Research trends in digital marketing and data-driven marketing: A bibliometric analysis by Tuğçe Acar Kara, Ferhat Orman

“…The obtained data were processed using the R Project. The findings indicate a constantly growing research interest in the concepts under consideration. …”
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Look-alike modelling in violence-related research: A missing data approach. by Estela Capelas Barbosa, Niels Blom, Annie Bunce

“…We extended our testing to an outcome measure and, finally, applied the technique to a variable fully missing in one data source. …”
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Research on downscaling method of the enhanced TROPOMI solar-induced chlorophyll fluorescence data by Xiaoping Lu, Guosheng Cai, Xiangjun Zhang, Haikun Yu, Qinggang Zhang, Xiaoxuan Wang, Yushi Zhou, Yingying Su

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Data from the All of Us research program reinforces existence of activity inequality by Hayoung Jeong, Ali R. Roghanizad, Hiral Master, Juseong Kim, Aymone Kouame, Paul A. Harris, Melissa Basford, Kayla Marginean, Jessilyn Dunn

“…In this work, we leveraged the comprehensive wearable, demographic, and survey data from the All of Us Research Program, the largest and most diverse population health study in the US to date, to apply and extend the previous global findings on activity inequality within the context of the US. …”
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Consortium-driven rapid software validation for Research Electronic Data Capture (REDCap) by Theresa A. Baker, Teresa Bosler, Adam L.C. De Fouw, Michelle Jones, Paul A. Harris, Alex C. Cheng

“…As a result, there is greater reliance on REDCap, an electronic data capture (EDC) widely used by researchers in these organizations. …”
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Application Research of Cross-Attention Mechanism for Traffic Prediction Based on Heterogeneous Data by Feng Zhihao

“…This cutting-edge model efficiently integrates and analyzes complex spatial-temporal data. Through an analysis of these methods, the research demonstrates how applying advanced deep learning algorithms and cross-attention processes has significantly improved prediction robustness and accuracy. …”
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Research on intelligent vehicle Traffic Flow control algorithm based on data mining by Lihua Cheng, Ke Sun

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Semi-automated data provenance tracking for transparent data production and linkage to enhance auditing and quality assurance in Trusted Research Environments by Katherine O'Sullivan, Milan Markovic, Jaroslaw Dymiter, Bernhard Scheliga, Chinasa Odo, Katie Wilde

“… Introduction We present a prototype solution for improving transparency and quality assurance of the data linkage process through data provenance tracking designed to assist Data Analysts, researchers and information governance teams in authenticating and auditing data workflows within a Trusted Research Environment (TRE). …”
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Addressing the gap in health data management skills: an online self-guided course for researchers and health professionals by Naomi Waithira, Brian Mutinda, Kehkashan Shah, Evelyne Kestelyn, Susan Bull, Liam Boggs, Trudie Lang, Phaik Yeong Cheah

“…Abstract Background The healthcare sector is rapidly evolving with the rise of digital technology and data-driven decision-making. However, traditional medical education has yet to fully integrate training on managing health-related information, resulting in a significant skills gap among medical and research professionals. …”
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Research of ASP service compination model based on workflow by WU Xiao-dong, BU Jia-jun, CHEN Chun

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"Predicting the Movement of Stock Prices Using Technical Analysis Indicators": Applied Research in a Sample of the Shares of Iraqi Private Commercial Banks by Asaad Gheni Jihad, Ahmed Muqdad Ismael

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Creating pragmatic, rapid‐cycle, evidence‐based innovation: The Kaiser Permanente Northern California Delivery Science and Applied Research (DARE) program by Douglas A. Corley, Julie A. Schmittdiel, Smita Rouillard, Yi‐Fen Chen, Tracy A. Lieu

“…Methods This article describes one large‐scale, generalizable model: The Permanente Medical Group's (TPMG) Delivery Science and Applied Research (DARE) program within Kaiser Permanente Northern California. …”
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A novel approach for the effective prediction of cardiovascular disease using applied artificial intelligence techniques by Azka Mir, Attique Ur Rehman, Tahir Muhammad Ali, Sabeen Javaid, Maram Fahaad Almufareh, Mamoona Humayun, Momina Shaheen

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Superstrength permanent magnets with iron-based superconductors by data- and researcher-driven process design by Akiyasu Yamamoto, Shinnosuke Tokuta, Akimitsu Ishii, Akinori Yamanaka, Yusuke Shimada, Mark D. Ainslie

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Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research by Nana Darna, Iwan Setiawan, M. Aziz Basari, Kasman Kasman

“…The selected test tools were analyzed using content analysis techniques to identify the match with the data characteristics. The results showed that the selection of appropriate test tools improved the accuracy and efficiency of statistical analyses, and the strategy applied helped make it easier for researchers to determine the appropriate statistical test tools through clear groupings based on data types and hypotheses. …”
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Research and application of big data platform technology based on multi-centre collaborative computing by RUAN Yilong, XU Xueling, FA Hu, DONG Silun, JIANG Lei, YANG Lei, YAN Yuanyuan

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Research and application of key technologies for data delivery in railway engineering design based on metadata by Xiangru Lyu, Xunxiao Yin, Kun Wang, Yongwen Wei

“…The railway engineering collaborative design platform mainly includes functional modules such as metadata management, design collaboration, design delivery management, model component library, model rendering services, and Building Information Modeling (BIM) application services. Based on this, research is conducted on multi-disciplinary parameterized collaborative design technology for railway engineering, infrastructure data management and delivery technology, and design multi-source data fusion and application technology. …”
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Charting the Growth of Text Summarisation: A Data-Driven Exploration of Research Trends and Technological Advancements by Anukriti Kaushal, Chia-Chen Lin, Rishabh Chauhan, Rajeev Kumar

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Quantum computing enhanced knowledge tracing: Personalized KT research for mitigating data sparsity by Chengke Bao, Qianxi Wu, Weidong Ji, Min Wang, Haoyu Wang

“…However, data sparsity remains a significant challenge in the KT domain. …”
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Research on the optimal operation of a prosumer micro energy network centred on data centres by Yuanshi Zhang, Yiwu Ge, Shunjiang Wang, Weiqi Pan, Yiwen Feng, Peng Qiu

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