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Authors: Ayalew Kassahun and Bedir Tekinerdogan

Affiliation: Wageningen University, Netherlands

ISBN: 978-989-758-193-9

Keyword(s): Multi-Organizational Collaboration, Workflow Patterns, Data Flow, Data Allocation Viewpoint.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business and Social Applications ; Collaboration and e-Services ; Data Engineering ; Data Management and Quality ; Databases and Data Security ; e-Business ; Enterprise Information Systems ; Information Integration ; Information Quality ; Integration/Interoperability ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Symbolic Systems ; Transparency in Research Data ; Workflow Management and Databases

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.

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Paper citation in several formats:
Kassahun, A. and Tekinerdogan, B. (2016). Adopting Workflow Patterns for Modelling the Allocation of Data in Multi-Organizational Collaborations.In Proceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-193-9, pages 110-118. DOI: 10.5220/0005975201100118

@conference{data16,
author={Ayalew Kassahun. and Bedir Tekinerdogan.},
title={Adopting Workflow Patterns for Modelling the Allocation of Data in Multi-Organizational Collaborations},
booktitle={Proceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2016},
pages={110-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005975201100118},
isbn={978-989-758-193-9},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Adopting Workflow Patterns for Modelling the Allocation of Data in Multi-Organizational Collaborations
SN - 978-989-758-193-9
AU - Kassahun, A.
AU - Tekinerdogan, B.
PY - 2016
SP - 110
EP - 118
DO - 10.5220/0005975201100118

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