Stars

Creating a scientific visualisation can be an important step in the research process. It means to explore, analyse and represent research data. As the amount of research data has enormously increased during the last decades, the difficulty to understand research results by direct inspection grows more and more. Therefore, it becomes increasingly necessary to employ elaborated digital visualisation techniques to gain insight into huge and complex data sets.

Scientists use diverse digital tools and Virtual Research Environments (VRE) to explore, analyse, and represent their data: from statistical software (e.g. Mathematica, PAST, R, SAS, SPSS, Statistica, SigmaPlot), special tools to depict multidimensional data (e.g. DC.JS, VTK, IDL) or geographical data in the humanities (GeoBrowser), to digital editions (e.g. TextGrid, Kallimachos), or digital image viewers (digilib) to name a few.

The visualisation of animations, movies, 3D models, and multidimensional research data with web technologies enables the user to interact with scientific content. Examples at the Göttingen Campus are the visualisations within the project “Internet Content Regulation in Liberal Democracies”. In this case data specialists from the GWDG developed together with the scientists concepts of web browser compatible data representation and implemented them (for more details on this project see Schmitt and Wildschütz (2015) in the section “Introductory reading” below).

Further information and links:

Introductory reading