Title
Measuring the Impact of the Once Only Principle for Businesses Across Borders
Author
Timan, T.
van Veenstra, A.F.
Karanikolova, K.
Publication year
2021
Abstract
The Once-Only Principle (OOP) holds that public administrations ide ally collect data from citizens and businesses only once to share this information, within regulatory limits, with other administrative bodies and across Member States. The aim of the OOP is to simplify interaction with public services and contribute to administrative burden reduction. To demonstrate the cross-border application of the OOP for businesses, the Large Scale Pilot European project ‘The Once Only Principle Project (TOOP)’ develops pilots and identifies benefits and challenges as well as (potential) impacts of the adoption of this principle. In this chapter, we explore an Impact Assessment framework for measuring the impact of the OOP on cross-border services for businesses and subsequently val idate this framework with members from the TOOP project. During stakeholder sessions organized for this purpose, we find that the OOP potentially has a high impact on government, e.g. by enabling fraud reduction, yet little is known about the impact of the OOP on businesses, and in particular on its cross-border impact. The expected benefits of the OOP likely emerge on the longer term, making identi fication of short-term impacts challenging. Nonetheless, based on our findings, we recommend to develop and implement methods and tools to measure the impact on the long-term to increase sustainability of the OOP.
Subject
Data sharing
Impact assessment
Impact assessment
Impact frameworks
Once only principle
Environment & Sustainability
Urbanisation
To reference this document use:
http://resolver.tudelft.nl/uuid:98094438-fb54-445b-8003-a34114cd8817
DOI
https://doi.org/10.1007/978-3-030-79851-2_11
TNO identifier
968189
Publisher
Springer Science and Business Media Deutschland GmbH
ISSN
0302-9743
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 208-224
Document type
bookPart