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DiDaT Weißbuch : Verantwortungsvoller Umgang mit digitalen Daten – Orientierungen eines transdisziplinären Prozesses
| DiDaT Weißbuch : Verantwortungsvoller Umgang mit digitalen Daten – Orientierungen eines transdisziplinären Prozesses |
| Autore | Scholz Roland W |
| Pubbl/distr/stampa | Baden-Baden, : Nomos Verlagsgesellschaft mbH & Co. KG, 2021 |
| Descrizione fisica | 1 electronic resource (196 p.) |
| Soggetto topico |
KNT
LNR JFD JFM LNQD |
| Soggetto non controllato |
Algorithm
Digitazation Artificial Intelligence Data Protection Social Media Knowledge Management |
| ISBN | 3-7489-2411-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Altri titoli varianti |
DiDaT Weißbuch
DiDaT WeiÃbuch |
| Record Nr. | UNINA-9910557674803321 |
Scholz Roland W
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| Baden-Baden, : Nomos Verlagsgesellschaft mbH & Co. KG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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DiDaT Weißbuch : Verantwortungsvoller Umgang mit digitalen Daten – Orientierungen eines transdisziplinären Prozesses
| DiDaT Weißbuch : Verantwortungsvoller Umgang mit digitalen Daten – Orientierungen eines transdisziplinären Prozesses |
| Autore | Scholz Roland W |
| Pubbl/distr/stampa | Baden-Baden, : Nomos Verlagsgesellschaft mbH & Co. KG, 2021 |
| Descrizione fisica | 1 electronic resource (196 p.) |
| Soggetto topico |
KNT
LNR JFD JFM LNQD |
| Soggetto non controllato |
Algorithm
Digitazation Artificial Intelligence Data Protection Social Media Knowledge Management |
| ISBN | 3-7489-2411-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Altri titoli varianti |
DiDaT Weißbuch
DiDaT WeiÃbuch |
| Record Nr. | UNISA-996540346103316 |
|
Scholz Roland W
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| Baden-Baden, : Nomos Verlagsgesellschaft mbH & Co. KG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Digitalität und Privatheit : Kulturelle, politisch-rechtliche und soziale Perspektiven / Christian Aldenhoff, Lukas Edeler, Martin Hennig, Jakob Kelsch, Lea Raabe, Felix Sobala
| Digitalität und Privatheit : Kulturelle, politisch-rechtliche und soziale Perspektiven / Christian Aldenhoff, Lukas Edeler, Martin Hennig, Jakob Kelsch, Lea Raabe, Felix Sobala |
| Autore | Aldenhoff Christian |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Bielefeld, : transcript Verlag, 2019 |
| Descrizione fisica | 1 online resource (406) |
| Collana | Digitale Gesellschaft |
| Soggetto topico | Digitalisierung; Privatheit; Kultur; Medien; Recht; Datenschutz; Internet; Digitale Medien; Cultural Studies; Medienästhetik; Mediensoziologie; Medienwissenschaft; Digitalization; Privacy; Culture; Media; Law; Data Protection; Digital Media; Media Aesthetics; Sociology of Media; Media Studies |
| Soggetto non controllato |
Cultural Studies
Culture Data Protection Digital Media Internet Law Media Aesthetics Media Studies Media Privacy Sociology of Media |
| ISBN | 3-8394-4661-9 |
| Classificazione | MS 7965 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Frontmatter 1 Inhalt 5 Verzeichnis der verwendeten Gesetze 9 ›Smarte Diktatur‹ oder ›egalitäre Netzgemeinschaft‹? 11 Einleitung 29 Legitimation von Datenverarbeitung via AGB? 37 Schutz der (digitalen) Privatsphäre als Staatsaufgabe? 63 Technologisierung der Lebenskunst - Subjektivierung und Digitalitt 85 Persnlichkeitsschutz im digitalen Umfeld in Zeiten der Mehrebenenregulierung 111 Einleitung 131 Reflexionen zu einem social turn in den privacy studies 139 Unsocial Bots - Eine Gefahr für die Autonomie des Gesellschaftssystems 167 Die Kommentarspalten des Online-Magazins COMPACT als privatisierte Echokammer 197 Connecting the Dots 225 Einleitung 255 Reader Analytics: Vom privaten zum öffentlichen Lesen? 263 Aushandlung und Inszenierung des Privaten in room tour-Videos 283 »Ich erfinde nichts, ist alles, was ich sagen kann« 303 'GRWM': Modes of Aesthetic Observance, Surveillance, and Subversion on YouTube 329 »The Glass Room« - Privatheit in digitalen Kunstprojekten 353 »Transparente Individuen im intransparenten System« 371 Autor/en/innen und Herausgeber/in 399 |
| Record Nr. | UNISA-996309069003316 |
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Aldenhoff Christian
