NUSOD Blog

Connecting Theory and Practice in Optoelectronics

NUSOD 2017 Preview Rump Session: Words cannot express…! Research results are more than just plain text.

Whenever you try to answer a research question by using numerical simulation, you start by developing a (or reusing an already developed) mathematical model. Thereafter, you are developing (or reusing already developed) software to perform your numerical simulation. This produces data that you are now analysing and visualising to interpret the discovered results. Finally, you might want to write it all down in an article and publish it on the arXiv and/or in a scientific journal. In this published form the results consist – apart from a couple of figures or tables – mainly of text. DataNotShownIn most cases mathematical models, software, data, visualisations and so on are not or not fully shown. This makes it difficult for editors, reviewers and readers alike to fully grasp the research and its results, see e.g. How to get your simulation paper accepted. Moreover, it makes it difficult to validate and in many cases impossible to reproduce the results.

In a time when scholarly publication was limited to printed journals and books it was simply not feasible to provide long rows of numbers not to mention interactive 3D figures or a moving series of pictures. However, with the advent of the digital age and its easy accessible and easy to use infrastructures and tools there is no excuse for not publishing the full research story – and that does not only consist of plain text.

If you think of research as a sequential process consisting of model-software-data-visualisation, as we suggested in the beginning, we will focus in the rump-session (Thursday at NUSOD 2017) primarily on the two ends of the process, namely mathematical models and data visualisations. Thomas will present a concept for a machine-actionable as well as human-understandable representation of the mathematical knowledge contained in mathematical models, see [1], [2]. Afterwards, Bastian will present how publications maybe enhanced by data visualisations and how this may improve both understandability and visibility of scholarly publications, see [3].

Jointly written with Bastian Drees, Technische Informationsbibliothek (TIB).

  1. Kohlhase M., Koprucki T., Müller D., Tabelow K. Mathematical Models as Research Data via Flexiformal Theory Graphs. In: Intelligent Computer Mathematics. CICM 2017. Lecture Notes in Artificial Intelligence, vol. 10383, pp. 224-238. Springer (2017). DOI: 10.1007/978-3-319-62075-6_16
  2. Koprucki, T., Tabelow, K.: Mathematical models: a research data category?  In: Mathematical Software – ICMS 2016. Lecture Notes in Computer Science, vol. 9725, pp. 423–428. Springer, (2016). DOI:10.1007/978-3-319-42432-3_53
  3. B. Drees, Make the most of your audio-visual simulation data. 2nd Leibniz MMS Days, Technische Informationsbibliothek (TIB), (2017). [Video] DOI 10.5446/21907
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