Abstract
The evaluation of project results is a crucial part of most research projects in the information-technology domain. In particular, this applies to projects that develop solutions for the public sector and test them by means of pilot applications. In these projects, involved stakeholders require meaningful evaluation results to derive lessons learned and to steer future research activities in the right directions. Today, most projects define and apply their own evaluation schemes. This yields evaluation results that are difficult to compare between projects. Sometimes, inconsistent evaluation schemes are even applied within a project. In these cases, even evaluation results of a single project lack comparability. In absence of coherent evaluation schemes, lessons learned from conducted evaluation processes cannot be aggregated to a coherent holistic picture and the overall gain of research projects remains limited. To address this issue, we propose and introduce an evaluation scheme for arbitrary pilot-based research projects targeting the public sector. The proposed scheme follows a hierarchical approach. Concretely, it organizes evaluation criteria on different layers of abstraction. Furthermore, the proposed scheme describes in detail necessary process steps to carry out evaluations using the defined criteria. This way, the proposed scheme enables in-depth evaluations of research projects and their pilot applications. At the same time, it assures that obtained evaluation results remain comparable anytime. The hierarchical evaluation scheme introduced in this article has been successfully applied to the international research project FutureTrust, demonstrating its practical applicability, and showing its potential also for future research projects.
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Acknowledgments
This work has been supported by the FutureTrust project (N.700542) funded under the programme H2020-EU.3.7. - Secure societies - Protecting freedom and security of Europe and its citizens (2013/743/EU of 2013-12-03).
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Zefferer, T. (2019). Evaluation in Pilot-Based Research Projects: A Hierarchical Approach. In: Escalona, M., Domínguez Mayo, F., Majchrzak, T., Monfort, V. (eds) Web Information Systems and Technologies. WEBIST 2018. Lecture Notes in Business Information Processing, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-030-35330-8_7
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