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Three Developmental Domains

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Human development is typically examined across three main domains: physical, cognitive, and socio-emotional. These domains represent the significant areas of change and continuity throughout the lifespan, from infancy to late adulthood.
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Updated: May 21, 2026

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

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Published on: October 4, 2015

Beyond Boundaries: Data Sharing in Motor Development Research-Best Practices, Challenges, and Opportunities.

Claudia Niessner¹, Nicholas E Fears², Katja Keller¹

¹Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.

Journal of Motor Learning and Development

|May 20, 2026

Summary

Sharing motor development data enhances research transparency and reproducibility. Challenges include data protection, diverse methods, and costs, requiring structured frameworks and standardized protocols for effective data exchange.

Keywords:

child development motor performance open data

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Area of Science:

Motor Development Research
Scientific Data Sharing

Background:

Data sharing is crucial for scientific transparency, reproducibility, and collaboration.
Motor development research faces unique challenges due to resource-intensive data collection and privacy concerns for child participants.

Purpose of the Study:

To outline best practices for data sharing in motor development research.
To highlight successful data-sharing initiatives and discuss challenges and opportunities.

Main Methods:

Review of data sharing principles and challenges in motor development.
Case study analysis of the MO|RE data repository and the COMBINE Project.

Main Results:

Data sharing in motor development is hindered by privacy regulations, data fragmentation, and varied methodologies.
Structured frameworks, technical infrastructure, and standardized protocols are essential for overcoming these barriers.

Conclusions:

Effective data sharing in motor development requires strategic planning, technological solutions, and adherence to standardized protocols.
Implementing best practices can significantly advance knowledge and improve methodologies in the field.