George Ölund  KI Biobank, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77 Stockholm, Sweden (george.olundki.se). Mr. Ölund is a senior software engineer and lead developer of the BIMS solution. He received an M.S. degree in biomedicine from Karolinska Institutet in 1999 and an M.S. degree in computer science from the Royal Institute of Technology in 2005. He has many years of software development experience as well as background in medical research.

Pontus Lindqvist  KI Biobank, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77 Stockholm, Sweden (pontus.lindqvistki.se). Mr. Lindqvist is IT Manager at Karolinska Institutet Biobank and the project manager for the BIMS project. He has a Master's degree in medical science from Karolinska Institutet and a Master's degree in computer science from the Royal Institute of Technology in Stockholm. With approximately 10 years of experience in biomedical research and software engineering, he currently leads the IT team at Karolinska Institutet Biobank. He is also involved in the nationwide integration of biobanks in Sweden and in many other international collaborative projects.

Jan-Eric Litton  KI Biobank, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77 Stockholm, Sweden (jan-eric.littonki.se). Dr. Litton, a Professor of Biomedical Computing Technology since 2002, is Director of Informatics, Karolinska Institutet Biobank, and head of IT and Computing, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. He received a Ph.D. degree in medical science in 1983 from the Karolinska Institutet. He leads an infrastructure group in the EU Coordination Action, whose purpose is to make best use of population-based biobanks. Dr. Litton is also a member of the steering group in the P³G project and co-directory and responsible for the Swedish LifeGene initiative, a prospective cohort-based biobank. Dr. Litton also heads the development of e-epidemiology by using the Internet, cellular telephones, digital paper, and digital TV for collecting epidemiology data.