The use of advanced data collection and visualization tools has opened up many opportunities for the best possible use of information in scientific research, management, and decision-making. Interactive data visualizations make it easier to access and interpret large datasets, allowing for new knowledge to be discovered and hypotheses to be formed, leading to a deeper understanding of data. With web technologies and standards, there are now more open-source software libraries available for creating web applications with data. The internet is proven to be very important as it makes data and models more accessible while aiding collaboration among different researchers.
This thesis puts forward a solution to create a web application to help with cyanobacteria research by collecting and displaying data while combining academic software development practices with industry standards. The approach used for this thesis combines design thinking methods with agile methodologies during develop- ment. Open-source software is used exclusively in order to achieve transparency, accessibility, and easy updates in the future.