The current version of the KB’s digital repository system (e-Depot) doesn’t include any tools for automated file format identification yet. Our previous DIAS system didn’t have identification functionality either. As a result, information on file formats in digital our collections is largely based on publisher metadata and file extensions. Neither are necessarily correct. Moreover, previous analyses revealed a number of prevalent file extensions that could not be easily linked to a specific format. One result of this situation was that we couldn’t even reliably tell to what extent patrons were able to view e-Depot content on the PCs in our reading rooms (the obviously common formats aside).
To get a better view of the formats in our collection, we did an analysis of the “top 50” most prevalent file extensions in our e-Depot: what are the corresponding formats, can these formats be automatically identified, and can we render them in our reading rooms? This blog post summarises the main findings of this work.

