A Nomogram Based on Laboratory Data, Inflammatory Bowel Disease Questionnaire and CT Enterography for Activity Evaluation in Crohn’s Disease by Zhang H, Shen Y, Cao B, Zheng X, Zhao D, Hu J, Wu X

“…Significant differences in AUC were observed between the two models (radiomic signature vs clinical, P = 0.026; radiomic signature vs IBDQ + clinical, P = 0.011; radiomic signature vs combined, P = 0.008; in the validation set).Conclusion: The nomogram, combined with laboratory data, IBDQ and rad-score, presents an accurate and reliable method for assessing CD activity.Clinical Impact: The nomogram enhances the potential for personalized treatment plans and better disease management, making it a valuable tool for clinical practice.Keywords: Crohn’s disease, laboratory data, quality of life, nomogram, CT enterography…”
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Determining the feasibility of linked claims and vaccination data for a COVID-19 vaccine pharmacoepidemiological study in Germany—RiCO feasibility study protocol by Peter Ihle, Brigitte Keller-Stanislawski, Ingo Meyer, Nina Timmesfeld, Robin Denz, Katherina Meiszl, Katrin Scholz, Doris Oberle, Ursula Drechsel-Bäuerle, Hans H Diebner

“…This RiCO feasibility study will establish a data flow combining claims data and vaccination data for a subsample of the total German population, describe data quality for each dataset from the various sources, estimate the proportion of the different linkage errors and will develop various approaches for linking the data in addition to the simple form of linkage using a common identifier in order to reduce possible linkage errors. …”
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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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Building a Digital Health Research Platform to Enable Recruitment, Enrollment, Data Collection, and Follow-Up for a Highly Diverse Longitudinal US Cohort of 1 Million People in the... by Dave Klein, Aisha Montgomery, Mark Begale, Scott Sutherland, Sherilyn Sawyer, Jacob L McCauley, Letheshia Husbands, Deepti Joshi, Alan Ashbeck, Marcy Palmer, Praduman Jain

“…Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used. …”
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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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NutriBase – management system for the integration and interoperability of food- and nutrition-related data and knowledge by Eva Valenčič, Eva Valenčič, Eva Valenčič, Eva Valenčič, Emma Beckett, Emma Beckett, Emma Beckett, Tamara Bucher, Tamara Bucher, Clare E. Collins, Clare E. Collins, Barbara Koroušić Seljak, Barbara Koroušić Seljak

“…It can help create and maintain the quality management system needed to assure data quality. Newly generated data and knowledge can continuously be added, as interoperability with other systems is enabled. …”
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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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Bibliometric analysis of laryngeal cancer treatment literature (2003–2023) by Yan Zhao, Jiancheng Xue

“…After narrowing the scope to English-language publications, this number was reduced to 775. To ensure data quality, conference papers, letters, and editorial materials were excluded, focusing only on original research papers and review articles. …”
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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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A flux tower site attribute dataset intended for land surface modeling by J. Shi, H. Yuan, W. Lin, W. Dong, H. Liang, Z. Liu, J. Zeng, H. Zhang, N. Wei, Z. Wei, S. Zhang, S. Liu, X. Lu, Y. Dai

“…However, currently available flux tower datasets often require multiple aspects of processing to ensure data quality before application to LSMs. More importantly, these datasets frequently lack site-observed attribute data, such as fractional vegetation cover and leaf area index, which limits their utility as benchmarking data. …”
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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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Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program by B. Juhls, A. Morgenstern, J. Hölemann, A. Eulenburg, B. Heim, F. Miesner, F. Miesner, H. Grotheer, H. Grotheer, G. Mollenhauer, G. Mollenhauer, H. Meyer, E. Erkens, E. Erkens, F. Y. Gehde, S. Antonova, S. Chalov, S. Chalov, M. Tereshina, O. Erina, E. Fingert, E. Abramova, T. Sanders, L. Lebedeva, N. Torgovkin, G. Maksimov, V. Povazhnyi, R. Gonçalves-Araujo, U. Wünsch, A. Chetverova, A. Chetverova, S. Opfergelt, P. P. Overduin

“…Sampling consistency and continuity and data quality were ensured through simple sampling protocols, real-time communication, and collaboration with local and international partners. …”
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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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