Out of school children and child protection: Understanding and improving the quality of data on out of school children by William C. Smith

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Mining Conditional Functional Dependency Rules on Big Data by Mingda Li, Hongzhi Wang, Jianzhong Li

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Addressing Missing Data in Slope Displacement Monitoring: Comparative Analysis of Advanced Imputation Methods by Seungjoo Lee, Yongjin Kim, Bongjun Ji, Yongseong Kim

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Multi-view Clustering: A Survey by Yan Yang, Hao Wang

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Identifying a Set of Key Paradata Indicators in Web Surveys Based on the Relationship with Response Quality, Respondent Characteristics and Survey Estimates by Vasja Vehovar, Nejc Berzelak, Gregor Čehovin

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Children's environmental citizen science: Stakeholders' experiences and perceptions by Catherine Wilson, Sarah Mills, Paul J. Wood

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Development of a Cost-effective Adsorption Dryer for High-quality Aerosol Sampling by Simonas Kecorius, Leizel Madueño, Susanne Sues, Josef Cyrys, Mario Lovrić, Mira Pöhlker, Kristina Plauškaitė, Lina Davulienė, Agnė Minderytė, Steigvilė Byčenkienė

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Enhancing DataOps practices through innovative collaborative models: A systematic review by Aymen Fannouch, Jihane Gharib, Youssef Gahi

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We Have Come a Long Way and We Have a Long Way to Go: A Cross-Survey Comparison of Data Quality in 16 Arab Countries in the Arab Barometer vs the World Values Survey by Saskia Glas, Veronica Kostenko

Subjects: “…data quality…”
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KALİTE MALİYETLERİ VE VERİ KALİTESİ by Fahri Kurşunel, Fatih Güzel

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Drug Cost-Effectiveness Assessments Require Standards for Rigor and Inclusion by Tia Goss Sawhney, Neil Thakur

“…ICER should re-evaluate their reliance on quality adjusted life-years and equal value of life years gained as measures of drug effectiveness, establish data quality and inclusiveness minimum standards, produce cost-effectiveness assessments only when the minimum data is available, and prominently report data quality and inclusion limitations. …”
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Guidelines for Research Data Integrity (GRDI) by Gregor Miller, Elmar Spiegel

“…In addition to raising awareness about potential pitfalls and establishing standardization in research data usage, the proposed guidelines serve as a reference for researchers to provide a consistent standard of data quality. Furthermore, they improve the robustness and reliability of the scientific landscape by emphasising the critical role of data quality in research.…”
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Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets by Kumar Abhishek, Aditi Jain, Ghassan Hamarneh

“…Several factors can impact data quality, such as the presence of duplicates, data leakage across train-test partitions, mislabeled images, and the absence of a well-defined test partition. …”
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Reliability Evaluation of Pavement Life-Cycle Assessment Model by Jiale Huang, Fei Xiao, Yang Zhang

“…Inventory reliability of the life-cycle assessment (LCA) model highly depends on the data quality and normally exhibits significant uncertainty. …”
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Using Participatory Crowdsourcing in South Africa to Create a Safer Living Environment by Bhaveer Bhana, Stephen Flowerday, Aharon Satt

“…This study proposes public safety data quality criteria which were developed to assess and identify the problems affecting data quality. …”
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Detecting Invalid Associations between Fare Machines and Metro Stations Using Smart Card Data by Pengfei Zhang, Zhenliang Ma, Xiaoxiong Weng

“…Data quality is essential for its authentic usage in analysis and applications. …”
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Situational analysis of the quality of maternal, child, and adolescent health data in the health districts of Thiès, Mbour, Kédougou, and Saraya in Senegal by Fatoumata Binetou Diongue, Adama Faye, Cheikh Loucoubar, Ndèye Marème Sougou, Ibrahima Sy, Adama Tall, Youssoupha Ndiaye, Samba Cor Sarr

“…Quality data strengthens the validity and reliability of research results. Common areas of data quality include accuracy, completeness, consistency, credibility, and timeliness. …”
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Application and Legal Governance of Computational Technologies in Credit Investigation: An Interdisciplinary Perspective by Ying Zhang, Zhen Xie, Xiuwei Qu

“…By analyzing the computational technologies and algorithms most commonly used in credit data collection and data storage, data transmission and data access, data analysis and processing, data calculation, result output and effect evaluation, this paper summarizes and proposes a unified general process of modern credit investigation, pointing out that in this general process, low data quality, privacy violation, algorithmic bias are the main challenges in the big data era, and countermeasures like data quality control, privacy protection, and algorithm governance need to be to be taken seriously into account in order to further explore the great potential of the credit investigation under the legal framework.…”
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Database quality assessment in research in paramedicine: a scoping review protocol by Dean Kriellaars, Gordon Giesbrecht, Neil McDonald, Malcolm Doupe, Rob T Pryce

“…Variable or unknown data quality can influence the validity of research in paramedicine. …”
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Application of IoT and blockchain technology in the integration of innovation and industrial chains in high-tech manufacturing by Zepei Li, Peng Zheng, Yanjia Tian

“…Experiments conducted on the NASA Turbofan Engine Degradation and UCI Hydraulic Systems datasets demonstrate that BD-IoTQNet outperforms existing models in accuracy, precision, and data quality improvement, with reduced latency and enhanced robustness under noisy and missing data conditions. …”
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