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| Bielefeld, : transcript Verlag, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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The Elements of Big Data Value [[electronic resource] ] : Foundations of the Research and Innovation Ecosystem
| The Elements of Big Data Value [[electronic resource] ] : Foundations of the Research and Innovation Ecosystem |
| Autore | Curry Edward |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (412 p.) |
| Altri autori (Persone) |
MetzgerAndreas
ZillnerSonja PazzagliaJean-Christophe García RoblesAna |
| Soggetto topico |
Information retrieval
Business & management Research & development management Information technology industries Databases |
| Soggetto non controllato |
Information Storage and Retrieval
Business and Management, general Innovation/Technology Management The Computer Industry Big Data Innovation and Technology Management Technology Commercialization Digital Transformation Innovation Spaces Data-Driven Innovation Data Analytics Technology Management Data Ecosystems Data Protection Big Data Business Models Open Access Information retrieval Data warehousing Business & Management Research & development management Industrial applications of scientific research & technological innovation Information technology industries Databases |
| ISBN | 3-030-68176-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464495403316 |
|
Curry Edward
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem
| The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem |
| Autore | Curry Edward |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (412 p.) |
| Altri autori (Persone) |
MetzgerAndreas
ZillnerSonja PazzagliaJean-Christophe García RoblesAna |
| Collana | Computer Science Series |
| Soggetto topico |
Information retrieval
Business & management Research & development management Information technology industries Databases |
| Soggetto non controllato |
Information Storage and Retrieval
Business and Management, general Innovation/Technology Management The Computer Industry Big Data Innovation and Technology Management Technology Commercialization Digital Transformation Innovation Spaces Data-Driven Innovation Data Analytics Technology Management Data Ecosystems Data Protection Big Data Business Models Open Access Information retrieval Data warehousing Business & Management Research & development management Industrial applications of scientific research & technological innovation Information technology industries Databases |
| ISBN | 3-030-68176-9 |
| Classificazione | BUS042000BUS070030BUS087000COM021000COM030000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Foreword -- Foreword -- Preface -- Acknowledgements -- Contents -- Editors and Contributors -- Part I: Ecosystem Elements of Big Data Value -- The European Big Data Value Ecosystem -- 1 Introduction -- 2 What Is Big Data Value? -- 3 Strategic Importance of Big Data Value -- 4 Developing a European Big Data Value Ecosystem -- 4.1 Challenges -- 4.2 A Call for Action -- 4.3 The Big Data Value PPP (BDV PPP) -- 4.4 Big Data Value Association -- 5 The Elements of Big Data Value -- 5.1 Ecosystem Elements of Big Data Value -- 5.2 Research and Innovation Elements of Big Data Value -- 5.3 Business, Policy and Societal Elements of Big Data Value -- 5.4 Emerging Elements of Big Data Value -- 6 Summary -- References -- Stakeholder Analysis of Data Ecosystems -- 1 Introduction -- 2 Stakeholder Analysis -- 3 Who Is a Stakeholder? -- 4 Methodology -- 4.1 Phase 1: Case Studies -- 4.2 Phase 2: Cross-Case Analysis -- 5 Sectoral Case Studies -- 6 Cross-Case Analysis -- 6.1 Technology Adoption Stage -- 6.2 Data Value Chain -- 6.3 Strategic Impact of IT -- 6.4 Stakeholder Characteristics -- 6.5 Stakeholder Influence -- 7 Summary -- References -- A Roadmap to Drive Adoption of Data Ecosystems -- 1 Introduction -- 2 Challenges for the Adoption of Big Data Value -- 3 Big Data Value Public-Private Partnership -- 3.1 The Big Data Value Ecosystem -- 4 Five Mechanism to Drive Adoption -- 4.1 European Innovation Spaces (i-Spaces) -- 4.2 Lighthouse Projects -- 4.3 Technical Projects -- 4.4 Platforms for Data Sharing -- 4.4.1 Industrial Data Platforms (IDP) -- 4.4.2 Personal Data Platforms (PDP) -- 4.5 Cooperation and Coordination Projects -- 5 Roadmap for Adoption of Big Data Value -- 6 European Data Value Ecosystem Development -- 7 Summary -- References -- Achievements and Impact of the Big Data Value Public-Private Partnership: The Story so Far.
