Publications by members of GRLC

  • Christen, P., Schnell, R., Vatsalan, D. & Ranbaduge, T. (2017): Efficient Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage. In: Kim, J., Shim, K., Cao, L., Lee, J.-G., Lin, X. & Moon, Y.-S. (eds.): Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia Conference, PAKDD 2017 Jeju, South Korea, May 23–26, 2017 Proceedings, Part I. Cham: Springer: 628–640.
  • Antoni, M.; Schnell, Rainer (2017): The past, present and future of the German Record Linkage Center (GRLC). In: Journal of Economics and Statistics, ahead of print. [PDF]
  • Sakshaug, J., Antoni, M., and Sauckel, R. (2017). The quality and selectivity of linking federal administrative records to respondents and nonrespondents in a general population sample survey of germany. Survey Research Methods, 11(1):63–80.
  • Sakshaug, J. W. and Antoni, M. (2017). Errors in linking survey and administrative data. In Biemer, P. P., Leeuw, E. D. D., Eckman, S., Edwards, B., Kreuter, F., Lyberg, L. E., Tucker, C., and West, B. T., editors, Total Survey Error in Practice, pages 557–573. Wiley, Hoboken.
  • Brown, A. P., Borgs, C., Randall, S. M., and Schnell, R. (2017). Evaluating privacy-preserving record linkage using cryptographic long-term keys and multibit trees on large medical datasets. BMC Medical Informatics and Decision Making, 17(1):83.
  • Antoni, M.; Dummert, Sandra; Trenkle, Simon (2017): PASS-Befragungsdaten verknüpft mit administrativen Daten des IAB (PASS-ADIAB) 1975-2015. (FDZ-Datenreport, 06/2017 (de)), Nürnberg.
  • Brown, A., Borgs, C., Randall, S. & Schnell, R. (2017): High quality linkage using Multibit Trees for privacy-preserving blocking. In: International Journal for Population Data Science 1 (1).
  • Schnell, R. & Borgs, C. (2017): Secure Privacy Preserving Record Linkage of Large Databases by Modified Bloom Filter Encodings. In: International Journal for Population Data Science 1 (1).
  • Schnell, R. , Richter, A. & Borgs, C. (2017): A Comparison of Statistical Linkage Keys with Bloom Filter-based Encryptions for Privacy-preserving Record Linkage Using Real-world Mammography Data. In: Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) – Volume 5: HEALTHINF, SCITEPRESS: 276–283.
  • Stausberg, J., Waldenburger, A., Borgs, C. & Schnell, R. (2017): Combining Different Privacy-Preserving Record Linkage Methods for Hospital Admission Data. In: Studies in Health Technology and Informatics 235:161-165.
  • Kroll, M. & Schnell, R. (2016): Anonymisation of Geographical Distance Matrices via Lipschitz Embedding; in: International Journal of Health Geographics 15 (1) 1-14.
  • Schnell, R. (2016): Record Linkage; in: Wolf, C., Joye, D., Smith, T. W. and Fu Y. C. (Eds.): The SAGE Handbook of Survey Methodology, London: SAGE, pp. 662-669.
  • Schnell, R. (2016): Privacy-preserving Record Linkage; in: Harron, K., Goldstein, H. and Dibben, C. (Eds.): Methodological Developments in Data Linkage, Chichester: Wiley, pp. 201-225.
  • Schnell, R., Borgs, C. (2016): Randomized Response and Balanced Bloom Filters for Privacy Preserving Record Linkage; in: Proceedings of the 2016 IEEE 16th International Conference on Data Mining Workshops, pp. 218-224.
  • Schnell, R., Borgs, C. (2015): Building a National Perinatal Database Without the Use of Unique Personal Identifiers; in: Proceedings of the 2015 IEEE 15th International Conference on Data Mining Workshops, pp. 232–239.
  • Schnell, R. (2015): Linking Surveys and Administrative Data; in: Engel, U., Jann, B., Lynn, P., Scherpenzeel, A., and Sturgis P. (ed.): Improving Surveys Methods: Lessons from Recent Research, New York: Routledge, Taylor & Francis Group, pp. 273-287.
  • Schnell, R. (2015): Combining Surveys with Non-Questionnaire Data: Overview and Introduction; in: Engel, U., Jann, B., Lynn, P., Scherpenzeel, A. & Sturgis, P. (ed.): Improving Surveys Methods: Lessons from Recent Research, Routledge, Taylor & Francis Group, pp. 269-272.
  • Sehili, Z., Kolb, L., Borgs, C., Schnell, R., Rahm, E. (2015): Privacy Preserving Record Linkage with PPJoin; in: Proceedings 16. GI-Konferenz für Datenbanksysteme in Business, Technologie und Web (BTW), LNI, pp. 85-104.
