Participant Compliance With Ecological Momentary Assessment in Movement Behavior Research Among Adolescents and Emerging Adults: Systematic Review by Shirlene Wang, Chih-Hsiang Yang, Denver Brown, Alan Cheng, Matthew Y W Kwan

“…The platform used for EMA studies could affect compliance and data quality in that studies using smartphones or apps might lessen additional burdens associated with delivering EMAs, yet most studies used web-based formats (n=18, 35%). …”
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Setup of a densely distributed and quality-controlled meteorological sensor network in Pune, India, for urban microclimate research and citizen participation in the context of clim... by N. Eingrüber, W. Korres, U. Löhnert, K. Schneider

“…Despite challenges arising from discontinuous power supply and radio signal interruptions due to sensor wetness during the rainy season in Pune, the data quality shows that the measurement setup is also suitable for tropical monsoon climates. …”
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Cross-Platform Ecological Momentary Assessment App (JTrack-EMA+): Development and Usability Study by Mehran Sahandi Far, Jona M Fischer, Svea Senge, Robin Rathmakers, Thomas Meissner, Dominik Schneble, Mamaka Narava, Simon B Eickhoff, Juergen Dukart

“…This online dashboard offers comprehensive study management tools, including assessment design, user administration, data quality control, and a reminder casting center. …”
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Prevalence of Extended-Spectrum β-Lactamase-Producing Enterobacteriaceae in Ethiopia: A Systematic Review and Meta-Analysis by Teklehaimanot Kiros, Lema Workineh, Tegenaw Tiruneh, Tahir Eyayu, Shewaneh Damtie, Debaka Belete

“…Data extraction form was prepared in Microsoft Excel, and data quality was assessed by using 9-point Joanna Briggs Institute critical appraisal tools. …”
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Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization by Luchen Chang, Jiamei Liu, Jialin Zhu, Shuyue Guo, Yao Wang, Zhiwei Zhou, Xi Wei

“…Despite challenges such as data quality, model interpretability, integration of multi-modal data, and privacy protection, the ongoing advancements in AI, coupled with interdisciplinary collaboration, are poised to further enhance AI’s roles in biomarker discovery and immunotherapy response prediction. …”
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Detecting Deception and Ensuring Data Integrity in a Nationwide mHealth Randomized Controlled Trial: Factorial Design Survey Study by Krista M Kezbers, Michael C Robertson, Emily T Hébert, Audrey Montgomery, Michael S Businelle

“…Implementing systematic deception detection procedures may support study administration, data quality, and participant safety in remotely conducted behavioral research. …”
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Estimated cumulative incidence of intervention by children's social care services to age 18: a whole-of-England administrative data cohort study using the child in need census by Matthew A Jay, Patricio Troncoso, Andy Bilson, Dave Thomson, Richard Dorsett, Rachel Pearson, Bianca De Stavola, Ruth Gilbert

“…Analyses revealed data quality issues before 2011/12. We estimated the above cumulative incidences in three cohorts and combined them, adjusting numerators to account for left-censoring. …”
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Investigating neuropathological correlates of hyperactive and psychotic symptoms in dementia: a systematic review by Giulia Negro, Giulia Negro, Michele Rossi, Camillo Imbimbo, Alberto Gatti, Andrea Magi, Andrea Magi, Ildebrando Marco Appollonio, Ildebrando Marco Appollonio, Alfredo Costa, Alfredo Costa, Tino Emanuele Poloni, Tino Emanuele Poloni

“…Records were screened using PICO software, and data quality was assessed using the Newcastle-Ottawa Scale (NOS) and CARE guidelines. …”
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Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…These include issues related to data quality, such as missing or incomplete datasets, and the generalization ability of ML models across different treatment scenarios. …”
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Methodological challenges using routine clinical care data for real-world evidence: a rapid review utilizing a systematic literature search and focus group discussion by Michelle Pfaffenlehner, Max Behrens, Daniela Zöller, Kathrin Ungethüm, Kai Günther, Viktoria Rücker, Jens-Peter Reese, Peter Heuschmann, Miriam Kesselmeier, Flavia Remo, André Scherag, Harald Binder, Nadine Binder, for the EVA4MII project

“…., operationalization, coding, follow-up, missing data, validation, and data quality). These classifications were then ranked by relevance in a focus group meeting of methodological experts. …”
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Innovación en sueño by Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar

“…Challenges include data quality, patient privacy, and the need for specialized personnel. …”
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Causes of growing middle-to-upper tropospheric ozone over the northwest Pacific region by X. Ma, X. Ma, J. Huang, J. Huang, M. I. Hegglin, M. I. Hegglin, P. Jöckel, T. Zhao