1 Introduction -- 2 The Big Data Value PPP -- 2.1 BDV PPP Vision and Objectives for European Big Data Value -- 2.2 Big Data Value Association (BDVA) -- 2.3 BDV PPP Objectives -- 2.4 BDV PPP Governance -- 2.5 BDV PPP Monitoring Framework -- 3 Main Activities and Achievements During 2018 -- 3.1 Mobilisation of Stakeholders, Outreach, Success Stories -- 4 Monitored Achievements and Impact of the PPP -- 4.1 Achievement of the Goals of the PPP -- 4.2 Progress Achieved on KPIs -- 4.2.1 Private Investments -- 4.2.2 Job Creation, New Skills and Job Profiles -- 4.2.3 Impact of the BDV PPP on SMEs -- 4.2.4 Innovations Emerging from Projects -- 4.2.5 Supporting Major Sectors and Major Domains with Big Data Technologies and Applications -- 4.2.6 Experimentation -- 4.2.7 SRIA Implementation and Update -- 4.2.8 Technical Projects -- 4.2.9 Macro-economic KPIs -- 4.2.10 Contributions to Environmental Challenges -- 4.2.11 Standardisation Activities with European Standardisation Bodies -- 5 Summary and Outlook -- References -- Part II: Research and Innovation Elements of Big Data Value -- Technical Research Priorities for Big Data -- 1 Introduction -- 2 Methodology -- 2.1 Technology State of the Art and Sector Analysis -- 2.2 Subject Matter Expert Interviews -- 2.3 Stakeholder Workshops -- 2.4 Requirement Consolidation -- 2.5 Community Survey -- 3 Research Priorities for Big Data Value -- 3.1 Priority `Data Management´ -- 3.1.1 Challenges -- 3.1.2 Outcomes -- 3.2 Priority `Data Processing Architectures´ -- 3.2.1 Challenges -- 3.2.2 Outcomes -- 3.3 Priority `Data Analytics´ -- 3.3.1 Challenges -- 3.3.2 Outcomes -- 3.4 Priority `Data Visualisation and User Interaction´ -- 3.4.1 Challenges -- 3.4.2 Outcomes -- 3.5 Priority `Data Protection´ -- 3.5.1 Challenges -- 3.5.2 Outcomes -- 4 Big Data Standardisation -- 5 Engineering and DevOps for Big Data -- 5.1 Challenges. 5.2 Outcomes -- 6 Illustrative Scenario in Healthcare -- 7 Summary -- References -- A Reference Model for Big Data Technologies -- 1 Introduction -- 2 Reference Model -- 2.1 Horizontal Concerns -- 2.1.1 Data Visualisation and User Interaction -- 2.1.2 Data Analytics -- 2.1.3 Data Processing Architectures -- 2.1.4 Data Protection -- 2.1.5 Data Management -- 2.1.6 Cloud and High-Performance Computing (HPC) -- 2.1.7 IoT, CPS, Edge and Fog Computing -- 2.2 Vertical Concerns -- 2.2.1 Big Data Types and Semantics -- 2.2.2 Standards -- 2.2.3 Communication and Connectivity -- 2.2.4 Cybersecurity -- 2.2.5 Engineering and DevOps for Building Big Data Value Systems -- 2.2.6 Marketplaces, Industrial Data Platforms and Personal Data Platforms (IDPs/PDPs), Ecosystems for Data Sharing and Innovat... -- 3 Transforming Transport Case Study -- 3.1 Data Analytics -- 3.2 Data Visualisation -- 3.3 Data Management -- 3.4 Assessing the Impact of Big Data Technologies -- 3.5 Use Case Conclusion -- 4 Summary -- References -- Data Protection in the Era of Artificial Intelligence: Trends, Existing Solutions and Recommendations for Privacy-Preserving T... -- 1 Introduction -- 1.1 Aim of the Chapter -- 1.2 Context -- 2 Challenges to Security and Privacy in Big Data -- 3 Current Trends and Solutions in Privacy-Preserving Technologies -- 3.1 Trend 1: User-Centred Data Protection -- 3.2 Trend 2: Automated Compliance and Tools for Transparency -- 3.3 Trend 3: Learning with Big Data in a Privacy-Friendly and Confidential Way -- 3.4 Future Direction for Policy and Technology Development: Implementing the Old and Developing the New -- 4 Recommendations for Privacy-Preserving Technologies -- References -- A Best Practice Framework for Centres of Excellence in Big Data and Artificial Intelligence -- 1 Introduction -- 2 Innovation Ecosystems and Centres of Excellence. 