Argos DMP outputs
Published July 24, 2024 | Version 2
Output management plan Restricted

Project: "Smart textile solutions as biofeedback method for injury prevention for Latvian football youth league players (Nr. lzp-2023/1-0027)"

Authors/Creators

  • 1. Vidzeme University of Applied Sciences, Riga Technical University, Riga Stradins University

Contributors

  • 1. Vidzeme University of Applied Sciences, Riga Technical University, Riga Stradins University
  • 2. orcid

Description

The Data Management Plan (DMP) is designed for the project titled "Smart Textile Solutions as Biofeedback Method for Injury Prevention for Latvian Football Youth League Players." The project aims to develop a biofeedback method using the DAid® smart socks system within a preventive exercise program (FIFA 11+) for youth football league players in Latvia. The objective is to evaluate the effectiveness of this method in enhancing functional outcomes and reducing the risk of injuries among the targeted population.
The project operates in the context of leveraging smart textile solutions, specifically the DAid® smart socks system, to integrate biofeedback technology into a preventive exercise program tailored for youth football league players in Latvia. This context underscores the use of cutting-edge technology to proactively address injury prevention and optimize the overall well-being and performance of young athletes.
The DMP serves as a strategic document outlining the systematic management of research data generated throughout the project. This encompasses data related to biofeedback metrics from the DAid® smart socks system, exercise program results, functional outcomes, and injury incidence data. The overarching purpose is to ensure the ethical, secure, and transparent handling of this data, with a commitment to adhering to the FAIR principles (Findable, Accessible, Interoperable, and Reusable).
The DMP explicitly incorporates the FAIR principles to guide the comprehensive management of data throughout its lifecycle. This involves making the data Findable through meticulous metadata and identifiers, ensuring Accessibility through secure storage and thorough documentation, promoting Interoperability through the utilization of standard formats and protocols, and facilitating Reusability for broader scientific inquiry.
By integrating the FAIR principles, the DMP emphasizes responsible data stewardship, encouraging data sharing, collaboration, and the potential for future use in related studies. This aligns with best practices in open science, underscoring the significance of promoting transparency and accessibility within the realm of sports science and injury prevention methodologies for youth football league players in Latvia.

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