TY - JOUR
T1 - Open and reproducible research in musculoskeletal imaging
T2 - why it matters and how to implement it with the guidelines of the Open and Reproducible Musculoskeletal Imaging Research (ORMIR) community
AU - Bonaretti, Serena
AU - Barzegari, Mojtaba
AU - Bevers, Melissa
AU - Boyd, Steven
AU - Burghardt, Andrew J.
AU - Cameron, Donnie
AU - Chiumento, Francesco
AU - Crimi, Gianluigi
AU - Degenhart, Gerald
AU - Durongbhan, Pholpat
AU - Espinosa Hernandez, Michelle Alejandra
AU - Fraterrigo, Giulia
AU - Ghasem-Zadeh, Ali
AU - Grassi, Lorenzo
AU - Hirvasniemi, Jukka
AU - Hosseinitabatabaei, Seyedmahdi
AU - Iori, Gianluca
AU - Kok, Joeri
AU - Kuczynski, Michael
AU - Lee, Youngjun
AU - Liberati, Cecilia
AU - Manske, Sarah
AU - Mccormick, Matt
AU - Monzon, Maria
AU - Pani, Martino
AU - Poncioni, Simone
AU - Quintiens, Jilmen
AU - Rauber, Sabine
AU - Ritsche, Paul
AU - Dario Santamaria, Alfonso
AU - Santini, Francesco
AU - Sarto, Fabio
AU - Schileo, Enrico
AU - Stadelmann, Vincent
AU - Stok, Kathryn S.
AU - Surowiec, Rachel
AU - Taddei, Fulvia
AU - Vicory, Jared
AU - Walle, Matthias
AU - Wesseling, Mariska
AU - Whittier, Danielle
AU - Willie, Bettina
AU - Wong, Andy Kin On
AU - Zukic, Dzenan
PY - 2026/4/1
Y1 - 2026/4/1
N2 - 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.The Open and Reproducible Musculoskeletal Imaging Research community promotes openness and reproducibility in musculoskeletal imaging research. In this perspective paper, we explain why transparency matters and recommend how to conduct a computational study in an open and reproducible manner, focusing on its three outputs: data, code, and the publication. Finally, we highlight that the best way to learn these practices is simply to start.
AB - 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.The Open and Reproducible Musculoskeletal Imaging Research community promotes openness and reproducibility in musculoskeletal imaging research. In this perspective paper, we explain why transparency matters and recommend how to conduct a computational study in an open and reproducible manner, focusing on its three outputs: data, code, and the publication. Finally, we highlight that the best way to learn these practices is simply to start.
KW - Open research
KW - reproducible research
KW - data sharing
KW - open-source code
KW - computational narratives
KW - guidelines
KW - license
KW - ORMIR
U2 - 10.1093/jbmrpl/ziag025
DO - 10.1093/jbmrpl/ziag025
M3 - Article
SN - 2473-4039
VL - 10
JO - JBMR plus
JF - JBMR plus
IS - 4
M1 - ziag025
ER -