2.1 What Are Centres of Excellence? -- 3 Methodology -- 4 Best Practice Framework for Big Data and Artificial Intelligence Centre of Excellence -- 4.1 Environment -- 4.1.1 Industry -- 4.1.2 Policy -- 4.1.3 Societal -- 4.2 Strategic Capabilities -- 4.2.1 Strategy -- 4.2.2 Governance -- 4.2.3 Structure -- 4.2.4 Funding -- 4.2.5 People -- 4.2.6 Culture -- 4.3 Operational Capabilities -- 4.4 Impact -- 4.4.1 Economic Impact -- 4.4.2 Scientific Impact -- 4.4.3 Societal Impact -- 4.4.4 Impact Measured Through KPIs -- 5 How to Use the Framework -- 5.1 Framework in Action -- 6 Critical Success Factors for Centres of Excellence -- 6.1 Challenges -- 6.2 Success Factors -- 6.3 Mechanisms to Address Challenges -- 6.4 Ideal Situation -- 7 Summary -- References -- Data Innovation Spaces -- 1 Introduction -- 2 Introduction to the European Data Innovation Spaces -- 3 Key Elements of an i-Space -- 4 Role of an i-Space and its Alignment with Other Initiatives -- 5 BDVA i-Spaces Certification Process -- 6 Impact of i-Spaces in Their Local Innovation Ecosystems -- 7 Cross-Border Collaboration: Towards a European Federation of i-Spaces -- 8 Success Stories -- 8.1 CeADAR: Ireland´s Centre for Applied Artificial Intelligence -- 8.2 CINECA -- 8.3 EGI -- 8.4 EURECAT/Big Data CoE Barcelona -- 8.5 ITAINNOVA/Aragon DIH -- 8.6 ITI/Data Cycle Hub -- 8.7 Know-Center -- 8.8 NCSR Demokritos/Attica Hub for the Economy of Data and Devices (ahedd) -- 8.9 RISE/ICE by RISE -- 8.10 Smart Data Innovation Lab (SDIL) -- 8.11 TeraLab -- 8.12 Universidad Politécnica de Madrid/Madrid´s i-Space for Sustainability/AIR4S DIH -- 9 Summary -- Reference -- Part III: Business, Policy, and Societal Elements of Big Data Value -- Big Data Value Creation by Example -- 1 Introduction -- 2 How Can Big Data Transform Everyday Mobility and Logistics?. 3 Digitalizing Forestry by Harnessing the Power of Big Data -- 4 GATE: First Big Data Centre of Excellence in Bulgaria -- 5 Beyond Privacy: Ethical and Societal Implications of Data Science -- 6 A Three-Year Journey to Insights and Investment -- 7 Scaling Up Data-Centric Start-Ups -- 8 Campaign Booster -- 9 AI Technology Meets Animal Welfare to Sustainably Feed the World -- 10 Creating the Next Generation of Smart Manufacturing with Federated Learning -- 11 Towards Open and Agile Big Data Analytics in Financial Sector -- 12 Electric Vehicles for Humans -- 13 Enabling 5G in Europe -- 14 Summary -- References -- Business Models and Ecosystem for Big Data -- 1 Introduction -- 2 Big Data Business Approaches -- 2.1 Optimisation and Improvements -- 2.2 Upgrading and Revaluation -- 2.3 Monetising -- 2.4 Breakthrough -- 3 Data-Driven Business Opportunities -- 4 Leveraging the Data Ecosystems -- 4.1 Data-Sharing Ecosystem -- 4.2 Data Innovation Ecosystems -- 4.3 Value Networks in a Business Ecosystem -- 5 Data-Driven Innovation Framework and Success Stories -- 5.1 The Data-Driven Innovation Framework -- 5.2 Examples of Success Stories -- 5.2.1 Selectionnist -- 5.2.2 Arable -- 6 Conclusion -- References -- Innovation in Times of Big Data and AI: Introducing the Data-Driven Innovation (DDI) Framework -- 1 Introduction -- 2 Data-Driven Innovation -- 2.1 What Are Business Opportunities? -- 2.2 Characteristics of Data-Driven Innovation -- 2.3 How to Screen Data-Driven Innovation? -- 3 The ``Making-of´´ the DDI Framework -- 3.1 State-of-the-Art Analysis -- 3.2 DDI Ontology Building -- 3.3 Data Collection and Coding -- 3.3.1 Selection Criteria -- 3.3.2 Sample Data Generation -- 3.3.3 Coding of Data -- 3.4 Data Analysis -- 4 Findings of the Empirical DDI Research Study -- 4.1 General Findings -- 4.2 Value Proposition -- 4.3 Data -- 4.4 Technology. 4.5 Network Strategies. |
