5,191
Views
21
CrossRef citations to date
0
Altmetric
REGULAR ARTICLES

A framework for effective knowledge translation and performance delivery of Sport Scientists in professional sport

ORCID Icon & ORCID Icon
Pages 1579-1587 | Published online: 29 Nov 2020
 

Abstract

Sport Science is considered the study and application of scientific principles and techniques to improve sporting performance. Thus, a key role of the Sport Scientist is to translate complex information into usable and contextual performance solutions for a range of different stakeholders. These stakeholders consist of athletes, coaches, recruiting, performance support, medical, administration and operations staff and have varying interests and priorities meaning the information required can be vastly different. In addition to these different needs, sport is fast-moving, diverse and complex meaning there are a number of potential translational barriers. Sport Science training programmes entail the development of technical knowledge and practical skills; however, little is considered in view of interpersonal craft skill development and knowledge translation (KT). Given the reported barriers and challenges to effective KT in sport, this lack of specific training may render KT as ineffective and suboptimal. Accordingly, in this article, we propose a framework and work-based training model with the aim of developing the KT process and performance delivery of Sport Scientists operating in professional sport. Firstly, we define the current perspectives and challenges for Sport Scientists in the context of KT, before proposing a framework that focusses on Evidence-Based-Practice, Philosophy, Recipients and Facilitation, in which Sport Scientists can use to develop their interpersonal craft and subsequent KT approach. We finish by presenting a model of sport science practitioner training; the professional sport-doctoral training programme, that combined with the framework, can be effective in developing Sport Scientists.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.