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Differential Ratings of Perceived Exertion: Relationships With External Intensity and Load in Elite Men’s Football

Kobe C. Houtmeyers, Pieter Robberechts, Arne Jaspers, Shaun J. McLaren, Michel S. Brink, Jos Vanrenterghem, Jesse J. Davis, and Werner F. Helsen

the association between these session types and dRPE DIFF . Insights from our exploratory study help assessing the utility of employing dRPE for monitoring the internal intensity and load in football. Methods Participants This study included data from 55 elite male outfield players belonging to 2

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Next-Generation Models for Predicting Winning Times in Elite Swimming Events: Updated Predictions for the Paris 2024 Olympic Games

Iñigo Mujika, David B. Pyne, Paul Pao-Yen Wu, Kwok Ng, Emmet Crowley, and Cormac Powell

considering that, since their publication, both models could be strengthened by the addition of more recently available data, the aims of this investigation were 2-fold: (1) to assess the accuracy of the 2 most recent predictive performance models by comparing their respective predictive ability with the

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The Future of Work: What It Is and How Our Resilience in the Face of It Matters

Suri Duitch

the efficiency of breathing with every step, and artificial intelligence that reads big data sets across populations and accurately scans for patterns and anomalies to improve diagnostic work. In general, talking about the future of work and about how to prepare students for that future is daunting

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Big Data and Innovative Research Methods

Yoseph Z. Mamo

Big data and innovative research methods are two rapidly evolving trends that are transforming how we conduct research in sport management. Innovative research methods refer to emerging technologies to conduct research that deviate from conventional techniques such as natural language processing

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Big Data and Analytics in Sport Management

Nicholas M. Watanabe, Stephen Shapiro, and Joris Drayer

In 2003, Michael Lewis ( 2003 ) published Moneyball: The Art of Winning an Unfair Game , which forever changed the role of data in decision making in sport. However, the concepts presented in the book were not new, even in the context of baseball player evaluation. According to the Society for

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Prediction Strength for Clustering Activity Patterns Using Accelerometer Data

Jingzhi Yu, Kristopher Kapphahn, Hyatt Moore, Farish Haydel, Thomas Robinson, and Manisha Desai

Unsupervised clustering is a machine learning method frequently applied to sequential or longitudinal data to provide clinical or biomedical insights. For example, clustering has been applied to physical activity data recorded by accelerometers ( Dobbins & Rawassizadeh, 2018 ; Jones et al., 2021

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University Student’s Perceptions of Self-Tracking Devices, Data Privacy, and Sharing Digital Data for Research Purposes

Marianne I. Clark and Matthew W. Driller

Institutional Review Boards (IRBs) alike must grapple with decisions on how to responsibly select and use digital technologies for data collection purposes. For example, concerns related to privacy, anonymity, risk, data collection and management, and informed consent take on new and nuanced dimensions

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A Practical Guide to Collaborative Qualitative Data Analysis

K. Andrew R. Richards and Michael A. Hemphill

education is no exception ( Hemphill, Richards, Templin, & Blankenship, 2012 ; Rhoades, Woods, Daum, Ellison, & Trendowski, 2016 ). Proponents of collaborative data analysis note benefits related to integrating the perspectives provided by multiple researchers, which is often viewed as one way to enhance

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Synthetic Data as a Strategy to Resolve Data Privacy and Confidentiality Concerns in the Sport Sciences: Practical Examples and an R Shiny Application

Mitchell Naughton, Dan Weaving, Tannath Scott, and Heidi Compton

, among others. 1 , 2 Indeed, a recent Australian Academy of Science report investigating data governance in sport noted that there has been an “... explosion in the amount of data being generated and in the number of parties who have taken an interest ...” in sporting data. 3 Such data are of interest

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Monitoring Elite Soccer Players’ External Loads Using Real-Time Data

Steve Barrett

activities. 1 However, limited data is available on the reliability and the error of the measurement when monitoring variables in real-time (RT) compared to the postevent download (PED). External load metrics are commonly reported and downloaded immediately after the event. The PED method reduces