The Once-Only Principle
The TOOP Project
Contributor(s)
Krimmer, Robert (editor)
Prentza, Andriana (editor)
Mamrot, Szymon (editor)
Language
EnglishAbstract
This open access State-of-the-Art Survey describes and documents the developments and results of the Once-Only Principle Project (TOOP). The Once-Only Principle (OOP) is part of the seven underlying principles of the eGovernment Action Plan 2016-2020. It aims to make the government more effective and to reduce administrative burdens by asking citizens and companies to provide certain standard information to the public authorities only once. The project was horizontal and policy-driven with the aim of showing that the implementation of OOP in a cross-border and cross-sector setting is feasible. The book summarizes the results of the project from policy, organizational, architectural, and technical points of view.
Keywords
Computer Applications; Special Purpose and Application-Based Systems; Programming Techniques; Software Engineering/Programming and Operating Systems; Computer Application in Administrative Data Processing; Computer and Information Systems Applications; Software Engineering; access control; communication systems; computer systems; cryptography; databases; Field Programmable Gate Array (FPGA); gateways (computer networks); information systems; internet protocols; network protocols; object-oriented design; object-oriented programming; object-oriented programming languages; signal processing; social networks; software architecture; software design; system architectures; Information technology: general issues; Expert systems / knowledge-based systems; Computer programming / software engineering; Operating systemsDOI
10.1007/978-3-030-79851-2ISBN
9783030798512, 9783030798512Publisher
Springer NaturePublisher website
https://www.springernature.com/gp/products/booksPublication date and place
2021Imprint
Springer International PublishingSeries
Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI, 12621Classification
Information technology: general topics
Expert systems / knowledge-based systems
Computer programming / software engineering
Software Engineering