Reproducibility Made Easy: A Tool for Methodological Transparency & Efficient Standardized Reporting based on the proposed MRSinMRS Consensus

Motivation: Several consensus papers by MRS experts have addressed data collection, analysis, and reporting standards. Despite this, the usage of the MRSinMRS standardized reporting criteria remain sparsely utilized, impeding research rigor and reproducibility. Goal(s): To overcome this, the ‘’Reproducibility Made Easy’’ software automates table population and methods section generation, streamlining the process with a single raw dataset, removing manual data entry. Approach: We propose a tool that automatically creates a table from a single MRS raw data file, to make the process of adhering to reproducibility standards easy. Results: The open-source ‘’Reproducibility Made Easy’’ tool can be found here: https://github.com/agudmundson/mrs_in_mrs. Impact: Integrating the MRSinMRS Consensus Table faces challenges in parameter location within DICOM headers or MRS raw files due to nomenclature variations. "Reproducibility Made Easy" software addresses these issues, enhancing methodological transparency and standardization in research, aligning with MRSinMRS consensus principles.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/1868
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Reproducibility Made Easy: A Tool for Methodological Transparency & Efficient Standardized Reporting based on the proposed MRSinMRS Consensus

Aaron T. Gudmundson, Dunja Simičić, Antonia Šušnjar, Antonia Kaiser et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Biomedical Text Mining and Ontologies
article

Reproducibility Made Easy: A Tool for Methodological Transparency & Efficient Standardized Reporting based on the proposed MRSinMRS Consensus

Aaron T. Gudmundson, Dunja Simičić, Antonia Šušnjar, Antonia Kaiser, Gianna Nossa
article en

Abstract

Motivation: Several consensus papers by MRS experts have addressed data collection, analysis, and reporting standards. Despite this, the usage of the MRSinMRS standardized reporting criteria remain sparsely utilized, impeding research rigor and reproducibility. Goal(s): To overcome this, the ‘’Reproducibility Made Easy’’ software automates table population and methods section generation, streamlining the process with a single raw dataset, removing manual data entry. Approach: We propose a tool that automatically creates a table from a single MRS raw data file, to make the process of adhering to reproducibility standards easy. Results: The open-source ‘’Reproducibility Made Easy’’ tool can be found here: https://github.com/agudmundson/mrs_in_mrs. Impact: Integrating the MRSinMRS Consensus Table faces challenges in parameter location within DICOM headers or MRS raw files due to nomenclature variations. "Reproducibility Made Easy" software addresses these issues, enhancing methodological transparency and standardization in research, aligning with MRSinMRS consensus principles.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Gender equality
Openalex Percentile: Top 81%
Biomedical Text Mining and Ontologies
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Reproducibility Made Easy: A Tool for Methodological Transparency & Efficient Standardized Reporting based on the proposed MRSinMRS Consensus — Aaron T. Gudmundson, Dunja Simičić, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS