Highlights
- •A structured development workflow improves efficiency and ensures quality.
- •The development process must consider all potential end-users to ensure usability.
- •Implementation of this framework facilitates movement science lab collaboration.
Abstract
Background
Technological advancements have generated more opportunities to develop/distribute
custom data analysis codes (e.g., automated events, biomechanical models, etc.). Industry
standards for the code development process is regularly modeled to ensure product
quality and usability. Procedural project management improves efficiency of the code
development process by monitoring project planning, duration, analysis, success, and
maintenance. The purpose of this study was to outline in the form of guidance to research
labs, a framework that standardizes the development, management, testing, and documentation
of various types of data analysis codes, utilized in the motion analysis laboratory
setting.
Methods
This brief report outlines the workflow, briefly highlights its success a year after
implementation, and provides a framework that can be adopted across laboratories of
different sizes and those involved in multi-center collaborative studies. Specifically,
the workflow outlined is initiated when a requestor has identified the need for a
custom data analysis code. The workflow is complete and the code is released once
the results of testing performed by a non-affiliated user, verifies that the code
project workflow was followed appropriately, confirms a standard operating procedure
has been finalized, and ensures the requestor and additional end-users are satisfied
with the final product.
Findings
Guidance documents and optimization of workflows are imperative for motion analysis
laboratories managing numerous coding projects.
Interpretation
Implementation of the proposed framework is an effective approach to reduce workload,
by minimizing redundancies, maximizing on the research team's expertise and promotes
collaborative input which in turn allows for feedback along the process.
Keywords
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References
- Improving the quality of software development process by introducing a new methodology-AZ-model.IEEE Access. 2017; 6: 4811-4823
- Project Management: The Managerial Process.2011
- A comparison between five models of software engineering.Int. J. Comput. Sci. Issues. 2010; 7: 94
- Automated event detection algorithm for two squatting protocols.Gait Posture. 2018; 59: 253-257
- Validation of accelerometry data to identify movement patterns during agility testing.Front. Sports Active Living. 2020; 2
- Clinically derived biomechanical criteria for the Trendelenburg test.Clin. Biomech. 2020; 78
Article info
Publication history
Published online: February 16, 2023
Accepted:
February 13,
2023
Received:
December 12,
2022
Identification
Copyright
© 2023 Elsevier Ltd. All rights reserved.
