 Another option for providing anonymity is the anonymization of data through special software. Tools exist that remove patient names and reduce age information to intervals: the age 35 is then represented as falling in the range 30–40. The idea behind such anonymization software is that a record can no longer be linked to an individual, while the relevant parts of the data can still be used for scientific or other purposes. The problem here is that it is very hard to anonymize data in such a way that all links with an individual are removed and the resulting anonymized data is still useful for research purposes. Researchers have shown that it is almost always possible to reconstruct links with individuals by using sophisticated statistical methods (Danezis, Diaz, &amp; Troncoso 2007) and by combining multiple databases (Anderson 2008) that contain personal information. Techniques such as k-anonymity might also help to generalize the data enough to make it unfeasible to de-anonymize data (LeFevre et al. 2005).