Open and reproducible research in musculoskeletal imaging: why it matters and how to implement it with the guidelines of the Open and Reproducible Musculoskeletal Imaging Research (ORMIR) community.
The Open and Reproducible Musculoskeletal Imaging Research community is a scientific community dedicated to promoting openness and reproducibility in musculoskeletal imaging, image processing, and computational modeling. In this perspective paper, we outline the motivations for conducting transparent research and provide practical guidelines for implementing it. We start by defining open and reproducible research and describing the benefits and challenges of working transparently. Next, we redefine the outputs of a computational research study as-ideally-a combination of data, code, and a publication, recommend a folder and file structure that reflects these three study outcomes, and describe how to maintain and update such a structure during the study and at study publication. Finally, we emphasize that working in an open and reproducible manner is a learning process, and the best way to acquire the necessary competencies is simply to start.
Authors
- Danielle E. Whittier (ORCID: https://orcid.org/0000-0003-3602-551X)
- Donnie Cameron (ORCID: https://orcid.org/0000-0001-9841-6909)
- Cecilia Liberati (ORCID: https://orcid.org/0000-0002-0821-5757)
- Steven K. Boyd (ORCID: https://orcid.org/0000-0002-2930-5997)
- Matthias Walle (ORCID: https://orcid.org/0000-0003-3250-8143)
- Mariska Wesseling (ORCID: https://orcid.org/0000-0002-3347-2130)
- Gerald Degenhart (ORCID: https://orcid.org/0000-0002-9961-1084)
- Seyedmahdi Hosseinitabatabaei (ORCID: https://orcid.org/0000-0002-5638-976X)
- Giulia Fraterrigo (ORCID: https://orcid.org/0000-0003-4934-902X)
- Jukka Hirvasniemi (ORCID: https://orcid.org/0000-0001-9278-4719)
- Melissa S. A. M. Bevers
- Gianluigi Crimi
- Sarah L. Manske (ORCID: https://orcid.org/0000-0003-0888-9556)
- Andy Kin On Wong (ORCID: https://orcid.org/0000-0001-8540-8854)
- Joeri Kok (ORCID: https://orcid.org/0000-0002-4997-2885)
- Enrico Schileo (ORCID: https://orcid.org/0000-0003-3515-1231)
- Lorenzo Grassi (ORCID: https://orcid.org/0000-0001-7824-9947)
- Fulvia Taddei (ORCID: https://orcid.org/0000-0002-8342-7434)
- Fabio Sarto (ORCID: https://orcid.org/0000-0001-8572-5147)
- Mojtaba Barzegari (ORCID: https://orcid.org/0000-0002-1456-0610)
- Pholpat Durongbhan (ORCID: https://orcid.org/0000-0002-5164-3482)
- Michael T. Kuczynski (ORCID: https://orcid.org/0000-0001-5671-1205)
- Kathryn S. Stok (ORCID: https://orcid.org/0000-0002-0522-4180)
- Jilmen Quintiens (ORCID: https://orcid.org/0000-0003-2007-9329)
- Gianluca Iori
- Matt McCormick
- Francesco Chiumento
- Simone Poncioni
- Sabine Räuber
- Francesco Santini (ORCID: https://orcid.org/0000-0001-6984-4816)
- Bettina M. Willie
- Maria Monzon
- Paul Ritsche
- Martino Pani
- Vincent Stadelmann
- YoungJun Lee
- Rachel Surowiec
- Ali Ghasem-Zadeh
- Jared Vicory
- Dženan Zukić
- Alfonso Dario Santamaria
- Serena Bonaretti
- Michelle Alejandra Espinosa Hernandez
- Andrew J Burghardt
Institutions
- Biomechanics Institute of Valencia (ES)
Publication Details
- Journal
- Open Access CRIS of the University of Bern
- Published
- 2026-03-26
- DOI
- https://doi.org/10.48620/96457
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00