| Record Nr. | UNINA-9910488709403321 |
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Curry Edward
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Kritik des Anti-Doping : Eine konstruktive Auseinandersetzung zu Methoden und Strategien im Kampf gegen Doping / Nils Zurawski, Marcel Scharf
| Kritik des Anti-Doping : Eine konstruktive Auseinandersetzung zu Methoden und Strategien im Kampf gegen Doping / Nils Zurawski, Marcel Scharf |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Bielefeld, : transcript Verlag, 2019 |
| Descrizione fisica | 1 online resource (333 pages) |
| Disciplina | 306.48 |
| Collana | KörperKulturen |
| Soggetto topico | Doping; Anti-Doping; Kontrolle; Überwachung; Sport; Privacy; Datenschutz; Soziologie; Körper; Sportwissenschaft; Rechtssoziologie; Anti-doping; Control; Surveillance; Data Protection; Sociology; Body; Sport Science; Sociology of Law |
| Soggetto non controllato |
Anti-doping
Body Control Data Protection Privacy Sociology of Law Sociology Sport Science Sport Surveillance |
| ISBN | 3-8394-4494-2 |
| Classificazione | MS 6540 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Frontmatter 1 Inhalt 5 Vorwort und Danksagung 7 Zur Kritik des Anti-Doping - eine Einleitung 9 Perikles Simon und der Rückzug aus dem öffentlichen Anti-Doping-Kampf 17 Whistleblower, Kronzeuge, Nestbeschmutzer, Denunziant? 21 Sport und Konsumgesellschaft 37 Cannabis als Dopingmittel 69 Das Doping der nächsten Gesellschaft 99 Negative Erlebnisse von Sporttreibenden bei Urin-Dopingkontrollen 117 PARADISE - Wie Ortungstechnologien den Datenschutz im Anti-Doping verbessern können 131 ADAMS: Eine Störung der Privatsphäre 159 Falscher Datenschutz im deutschen Anti-Doping-Kampf? 195 Professionalisierung der Zusammenarbeit von SportphysiotherapeutInnen und TrainerInnen 213 Doping und die Autonomie der mündigen AthletInnen 223 Die AthletInnen im Anti-Doping-Kampf 245 DOSB-Leistungssportreform - aus Fehlern nicht gelernt? 283 Anti-Doping: Ist Kontrolle wirklich besser? 303 Autorinnen und Autoren 327 |
| Record Nr. | UNISA-996571850003316 |
| Bielefeld, : transcript Verlag, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Privacy-Respecting Smart Video Surveillance Based on Usage Control Enforcement
| Privacy-Respecting Smart Video Surveillance Based on Usage Control Enforcement |
| Autore | Birnstill Pascal |
| Pubbl/distr/stampa | KIT Scientific Publishing, 2016 |
| Descrizione fisica | 1 online resource (XI, 240 p. p.) |
| Collana | Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe |
| Soggetto non controllato |
AnonymisierungSmart Video Surveillance
Anonymization Data Protection Datenschutz Intelligente Videoüberwachung Nutzungskontrolle Privacy Usage Control |
| ISBN | 1000055556 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346711503321 |
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Birnstill Pascal
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| KIT Scientific Publishing, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Private Daten : Unsere Spuren in der digitalen Welt / Barbara Wiesner
| Private Daten : Unsere Spuren in der digitalen Welt / Barbara Wiesner |
| Autore | Wiesner Barbara (Technische Hochschule Brandenburg, Deutschland) |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Bielefeld : , : transcript Verlag, , 2021 |
| Descrizione fisica | 1 online resource (110 pages) |
| Disciplina | 300 |
| Collana | Digitale Gesellschaft |
