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Orientador(es)
Resumo(s)
Exercise and sports sciences continue to grow as a
collective of disciplines exploring a broad array of basic and
applied research questions (1, 2) with a notable shift from
traditional laboratory settings to data collection in real-world
sports environments (1-4). This transition is determined by
the recognition that lab-based studies, while valuable, often
do not fully capture the complexities and dynamics of
contextual parameters of sports performance (3-6). Real world data offers a comfortable, more nuanced
understanding of the factors influencing athletic
performance. For instance, studying athletes in their natural
training environments can provide insights into how
different training regimens affect performance, or how
athletes respond to environmental stressors (4, 7). Applied
research utilizing the Real-world data methodology explores
physical performance and health in depth, leading to novel
methods for improving athletic talents. A new paradigm has
emerged that emphasizes the analysis of data obtained from
training to make inferences and identify practical
applications (3, 4). This paradigm advocates for a
multidisciplinary approach to sports research (1).
Unfortunately, this approach is not without its difficulties
and challenges (4). Collecting data in the field requires careful consideration of methodological rigor, ensuring that
the data gathered is both accurate and relevant (4, 5, 8). For
example, when monitoring an athlete’s response during a
competition or training, researchers must consider factors
like the invasiveness of data collection methods and their
potential impact on performance (2, 8). Additionally, the
variability of external conditions and covariables such as
weather, and equipment differences can introduce
complexities in data interpretation (9). It's essential to
account for these factors to ensure the conclusions drawn are
valid and reflect the true performance dynamics (2, 8, 9).
This editorial aimed to (i) establish a comprehensive
framework for research methodology in applied exercise and
sports sciences, (ii) discuss the benefits of field-based data
collection for providing contextually relevant insights into
athletic performance, and (iii) address the practical and
ethical challenges in this research area, offering strategies to
manage these issues and advocating for realistic,
multidisciplinary applied research in sports science.
Descrição
Palavras-chave
athletic performance data integration empirical research field studies methodology performance analysis research innovation training optimization
Contexto Educativo
Citação
Fessi MS, Oliviera, RFS. Integrating Real-World Field Data in Sports Science Research: A Call to Action for a Scientific Research Perspective Transition. Tun Journal Sport Science,1(1):4-7.
Editora
KMANPUB
