Tanja Auge

I am a PostDoc at the chair for Data Engineering at the University of Regensburg. Since October 2022 I am focusing on reconstructability/reproducibility and plausibility in the field of data engineering. For this, I am cooperating with researches from different fields at the University of Regensburg as well as international colleges from the US, Germany or Austria.

My main research interests include i) provenance, in particular data provenance, ii) research data management, iii) schema evolution and data updates. Details about my actual projects can be found here.

Before joining University of Regensburg, I was a PhD student at the University of Rostock advised by Andraes Heuer at the Data Research Group. My PhD thesis is available here. Prior to that, I studied Computer Science (M.Sc.) and Mathematics (M.Sc. and B.Sc.) at the University of Hamburg and the University of Rostock.

In my PhD thesis I combined the Chase — a family of algorithms for database transformation — with data provenance and additional annotations to compute an anonymized (minimal) sub-database of an original (research) database for a given evaluation query. To ensure the reproducibility, replicability or plausibility of a query result, the evaluations performed on the original database must also be feasible on the reconstructed sub-database. For this purpose I used a version of Chase&Backchase, an extension of Chase.