Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 507264
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
DOI http://dx.doi.org/10.5220/0005975201100118
Department(s) Information Technology
WASS
Publication type Contribution in proceedings
Publication year 2016
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.
ISBN: 978-989-758-193-9
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