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
- Aaron T. Gudmundson (ORCID: https://orcid.org/0000-0001-5104-0959)
- Dunja Simičić (ORCID: https://orcid.org/0000-0002-6600-2696)
- Antonia Šušnjar (ORCID: https://orcid.org/0000-0002-4973-5548)
- Antonia Kaiser (ORCID: https://orcid.org/0000-0001-7805-6766)
- Gianna Nossa
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