Optimising Data Analytics to Enhance Postgraduate Student Academic Achievement: A Systematic Review by Mthokozisi Masumbika Ncube, Patrick Ngulube

“…However, limitations (standardised tests, data integration) and privacy concerns were acknowledged. …”
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Data-Centric Fine-Tuning of Small Language Models for Automatic Extraction of Technical Requirements by Leopold Muller, Nina Schwarz, Lars Bocking, Andreas Bereczuk, Hanno Stagge, Wolfgang Kratsch, Niklas Kuhl

“…These results underscore the potential of data-centric fine-tuning for adapting small language models to high-stakes, privacy-sensitive tasks, offering a scalable alternative to LLMs enabling their applications to real-world use cases.…”
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The impact of big data analytics on digital marketing decision-making: A comprehensive analysis by Roberta Bajrami, Adelina Gashi, Kaltrina Bajraktari, Etleva Namligjiu

“…An online questionnaire, delivered through SurveyMonkey, achieved a 92% response rate (n = 230), capturing data on tool usage, benefits, and problems. Data pre-processing includes duplicate removal and mean imputation, followed by K-means clustering and logistic regression analysis using Python (scikit-learn, pandas). …”
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Leveraging data analytics for detection and impact evaluation of fake news and deepfakes in social networks by Tony Mathew Abraham, Tao Wen, Ting Wu, Yu-wang Chen

“…The rampant rise of deepfake technology poses huge risks to social trust and privacy issues, which impacts both individuals and society at large, and leveraging the effective use of data analytics, machine learning and AI techniques can help prevent irreparable damage and mitigate the negative impacts of deepfakes in social networks. …”
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Health equity innovation in precision medicine: data stewardship and agency to expand representation in clinicogenomics by Patrick J. Silva, Vasiliki Rahimzadeh, Reid Powell, Junaid Husain, Scott Grossman, Adam Hansen, Jennifer Hinkel, Rafael Rosengarten, Marcia G. Ory, Kenneth S. Ramos

“…Digital tools that preserve privacy, document provenance, and enable the management of data as intellectual property have great promise. …”
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Legal Implications of Consumer Personal Data Misuse by OJK Licensed Fintech Lending Operators by Rahmadi Indra Tektona

“…The Investment Alert Task Force has taken firm action against illegal fintech lending that has the potential to break the law, along with the Indonesian National Police and the Ministry of Communication and Information. Privacy is violated when personal data are collected and shared. …”
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SQUiD: ultra-secure storage and analysis of genetic data for the advancement of precision medicine by Jacob Blindenbach, Jiayi Kang, Seungwan Hong, Caline Karam, Thomas Lehner, Gamze Gürsoy

“…Due to the sensitive nature of this data and varied laws and regulations, additional security measures are needed to ensure data privacy. …”
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Data Sovereignty and Open Sharing: Reconceiving Benefit-Sharing and Governance of Digital Sequence Information by Masanori Arita

“…Using the example of the COVID-19 pandemic, the tension between open science principles and data control rights is explained. …”
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Big Data–Driven Health Portraits for Personalized Management in Noncommunicable Diseases: Scoping Review by Haoyang Du, Jianing Yu, Dandan Chen, Jingjie Wu, Erxu Xue, Yufeng Zhou, Xiaohua Pan, Jing Shao, Zhihong Ye

“…In terms of volume, structured data were widely used (64.29%-100% depending on portrait type), while unstructured data usage varied significantly (19.05%-93.33%). …”
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Enhancing tourism management through big data: Design and implementation of an integrated information system by Lulu Wang

“…The system combines data from several sources, including booking systems, social media platforms, and tracking devices, and addresses issues related to data privacy, quality, and integration. …”
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Empathy, bias, and data responsibility: evaluating AI chatbots for gender-based violence support by Borja Sanz Urquijo, María López Belloso, Ainhoa Izaguirre-Choperena

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Sense (and) the city: From Internet of Things sensors and open data platforms to urban observatories by Vijay Kumar, Sam Gunner, Maria Pregnolato, Patrick Tully, Nektarios Georgalas, George Oikonomou, Stylianos Karatzas, Theo Tryfonas

“…Anyone can monitor from their fitness to the air quality of their immediate environment using everyday technologies. With caveats around privacy and accuracy, such data could even complement those collected by authorities at city‐scale, for validating or improving policies. …”
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Verifiable Blockchain-Empowered Federated Learning for Secure Data Sharing in the Internet of Medical Things by Ping Guo, Shuilong Xu, Wenfeng Liang

“…This paper proposes a verifiable blockchain-empowered federated learning framework to address privacy and aggregation verification challenges in data sharing. …”
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Perlindungan Data Pribadi Konsumen Oleh Penyelenggara Sistem Elektronik Dalam Transaksi Digital by Rista Maharani, Andria Luhur Prakoso

“…In the field of digital economic transactions, the significance of personal data is increasing, driven by the widespread use of big data. …”
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Analysis of Model Merging Methods for Continual Updating of Foundation Models in Distributed Data Settings by Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

“…To address these issues, we propose a novel framework that integrates model merging with federated learning to enable continual foundation model updates without centralizing sensitive data. In this framework, each client fine-tunes a local model, and the server merges these models using multiple merging strategies. …”
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Adaptive integrated weight unsupervised multi-source domain adaptation without source data by Zhirui Wang, Liu Yang, Yahong Han

“…Existing methods assume that all source domain data can be accessed directly. However, such an assumption is unrealistic and causes data privacy concerns, especially when the source domain labels include personal information. …”
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Big Data Meets Social Networks: A Survey of Analytical Strategies and Research Challenges by Shashank Sheshar Singh, Shashank Singh, Kuldeep Singh, Vishal Srivastava, Harish Kumar Shakya

“…In addition, it covers issues of scalability, data quality, privacy, and real-time analysis. SN analytics can be useful for researchers from across domains like business and marketing, healthcare and biomedicine, social sciences and psychology, politics and governance, cybersecurity and fraud detection, recommendation systems, crisis management, and disaster response to extract crucial information from vast datasets and formulate domain-specific strategies.…”
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Enhancing cybersecurity through autonomous knowledge graph construction by integrating heterogeneous data sources by Hatoon Alharbi, Ali Hur, Hasan Alkahtani, Hafiz Farooq Ahmad

“…In our research, we construct a cybersecurity knowledge graph (CKG) autonomously using heterogeneous data sources. We further enhance the CKG by applying logical rules and employing graph analytic algorithms. …”
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Substation Inspection Safety Risk Identification Based on Synthetic Data and Spatiotemporal Action Detection by Chengcheng Liu, Weihua Zhang, Weijin Xu, Bo Lu, Weijie Li, Xuefeng Zhao

“…Model training is conducted using three datasets: a real dataset, a synthetic dataset generated via a VWP, and a mixed dataset comprising both real and synthetic data. …”
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Big Data and AI Algorithms for Sustainable Development Goals: A Topic Modeling Analysis by Prema Nedungadi, Simi Surendran, Kai-Yu Tang, Raghu Raman

“…Using BERTopic modeling, a machine learning technique, this research systematically analyzes literature from 2013 to 2024, providing an overview of AI and big data applications mapped to SDGs which is a first. …”
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