A Guide to Text and Data Mining at Indiana University Bloomington

Image 1: Graphs from biomedical literature
Kim D, Yu H (2011) Figure Text Extraction in Biomedical Literature. PLoS ONE 6(1): e15338. doi:10.1371/journal.pone.0015338

Text and data mining of academic databases are becoming increasingly popular ways to conduct research. They can allow scholars to make connections not previously discovered, or find solutions more quickly and efficiently. Such research has also gotten some researchers into trouble for alleged copyright and contract violations, when practiced without due diligence into existing legal restrictions.

For IU researchers interested in accessing the Libraries’ digital journals, databases, special collections (specifically, HathiTrust), and other subscription content for the purposes of text or data mining, we’ve put together a quick-and-dirty guide to text and data mining at IUB. Check it out and let us know what you think in the comments.