Privacy ()
Definition: Social participation refers to Promoting Civic Participation and Transparency of Government Decision-Making Processes covering policies concerning ICT. The usage of digital environments can promote new kinds of sociability, support, and usability or revive certainly lost facets of social ties.The construction of more effective public services, as well as new kinds of communication and interaction between citizens and the various levels of government, can all be facilitated by the use of digital tools. Even more public involvement in various levels of local management processes is possible with their use. These fresh working alliances also contribute to the legitimacy and increased transparency of public activity. Some examples of social participation are:• E-democracy• E-participation• Government-to-citizen (G2C)• Citizen-to-government (C2G)• Citizen-to-citizen (C2C)• Open governance partnership• Grass-root activism and social networking• Political campaigns• Online media• I-voting• Mechanisms: e-petitions, online consultation and crowd-sourcing platforms etc. The implications of social participation are related to the creation and implementation of policies that include as the backbone, the citizens and businesses. Additionally, to policies that govern, it is relevant that public administrations implement tools that foster, enable and ensure stakeholders participation. "" Source: Digital Democracy of European Citizen Action Service (ECAS) Source reference: https://ecas.org/digital-democracy/ Last modification: 2024-01-17 Identifier: http://data.europa.eu/2sa/elap/social-participation EIRA concept: eira:ArchitectureBuildingBlock ABB name: elap:SocialParticipationPrinciple Title: Social participation EIF Layer: N/A ABB Specialised: eira:EuropeanLibraryofArchitecturePrinciplesPrinciple
elap:PURIhttp://data.europa.eu/2sa/elap/privacy
dct:titlePrivacy
dct:description(Statement) Privacy signifies the agreement to the processing of personal data related to an individual, ensuring that personal data is handled with respect and in compliance with legal frameworks.
dct:description(Rationale) Privacy refers to any freely given, specific, informed, and unambiguous indication of the data subject's wishes by which they, through a statement or clear affirmative action, signify agreement to the processing of personal data relating to them. This principle ensures that the vast amounts of citizens' personal data held and processed by public bodies, solutions, and public services are protected by complying with the applicable legal framework, such as the GDPR. In the context of artificial intelligence, privacy is crucial to prevent misuse of personal data and to maintain trust in AI systems. Ensuring privacy compliance not only protects individuals' rights but also enhances the credibility and reliability of digital solutions and public services.
dct:description(Implications) Public bodies and administrations must implement appropriate technical and organisational measures to ensure and demonstrate that processing is performed according to the GDPR. These measures should be regularly reviewed and updated as necessary. Public administrations must establish data protection policies and procedures, conduct regular privacy impact assessments, and ensure that all staff are trained on data protection principles. They should also adopt privacy-by-design principles, integrating privacy considerations into the development and deployment of systems, including AI-related solutions. This involves using robust data anonymisation techniques, ensuring transparency in data processing activities, and implementing secure data management practices. Additionally, public bodies must encourage the establishment of data protection certification mechanisms and data protection seals and marks to demonstrate compliance. All interoperability layers within public services must consider and foresee the implementation of mechanisms to achieve GDPR compliance, ensuring that data is protected across all systems and processes. Additionally, Public bodies should also consider the use of pseudonymity techniques to protect individuals' identities in certain cases, ensuring that personal data is processed in a manner that prevents direct identification while still allowing for necessary data analysis and processing.
elap:scopeBusiness agnostic
elap:CategoryDigital Public Service Implementation
dct:sourceSecurity and Privacy Underlying Principle (8) of the European Interoperability Framework (EIF)
dct:sourcehttps://interoperable-europe.ec.europa.eu/collection/nifo-national-interoperability-framework-observatory/2-underlying-principles-european-public-services#2.4
rdfs:commentThe European Interoperability Framework is part of the Communication (COM(2017)134) from the European Commission adopted on 23 March 2017. The framework gives specific guidance on how to set up interoperable digital public services.
dcat:themeLegal IoP, Organisational IoP, Semantic IoP, Technical IoP
elap:paGovernanceCommon
elap:influenceInDPSLifecycleObligation
elap:influenceInDPSAttributeObligation