Reproducibility: meaning, definitions and examples

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reproducibility

[ ˌriːprəˌdjuːsəˈbɪlɪti ]

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scientific research

The extent to which a study or experiment can be repeated by other researchers and yield similar results. Reproducibility is a key aspect of the scientific method.

Synonyms

repeatability, replicability

Examples of usage

The reproducibility of the experiment was confirmed by multiple research groups.
Ensuring reproducibility in scientific studies is essential for building a strong body of knowledge.

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data analysis

The ability to obtain consistent results when reanalyzing the same data or running the same statistical tests. Reproducibility is important in ensuring the reliability of research findings.

Synonyms

consistency, reliability

Examples of usage

The reproducibility of the data analysis was crucial for validating the study's conclusions.
Researchers emphasized the importance of reproducibility in their statistical analysis.

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software development

The ability of a software system to consistently produce the same output given the same input. Reproducibility is critical for ensuring the reliability of software applications.

Synonyms

consistency, predictability

Examples of usage

Developers focused on ensuring reproducibility in the software to prevent unexpected errors.
The team prioritized reproducibility in their coding practices for better quality control.

Translations

Translations of the word "reproducibility" in other languages:

🇵🇹 reprodutibilidade

🇮🇳 पुनरुत्पादकता

🇩🇪 Reproduzierbarkeit

🇮🇩 reproduksibilitas

🇺🇦 відтворюваність

🇵🇱 powtarzalność

🇯🇵 再現性 (さいげんせい)

🇫🇷 reproductibilité

🇪🇸 reproducibilidad

🇹🇷 tekrarlanabilirlik

🇰🇷 재현 가능성

🇸🇦 قابلية التكرار

🇨🇿 reprodukovatelnost

🇸🇰 reprodukovateľnosť

🇨🇳 可重复性

🇸🇮 ponovljivost

🇮🇸 endurtekningarhæfni

🇰🇿 қайталанушылық

🇬🇪 რეპროდუცირებადობა

🇦🇿 təkrarolunma qabiliyyəti

🇲🇽 reproducibilidad

Word origin

The term 'reproducibility' originated in the field of scientific research to emphasize the importance of being able to replicate experiments and studies. It has since been adopted in other domains such as data analysis and software development to highlight the significance of obtaining consistent and reliable results. The concept of reproducibility aligns with the principles of transparency and robustness in research and technology.