An essential element of scientific research is reproducibility of results. Modern science renders an increased complexity of measurement and analytical methods, which not necessarily, but often, lead to limited transparency, and selective reporting. Such situation promotes growing numbers of irreproducible data. On the contrary, distributed analyses environments, developed by researchers and set up in a bottom-up approach can forge a shared vision of data handling, reproducibility, and trust. The statistical programming environment R has already paved a way, facilitating developments of data-driven and open-source tools. Luminescence dating techniques are amongst the most important and flexible geochronological tools in Quaternary Science, constituting a cornerstone of the Earth and Archaeological Sciences. By using examples from the field of luminescence (dating), the presentation will shed light on the question “Why researchers develop software?”, and how R and the emerging field of Data Science may lead to better reproducibility of scientific results.
Invited by Christoph Schmidt, Geomorphology, as International Junior Research Fellow of the University of Bayreuth
Eine Pflanzenökologie für unser Erdsystem
The ecology and conservation of a seasonally dry tropical forest in South America
Relating the biogeography of mycorrhizal fungi to host distributions, habitat and community assembly processes in Hawaii
Activate or repress? Transcriptional control of the hypoxia response of Arabidopsis thaliana
The Urgent Need for Anticipatory Capacity to Anthropogenic Climate Change: The Role of Ecological Calendars