Developing a data pricing framework for data exchange by Rupsa Majumdar, Anjula Gurtoo, Minnu Maileckal

“…Application of the Ritchie and Spencer stages identifies eight factors, namely customer need, customer assigned value, market maturity, market structure, usable data, data quality, seller reputation and seller objectives as defining and intersecting with the five pricing models. …”
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Linking Animal Feed Formulation to Milk Quantity, Quality, and Animal Health Through Data-Driven Decision-Making by Oreofeoluwa A. Akintan, Kifle G. Gebremedhin, Daniel Dooyum Uyeh

“…However, despite its potential, the widespread adoption of data-driven feed formulation faces challenges such as data quality, technological limitations, and industry resistance, mostly disjointed processes. …”
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A Comprehensive Methodological Review of Major Developments in Bioinformatics Pipelines for Transcriptomic Data Analysis by Awais ALi, Syed Luqman Ali, Abdelkarem Omneya

“…Results: We examine how well different methods work under various experimental conditions and discuss important factors such as data quality, sequence alignment, data visualization, identifying gene expression differences, and data standardization. …”
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A Novel User Selection Strategy with Incentive Mechanism Based on Time Window in Mobile Crowdsensing by Xuemei Sun, Xiaorong Yang, Caiyun Wang, Jiaxin Wang

“…In addition, the updating strategy of participants’ credit value is added, and the credit value of participants is updated according to their willingness to participate in the task and data quality. Finally, simulation experiment verifies that the incentive mechanism and participant selection method proposed in this paper have good performance.…”
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Derived datasets of daily weather, near surface soil status, flow rates and concentrations of nitrogen species from the North Wyke farm platform, EnglandZenodo by Yusheng Zhang, Jane Hawkins, Hadewij Sint, Adrian L. Collins

“…Released data spanning 2013 to 2024 for 6 selected field catchments were aggregated to daily timestep, with reference to data quality flags, to produce continuous weather data, including maximum and minimum air temperature, daily total rainfall, wind speed and quality assured daily average soil moisture content, soil temperature at 15 cm depth, runoff rates, as well as nitrate, nitrite and ammonium concentrations. …”
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An End-to-End Ocean Environmental Noise Anomaly Detection Framework Combining Time–Frequency Information and Expert Gating by Libin Du, Mingyang Liu, Zhichao Lv, Chuanhe Tan, Junkai He, Fei Yu

“…Finally, an anomaly optimization module is developed to improve data quality, enabling efficient noise anomaly detection and optimization. …”
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Revolutionizing Management Accounting: The Role of Artificial Intelligence in Predictive Analytics, Automated Reporting, and Decision-Making by Milos Pavlovic, Cedomir Gligoric, Filip Zdravkovic, Danijela Pavlovic

“…However, successful implementation must address challenges related to data quality, system integration, and regulatory compliance. …”
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Examining information needs of public data service users: a study based on the ‘Message Board for Leaders of People’s Daily in China’ by Xiaoyue Zhang, Jinya Liu, Xinyue Wang, Wanteng Ma, Pu Yan

“…Government departments should ensure public data quality and facilitate efficient data circulation processes. …”
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Impact of phytochemical-based hydrocolloid dressings on wound healing: A comparative review by Sipho Sibanda, Mapula Razwinani, Keolebogile Shirley Motaung

“…Data appraisal was done by an analysis of the data quality by the authors. Results: Of a total of 866 records identified, 4 qualified for further assessment. …”
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A mixed-methods systematic review of mental health activities among urban left-behind children in mainland China by Siyu Long, Siyu Long, Zainal Bin Madon, Noris Mohd Norowi, Mei Foong Ang

“…The facilitators were parents and activity design.ConclusionThis review revealed that some studies suffered from poor data collection methods and data quality. Studies on services for mental health in urban left-behind children requires methodologically robust study designs for broader dissemination and rigorous evaluation.Systematic review registrationPROSPERO, CRD42023384078, available from: https://www.crd.york.ac.uk/prospero/display_record.php?…”
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Lessons learned from syndemic HIV research in an immigrant, latinx sexual and gender minority community by Nicholas Metheny, Dalton Scott, Sandor Santana, Rosa Pache

“…By drawing inferences from study data and contextualizing these with community partners, we learned: (1) Large parts of the target community may be unfamiliar with the underlying constructs captured in important HIV-related measures; (2) Cash incentives may shift motivation from intrinsic to extrinsic and lead to poorer data quality; (3) Deviations in Spanish go beyond vocabulary used in different Latin American countries, and more formal Spanish may relay concepts in unfamiliar ways that are unapproachable; and (4) community members may be unfamiliar with survey data collection processes and the protections in place to ensure confidentiality. …”
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Short-Term Power Prediction of Building Integrated Photovoltaic (BIPV) System Based on Machine Learning Algorithms by R. Kabilan, V. Chandran, J. Yogapriya, Alagar Karthick, Priyesh P. Gandhi, V. Mohanavel, Robbi Rahim, S. Manoharan

“…The proposed prediction methodology comprises a data quality stage, machine learning algorithm, weather clustering assessment, and an accuracy assessment. …”
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The Development of Learning Environment Based on Learning Materials in EFL Speaking Class by Nyak Mutia Ismail, Marisa Yoestara

“…This study was qualitative in nature where the data quality was the key point measurement for further steps in finding the answer(s) to the research question. …”
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Digitalized Optical Sensor Network for Intelligent Facility Monitoring by Esther Renner, Lisa-Sophie Haerteis, Joachim Kaiser, Michael Villnow, Markus Richter, Torsten Thiel, Andreas Pohlkötter, Bernhard Schmauss

“…The realized network services promote sensor data quality, fusion, and modeling, expanding opportunities using digital twin technology.…”
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What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection by Lu Liang, Jacob Daniels

“…The surge in its use has sparked new research interests in understanding its data quality. Many studies have employed field calibration to improve sensor agreement with co-located reference monitors. …”
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Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence by Yi-Ming Chen, Tzu-Hung Hsiao, Ching-Heng Lin, Yang C. Fann

“…However, challenges such as data quality, privacy, and clinician trust must be navigated for successful implementation. …”
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A Machine Learning Approach for Environmental Assessment on Air Quality and Mitigation Strategy by Chetan Shetty, S. Seema, B. J. Sowmya, Rajesh Nandalike, S. Supreeth, Dayananda P., Rohith S., Vishwanath Y., Rajeev Ranjan, Venugopal Goud

“…Predicting air pollution is a complex task due to various challenges associated with the dynamic and multifaceted nature of the atmosphere such as meteorological variability, local emissions and sources, data quality and availability, and emerging pollutants. …”
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Evaluation of care and clinical outcomes after the implementation of an electronic medical record system for type 1 diabetes management in Rwanda by Nathalie Bille, Dirk Lund Christensen, Knut Borch-Johnsen, Crispin Gishoma, Stine Byberg

“…However, the impact on data quality, quality of care and clinical outcomes for type 1 diabetes (T1D) in sub-Saharan Africa (SSA) has not yet been explored. …”
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Matched pairs demonstrate robustness against inter-assay variability by Jochem Nelen, Horacio Pérez-Sánchez, Hans De Winter, Dries Van Rompaey

“…These results establish a benchmark for expected noise in matched molecular pair data from the ChEMBL database, offering practical metrics for data quality assessment.…”
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Species distribution modelling using MaxEnt: overview and prospects by Yuliia Novoseltseva

“…In particular, it analyzes the impact of data quality on modeling results and considers various approaches to assessing the importance of ecological factors for species distribution. …”
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