in NFDI. Capturing Status Quo and Requirements of Data Literacy Education.

A fundamental challenge for scientists is the correct handling of rapidly growing amounts of data. According to Ridsdale and colleagues [1], the ability to collect, manage, evaluate, and apply data in an adaptive and critical way can be described as data literacy. Thus, the fostering of data literacy is becoming a critical success factor for scientists - and also for the development of a National Research Data Infrastructure.

The offers and demands of data literacy trainings for scientists are very diverse and sometimes confusing. The project Data Literacy in NFDI, which is funded for two years by the Federal Ministry of Education and Research (BMBF), is affiliated with the office of the National Research Data Infrastructure Association. It aims to support the comprehensive and lasting development of data literacy for scientists through the targeted collaboration with various agents. By means of online surveys, expert interviews and workshops, a target group analysis is conducted and a structured comparison of existing and needed data literacy educational resources is created. On this basis, concepts will be developed to promote data literacy in a needs-based manner. Data literacy and the knowledge of it is a precondition for good research data management and the creation of FAIR data.

The poster shows the first results collected during the project to October 2023.

[1] C. Ridsdale, J. Rothwell, M. Smit, H. Ali-Hassan, M. Bliemel, D. Irvine et al.: Strategies and Best Practices for Data Literacy Education: Knowledge Synthesis Report. 2015, doi:10.13140/RG.2.1.1922.5044