Abstract
ABSTRACT Research-integrating teaching offers a collective approach to engage students and researchers in real research questions, introducing them to authentic problem-solving strategies. In experimental research-integrating teaching, various different data are acquired and often analyzed by using specialized software programs. However, learning to operate these programs can sometimes divert attention from the research itself. To keep the focus on the research, we have developed a Python-based dashboard (PYDA) and implemented it successfully in a research-integrating course on intrinsically disordered proteins. PYDA simplifies data analysis by handling experimental data from techniques such as liquid chromatography, far-ultraviolet circular dichroism, and fluorescence spectroscopy in a unified way. Developed in Python by using the Plotly Dash framework and hosted on Heroku, PYDA allows students to visualize, convert, and analyze data without extensive prior knowledge of Python. By providing a streamlined, flexible, and customizable solution, PYDA enables students to focus on research and hypothesis development, fostering digitally competent and inquiry-driven problem solvers. PYDA is supplied with a set of example files that allows the user to test the program. These files can be accessed as the last item in the dropdown menu.
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