| Soggetto topico | Datensammlung; Datenschutz; Verschlüsselung; Überwachung; Kontrolle; Freiheit; Sicherheit; Demokratie; Datenverarbeitung; Internet; Sozialität; Politik; Digitale Medien; Mediensoziologie; Recht; Medienwissenschaft; Data Collections; Data Protection; Cryptography; Surveillance; Control; Liberty; Security; Democracy; Data Processing; Social Relations; Politics; Digital Media; Sociology of Media; Law; Media Studies |
| Soggetto non controllato |
Control
Cryptography Data Processing Data Protection Democracy Digital Media Internet Law Liberty Media Studies Politics Security Social Relations Sociology of Media Surveillance |
| ISBN | 3-8394-5605-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Frontmatter 1 Inhalt 5 Einleitung 7 Privatheit gestern und heute 9 Unsere Daten: Status quo 17 Unsere Daten: Pro und Contra 37 Unsere Daten: Was verraten sie über uns? 45 Schutz der Privatsphäre durch Verschlüsselung und Anonymisierung 61 Die gesellschaftliche Dimension von Privatheit 71 Freiheit versus Sicherheit 85 Literaturverzeichnis 89 |
| Record Nr. | UNISA-996433044403316 |
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Wiesner Barbara (Technische Hochschule Brandenburg, Deutschland)
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| Bielefeld : , : transcript Verlag, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Società delle tecnologie esponenziali e General Data Protection Regulation : Profili critici nella protezione dei dati / / Simone Bonavita
| Società delle tecnologie esponenziali e General Data Protection Regulation : Profili critici nella protezione dei dati / / Simone Bonavita |
| Autore | Alovisio Mauro |
| Pubbl/distr/stampa | Milano, : Ledizioni, 2019 |
| Descrizione fisica | 1 online resource (103 p.) |
| Altri autori (Persone) |
BanterleFrancesco
CalabròGiuseppe Dello VicarioPaolo FabbriGiuliano Maria MottinoCostanza TaniTommaso TortoliniValentina ZiccardiGiovanni BonavitaSimone |
| Soggetto topico |
Information Science & Library Science
Law (General) GDPR Data Protection Big Data protezione dei dati big data |
| Soggetto non controllato |
Data Protection
Big Data GDPR |
| ISBN | 88-5526-005-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNINA-9910342255203321 |
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Alovisio Mauro
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| Milano, : Ledizioni, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Supplementarische Informationen zum DiDaT Weißbuch : Orientierungen Verantwortungsvoller Umgang mit Daten — Orientierungen eines transdisziplinären Prozesses
| Supplementarische Informationen zum DiDaT Weißbuch : Orientierungen Verantwortungsvoller Umgang mit Daten — Orientierungen eines transdisziplinären Prozesses |
| Autore | Scholz Roland W |
| Pubbl/distr/stampa | Baden-Baden, : Nomos Verlagsgesellschaft mbH & Co. KG, 2021 |
| Descrizione fisica | 1 electronic resource (228 p.) |
| Soggetto topico |
LNR
1QFE |
| Soggetto non controllato |
Soziale Medien
Datenbank Algorithmus Künstliche Intelligenz Ethik Datenschutz Social Media Database Algorithm Artificial Intelligence Ethics Data Protection Digitazation Knowledge Organization Knowledge Management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Altri titoli varianti | Supplementarische Informationen zum DiDaT WeiÃbuch |
| Record Nr. | UNINA-9910557733003321 |
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Scholz Roland W
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| Baden-Baden, : Nomos Verlagsgesellschaft mbH & Co. KG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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