is typical in research and development. These description levels are generally outside of the needs of model-based workflow automation.
Conclusion Significant effort is required to satisfy the needs of user interaction
and automated process documentation using BPMS in the life sci- ences. Generic LIMS offer improvements in combination with BPMS. An adequate canonical data type system and the corresponding service-oriented interaction components to manage and use process parameters in an open process description hierarchy form the core of LIMS requirements for a successful BPM approach to communication.
Part 2 of this article will clarify this concept using an application ex- ample. The support of a LIMS that is closely connected with the workflow automation, and the potential of the BPM-based approach for quality assurance, will be highlighted.
References 1. OMG: Business Process Model and Notation (BPMN) Version 2.0;
www.omg.org/spec/BPMN/2.0; 2011.
2. Allweyer, T. BPMN 2.0. Introduction to the Standard for Business Pro- cess Modeling; Books on Demand: Norderstedt, 2010.
3. Silver, B. BPMN Method and Style; Cody-Cassidy Press: Aptos, CA, 2009.
4. Clark, W. LIMS product round-up. A look at the latest innovations in LIMS. Laboratory Informatics Guide 2012, 10–14.
5. Thurow, K.; Göde, B. et al. Laboratory information management sys- tems for life science applications. Organic Process Research & Devel- opment: an international journal published jointly by the American Chemical Society and the Royal Society of Chemistry, 2004, 8, 970–82.
6. Göde, B.; Holzmüller-Laue, S. et al. Flexible IT-plattform zur automa- tisierten HTS-wirkstoffanalyse. GIT Laborfachzeitschrift 2007, 5, 741–4.
7. Holzmüller-Laue, S. et al. A highly scalable information system as extendable framework solution for medical R&D projects. In: Adlassnig, K.-P., Ed.; Medical Informatics in a United and Healthy Europe. Proceedings of MIE 2009, XXIInd International Congress of the European Federation for Medical Informatics; IOS Press: Amsterdam, 2009, 101–5.
Silke Holzmüller-Laue, Ph.D., is Senior Researcher, and Kerstin Thurow, Ph.D., is CEO, Center for Life Science Automation at the University of Ros- tock, F.-Barnewitz-Str. 8, 18119 Rostock, Germany; tel.: +49 381 4987721; fax: +49 381 4987702; e-mail:
silke.holzmueller-laue@celisca.de. Bernd Göde, Ph.D., is Group Leader, Institute of Automation, University of Ros- tock, Germany.
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