  • Schnell, Rainer; Borgs, Christian; Heller, Günther; Niedermeyer, Frank Pseudonymisierte Verknüpfung der Perinatal- und Neonatalerhebung mit Bloom-Filtern (2015)
  • Schnell, R. (2014). An efficient privacy-preserving record linkage technique for administrative data and censuses. In: Statistical Journal of the IAOS : journal of the International Association for Official Statistics Jg. 30 (2014) Nr. 3, S. 263 – 270.
  • Niedermeyer, F., Steinmetzer, S., Kroll, M., and Schnell, R. (2014). Cryptanalysis of basic Bloom filters used for Privacy Preserving Record Linkage. Journal of Privacy and Confidentiality 6 (2) 59–79.
  • Schnell, R. (2014): Getting Big Data but preventing Big Brother : Entwicklung neuer technischer Lösungen für die datenschutzgerechte Zusammenführung personenbezogener Daten. In: UNIKATE: Berichte aus Forschung und Lehre Jg. 45 (2014) S. 50 – 57.
  • Schild, C.-J.; Antoni, M. (2014): Linking survey data with administrative social security data – the project “Interactions between capabilities in work and private life”. (German Record-Linkage Center. Working paper series, 2014-02), Nürnberg.
  • Antoni, M. and Bethmann, A. (2014). PASS-Befragungsdaten verknüpft mit administrativen Daten des IAB : (PASS-ADIAB) 1975-2011. FDZ-Datenreport 03/2014.
  • Schnell, R. (2013): Efficient private record linkage of very large datasets. Proceedings of the 59th ISI World Statistics Congress, 25-30 August 2013, Hong Kong, pp. 1862 – 1867.
  • Antoni, M.(2013): Essays on the measurement and analysis of educational and skill inequalities. Universität Erlangen, Nürnberg (Hrsg.), Nürnberg.
  • Schnell,R. (2013): Privacy-Preserving Record Linkage and Privacy-Preserving Blocking for Large Files with Cryptographic Keys using Multibit Trees; in: American Statistical Association. Survey Research Methods Section (ed.): Proceedings of the American Statistical Association. Alexandria, VA: American Statistical Association, pp. 187-194.
  • Antoni, M.; Seth, Stefan (2012): ALWA-ADIAB – Linked individual survey and administrative data for substantive and methodological research. In: Schmollers Jahrbuch, Jg. 132, H. 1, S. 141-146.
  • Bachteler T, Schnell R, Reiher J 2011. An Empirical Comparison of Approaches to Approximate String Matching in Private Record Linkage; in: Proceedings of Statistics Canada Symposium 2010. Social Statistics: The Interplay among Censuses, Surveys and Administrative Data. Ottawa: Statistics Canada,  pp. 290-295.
  • Schnell R, Bachteler T, Reiher J 2011. Private Record Linkage with Bloom Filters; in: Proceedings of Statistics Canada Symposium 2010. Social Statistics: The Interplay among Censuses, Surveys and Administrative Data. Ottawa: Statistics Canada,  pp. 304-309.
  • Schnell R 2010. Record Linkage from a Technical Point of View; in: German Data Forum (RatSWD) (ed.):Building on progress: Expanding the research infrastructure for the social, economic, and behavioral sciences (Vol. 1), Opladen: Budrich UniPress, pp. 531-545.
  • Schnell R, Bachteler T, Reiher J  2010. Improving the Use of Self-generated Identification Codes; in: Evaluation Review 34 (5) 391-418.
  • Schnell R, Bachteler T, Reiher J 2009. Entwicklung einer neuen fehlertoleranten Methode bei der Verknüpfung von personenbezogenen Datenbanken unter Gewährleistung des Datenschutzes; in: Methoden – Daten – Analysen 3 (2) 203-217.
  • Schnell R, Bachteler T, Reiher J 2009. Privacy-preserving record linkage using Bloom filters; in: BMC Medical Informatics and Decision Making 9 (41).
  • Schnell R, Bachteler T 2006. Der Bedarf nach einer Treuhänderlösung für die Verknüpfung von Mikrodaten in der Bundesrepublik, discussion paper, Centre for Quantitative Methods and Survey Research, University of Konstanz.
  • Schnell R, Bachteler T 2006. Ein Performanz-Vergleich zwischen der Kölner und der von Reth-Schek Phonetik, discussion paper, Centre for Quantitative Methods and Survey Research, University of Konstanz.
  • Schnell R, Bachteler T, Bender S 2003. Record Linkage Using Error-prone Strings; in: Proceedings of the Section on Survey Research Methods, American Statistical Association, pp. 3713-3717.