BioNT 4th Workshop - Awareness in Data Management and Analysis for Industry and Research
Julia Fürst, Justine Vandendorpe, Rabea Müller, Till Sauerwein
This hands-on workshop will introduce you to data management processes and activities in academia and industry. You will learn how to make your data reusable, your analyses reproducible and your processes transparent. Good data management prevents data loss and saves time, money and resources. For researchers, it also increases visibility and reputation (by ensuring the quality of research), ensures data ownership (i.e. possession and responsibility for data), and makes them eligible for funding. Good data management also helps to meet formal and legal requirements, improves teamwork and collaboration, and ensures transparency, verifiability and reproducibility.
Here we offer a two-day workshop with the primary aim of introducing participants to good enough practices for managing their data. On the first day, participants will learn about the basics of data management, good research practices, Common European Data Spaces, data management and governance in industry and data management plans. On the second day, participants will learn how to organise their data, how to make it FAIR, about electronic lab notebooks and how to make their computational results reproducible.