  Good research data management is essential in modern-day lab work. Various
solutions exist that are either highly specific or need a significant effort to
be customized appropriately. This paper presents an integrated solution for
individuals and small groups of researchers in data-driven deductive research.
Our electronic lab book generates itself out of notes and files, which are
generated by one or several experiments. The generated electronic lab book is
then presented on a Django-based website. The automated gathering of metadata
significantly reduces the documentation effort for the lab worker and prevents
human error in the repetitive task of manually entering basic meta-data. The
skilled user can quickly adapt the electronic lab book software to his needs
because the software employs widely used open-source software libraries with
active communities and excellent documentation.