“…Concerns also persist regarding the data quality of the ozonesondes available at the World Ozone and Ultraviolet Radiation Data Centre (WOUDC) for this region. …”
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Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imaging by Lukas Hingerl, Bernhard Strasser, Simon Schmidt, Korbinian Eckstein, Guglielmo Genovese, Edward J. Auerbach, Andrea Grant, Matt Waks, Andrew Wright, Philipp Lazen, Alireza Sadeghi-Tarakameh, Gilbert Hangel, Fabian Niess, Yigitcan Eryaman, Gregor Adriany, Gregory Metzger, Wolfgang Bogner, Małgorzata Marjańska

“…By providing unprecedented spatial and spectral resolution, this technology could offer a unique view into the metabolic intricacies of the human brain, but further technical developments will be necessary to optimize data quality and fully leverage the capabilities of 10.5 T MRSI.…”
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Voice EHR: introducing multimodal audio data for health by James Anibal, James Anibal, Hannah Huth, Ming Li, Lindsey Hazen, Veronica Daoud, Dominique Ebedes, Yen Minh Lam, Hang Nguyen, Phuc Vo Hong, Michael Kleinman, Shelley Ost, Christopher Jackson, Laura Sprabery, Cheran Elangovan, Balaji Krishnaiah, Lee Akst, Lee Akst, Ioan Lina, Iqbal Elyazar, Lenny Ekawati, Stefan Jansen, Richard Nduwayezu, Charisse Garcia, Jeffrey Plum, Jacqueline Brenner, Miranda Song, Emily Ricotta, Emily Ricotta, David Clifton, C. Louise Thwaites, Yael Bensoussan, Bradford Wood

“…Existing technologies depend on limited datasets collected with expensive recording equipment in high-income countries, which challenges deployment in resource-constrained, high-volume settings where audio data may have a profound impact on health equity.MethodsThis report introduces a novel protocol for audio data collection and a corresponding application that captures health information through guided questions.ResultsTo demonstrate the potential of Voice EHR as a biomarker of health, initial experiments on data quality and multiple case studies are presented in this report. …”
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Dental and oral health assessments in the German National Cohort (NAKO) by Stefanie Samietz, Katrin Borof, Katrin Hertrampf, Ghazal Aarabi, Antonio Ciardo, Hannah Finke, Daniel Hagenfeld, Jan Kühnisch, Maurice Rütters, Sebastian-Edgar Baumeister, Stefan Lars Reckelkamm, Ti-Sun Kim, Thomas Kocher, Wolfgang Ahrens, Hermann Brenner, Carina Emmel, Beate Fischer, Amand Führer, Karin Halina Greiser, Jasmin Grischke, Kathrin Günther, Volker Harth, Stefanie Jaskulski, André Karch, Thomas Keil, Yvonne Kemmling, Alexander Kluttig, Lilian Krist, Oliver Kuss, Michael Leitzmann, Claudia Meinke-Franze, Karin B. Michels, Nadia Obi, Anette Peters, Nicole Pischon, Tobias Pischon, Sabine Schipf, Börge Schmidt, Henning Teismann, Stefan Rupf, Birte Holtfreter

“…The aim of the present article is to provide the methodological background, to report on the data quality, and to present initial results of the oral examinations. …”
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The JADES Transient Survey: Discovery and Classification of Supernovae in the JADES Deep Field by Christa DeCoursey, Eiichi Egami, Justin D. R. Pierel, Fengwu Sun, Armin Rest, David A. Coulter, Michael Engesser, Matthew R. Siebert, Kevin N. Hainline, Benjamin D. Johnson, Andrew J. Bunker, Phillip A. Cargile, Stephane Charlot, Wenlei Chen, Mirko Curti, Shea DeFour-Remy, Daniel J. Eisenstein, Ori D. Fox, Suvi Gezari, Sebastian Gomez, Jacob Jencson, Bhavin A. Joshi, Sanvi Khairnar, Jianwei Lyu, Roberto Maiolino, Takashi J. Moriya, Robert M. Quimby, George H. Rieke, Marcia J. Rieke, Brant Robertson, Melissa Shahbandeh, Louis-Gregory Strolger, Sandro Tacchella, Qinan Wang, Christina C. Williams, Christopher N. A. Willmer, Chris Willott, Yossef Zenati

“…Even at z ≥ 2, the NIRCam data quality is high enough to allow SN classification via multiepoch light-curve fitting with confidence. …”
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Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms by Yeliz Karaca, Carlo Cattani, Majaz Moonis, Şengül Bayrak

“…Contrary to previous methods, our method embraces the following assets: (a) not applying the reduction of the stroke datasets’ attributes, leading to an efficient clustering comparison of stroke subtypes with the resulting attributes; (b) detecting attributes that eliminate “insignificant” irregularities while keeping “meaningful” singularities; (c) yielding successful clustering accuracy performance for enhancing stroke data qualities. Therefore, our study is a comprehensive comparative study with stroke datasets obtained from 2D multifractal denoised techniques applied for K-means and FCM clustering algorithms. …”
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