Veranstaltungen

Data publications an addition to the common scientific publications. High level data from observations and experiments may not always add to your primary research question, but they can still push your research career and do not need to be a loss or waste of time. Data publications can be very similar to other publications, but you need to make your data available for review and reuse. The presentation will show examples on how data publications are structured and done.

While research data management is often associated with STEM fields, Humanities research is increasingly digital: Even the fundamental practices of reading and writing are mostly conducted in digital environments. We generate vast amounts of data that require - or could benefit from - careful management to ensure their long-term value and impact. Yet, many Humanities scholars are unaware of the importance of research data management or just don't know where to start with implementing effective data management practices. But it's easier than you might think! By keeping a well tended "data garden", Humanities scholars too can ensure long-term preservation, accessibility, and reuse of their data, enriching their research and contributing to a more sustainable scholarly community.

National Research Data Infrastructure for Microscopy and BioImage Analysis (NFDI4BIOIMAGE) is working towards better bioimage data management. For this, our consortium is tackling technical obstacles at different bioimage lifecycle stages, such as file formats, image analysis, and platforms for data management but also educates researchers on how to use the available tools and how to annotate and publish the data. I would like to present the work of our consortium and make aware of the importance of bioimage data management and share our services to a broader audience.

Effective data management is not solely to satisfy the requirements of funders and publishers; it can also significantly benefit a research group during the data production phase when used appropriately. In this talk, I will demonstrate how image data management with OMERO can accelerate research and foster collaboration among various members of a lab, including experimentalists, image analysts, and the principal investigator.

Quantitative Sozialwissenschaften nutzen traditionell insbesondere Umfragedaten als Basis für die Forschung. Seit einigen Jahren kommen aus verschiedenen Quellen und insbesondere aus Online-Plattformen, Digitale Verhaltensdaten hinzu. Der Vortrag gibt einen Einblick in das Forschungsdatenmanagement und die Archivierung sozialwissenschaftlicher Forschungsdaten und zeigt auf, vor welchen Herausforderung das Feld angesichts einer Vielfalt neuartiger Datentypen steht.