About twenty years ago, I tried to commercially develop database applications for the social sciences and humanities. At that time, very, but very few researchers in those fields were interested. Times have changed.
However, most researchers do not use nor even understand the use of relational databases. I still feel that is a big loss for these fields. So, I have started writing some stuff down to bring some light, particularly to the historical disciplines. It is rather fragmented, but perhaps that will change in the near future.
After having worked in academic research for 15 years, I started working as a ‘research engineer’ at the department of Economic History at Lund University. About half of my time, I spend developing a relational database that contains data about Swedish innovations. You can find a short overview of the features of this database here, and the project website here.
Choice of software depends on data structure
Many researchers take the tools of their trade as a natural choice. However, there is nothing natural about even the simplest text editor. It’s also not that long ago that the average historian saw the point of using a computer. One of the arguments that should inform the choice of software comes from the data and the structure of the data that is necessary to answer a research question. On this page, I am presenting some examples and explain what I think should be the choice of software for each of them.
Your data hub
You’re likely to just start making your data with whatever software seems ‘natural’ to you. However, hold on for a moment, and consider the near future of your research project. Your table, notebook, network graph, or what have you, may quickly turn into a data hub. Continue reading here