|Title||Adopting Workflow Patterns for Modelling the Allocation of Data in Multi-Organizational Collaborations|
|Author(s)||Kassahun, A.; Tekinerdogan, B.|
|Event||5th International Conference on Data Science, Technology and Applications, Lisbon, 2016-07-24/2016-07-26|
|Publication type||Contribution in proceedings|
|Keyword(s)||Multi-Organizational Collaboration, Workflow Patterns, Data Flow, Data Allocation Viewpoint|
|Abstract||Currently, many organizations need to collaborate to achieve their common objectives. An important aspect hereby is the data required for making decisions at anyone organization may be distributed over the different organizations involved in the collaboration. The data objects and the activities in which they are generated or used are typically represented using business process models. Unfortunately, the existing business process modeling approaches are limited in representing the complex data allocation dimensions that occur in the context of multi-organization collaboration. In this paper we provide a systematic approach that adopts workflow data patterns to explicitly model data allocations in multi-organization collaboration. To this end we propose a design viewpoint that integrates business process models with well-known data allocation problem-solution pairs defined as workflow data patterns. We illustrate the viewpoint using a case study of a collaboration research project.