Exploring Intellectual Property in the Digital Realm: A Bibliometric Study on Research on the Management and Protection of Data-Based Intellectual Property by Hanyue Sun, Jiajia Liu, Bingyuan Chen, Le Yang

“…However, a comprehensive and multidimensional examination of the research landscape is still required to better understand its structure and evolution. Using CiteSpace software, this study conducts a bibliometric analysis, revealing key trends and patterns in collaboration, co-citation, and keyword co-occurrence in the field of data-based intellectual property. …”
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NFTs enabled federated digital identity data representation and management by Memoona Javeria Anwar, Asif Qumer Gill

“…The idea of using NFTs to represent digital identities and their associated data is promising, but it also raises significant concerns regarding data privacy and compliance. …”
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Las tecnologías de la información; derecho a la privacidad, tratamiento de datos y tercera edad by María Nieves De la Serna Bilbao

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TAPS Responsibility matrix: a tool for responsible data science by design by Visara Urovi, Remzi Celebi, Chang Sun, Parveen Kumar, Linda Rieswijk, Michael Erard, Arif Yilmaz, Kody Moodley, Michel Dumontier

“…We map TAPS-RM to well-known initiatives for open-data (FACT/FAIR and Datasheets for datasets). We conclude that TAPS-RM is a tool to reflect on responsibilities at a data science project level and can be used to advance responsible data science by design.…”
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High-Order Vehicular Pattern Learning and Privacy-Preserving and Unsupervised GAN for Privacy Protection Toward Vehicular Parts Detection by Yanqin Zhang, Zhanling Zhang

“…To preserve data privacy, we use the PPUP-GAN to create massive-scale vehicular data that well mimics real data. …”
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A Proposed Vision for Using Artificial Intelligence in Enhancing Strategic Value of Human Resources by Nadera Hourani

“…Yet, there are significant challenges in the form of algorithmic bias, data privacy concerns, and organizational readiness. …”
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Challenges and Ethical Considerations in Implementing Assistive Technologies in Healthcare by Eleni Gkiolnta, Debopriyo Roy, George F. Fragulis

“…As AI-powered solutions become more widely used, we discovered that stronger legal frameworks and robust data security standards are required. …”
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Synthetic data generation in genomic cancer medicine: a review of global research trends in the last ten years by Valentina De Nicoló, Maria Frasca, Agnese Graziosi, Gianluca Gazzaniga, Davide La Torre, Arianna Pani

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Applying usability recommendations when developing mobile instant messaging applications by Sergio Caro‐Álvaro, Eva García‐López, Antonio García‐Cabot, Luis de‐Marcos, Adrián Domínguez‐Díaz

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Protection of Public Services Personal Data in The Delivery of Public Services: Comparative Study in Indonesia and Malaysia by Winsherly Tan, Rizky Pratama Putra Karo Karo, Ampuan Situmeang, Shelvi Rusdiana, Siti Suraya Abd Razak

“…However, the exposure of personal data in public service is worrying, as data breaches have affected the public's privacy. …”
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“By browsing this site, you accept cookies”: Research on the cookie usage permissions of news sites in Türkiye by Murat Uluk

“…Particularly in recent years, increasing awareness levels about personal data, digital privacy studies, and legal regulations have raised concerns about the use of cookies. …”
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Prexion: Probabilistic Matching-Based Compression to Mitigate Compression Side Channel Attacks Against HTTPS by Hyoungshick Kim, Sangwon Hyun

“…Web servers typically use data compression and encryption to optimize data transmission and protect user privacy. …”
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On the edge of glory (…or catastrophe): regulation, transparency and party democracy in data-driven campaigning in Québec by Eric Montigny, Philippe Dubois, Thierry Giasson

“…They have all massively integrated data-driven campaigning practices. This article identifies factors that could explain the increasing pressure to regulate Québec’s political parties’ uses of large sets of digital voter information. …”
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Secure K-Means Clustering Scheme for Confidential Data Based on Paillier Cryptosystem by Zhengqi Zhang, Zixin Xiong, Jun Ye

“…The protocol uses the additive homomorphism property of the Paillier cryptosystem to perform K-means clustering on the encrypted data, which ensures the confidentiality of the data during the whole calculation process. …”
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Mining privacy-preserving association rules using transaction hewer allocator and facile hash algorithm in multi-cloud environments by D. Dhinakaran, S. Gopalakrishnan, D. Selvaraj, M.S. Girija, G. Prabaharan

“…However, in outsourced data for tasks like frequent itemset mining, privacy is an important issue. …”
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PERSONAL DATA PROTECTION ISSUE REFLECTED IN THE CASE-LAW OF THE CONSTITUTIONAL COURT OF ROMANIA by Valentina BĂRBĂȚEANU

“…Over the past few years, data privacy became more and more an issue that stirred on European level lots of debates and determined the adoption of a new set of rules, imposed with the compulsory force of a European regulation. …”
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A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum by Janis Judvaitis, Eduards Blumbergs, Audris Arzovs, Andris Ivars Mackus, Rihards Balass, Leo Selavo

“…The approach of the IECC Data Management Framework (DMF) introduces a novel combination of multiple easy-to-configure plugin environments using data visualization features. …”
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SAFED: secure and adaptive framework for edge-based data aggregation in IoT applications by Zaineb Naaz, Gamini Joshi, Vidushi Sharma

“…Based on requirements, the control center decrypts the aggregated data using its private key. Employing the Paillier cryptosystem for encryption and RSA for authentication, SAFED is fault-tolerant, maintaining functionality even if some IoT nodes fail. …”
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Complexity analysis and practical resolution of the data classification problem with private characteristics by David Pantoja, Ismael Rodríguez, Fernando Rubio, Clara Segura

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BeyondLife: An Open-Source Digital Will Solution for Posthumous Data Management by Xinzhang Chen, Arash Shaghaghi, Jesse Laeuchli, Salil S. Kanhere

“…Managing posthumous data is becoming an increasingly complex challenge, with many existing technical solutions proving impractical in real-world applications. …”
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