Community‐organized resources for reproducible MRS data analysis

Brian J. Soher; William T. Clarke; Martin Wilson; Jamie Near; Georg Oeltzschner

doi:10.1002/mrm.29387

Community‐organized resources for reproducible MRS data analysis

Brian J. Soher, William T. Clarke, Martin Wilson, Jamie Near, Georg Oeltzschner^*

^*Corresponding author for this work

Psychology

Research output: Contribution to journal › Letter › peer-review

80 Downloads (Pure)

Abstract

In 2021, the de facto gold-standard in vivo MRS analysis software, LCModel,1 transitioned from proprietary/paid to an open-source/free model. For 29 years, this software has fulfilled the demand for robust analysis workflows, while at the same time restricting access and dissuading continued development. We argue that this moment represents a golden opportunity for MRS developers and users to transition toward collaborative community-sourced workflows and datasets.

Original language	English
Pages (from-to)	1959-1961
Number of pages	3
Journal	Magnetic Resonance in Medicine
Volume	88
Issue number	5
Early online date	18 Jul 2022
DOIs	https://doi.org/10.1002/mrm.29387
Publication status	Published - Nov 2022

Bibliographical note

Funding Information:
All authors contributed equally to this letter.

Access to Document

10.1002/mrm.29387

SoherB2022Community
This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
Accepted author manuscript, 403 KBLicence: Other (please specify with Rights Statement)

Cite this

@article{0021a32123c045aa8275841c4d126099,

title = "Community‐organized resources for reproducible MRS data analysis",

abstract = "In 2021, the de facto gold-standard in vivo MRS analysis software, LCModel,1 transitioned from proprietary/paid to an open-source/free model. For 29 years, this software has fulfilled the demand for robust analysis workflows, while at the same time restricting access and dissuading continued development. We argue that this moment represents a golden opportunity for MRS developers and users to transition toward collaborative community-sourced workflows and datasets.",

author = "Soher, {Brian J.} and Clarke, {William T.} and Martin Wilson and Jamie Near and Georg Oeltzschner",

note = "Funding Information: All authors contributed equally to this letter.",

year = "2022",

month = nov,

doi = "10.1002/mrm.29387",

language = "English",

volume = "88",

pages = "1959--1961",

journal = "Magnetic Resonance in Medicine",

issn = "0740-3194",

publisher = "Wiley",

number = "5",

}

TY - JOUR

T1 - Community‐organized resources for reproducible MRS data analysis

AU - Soher, Brian J.

AU - Clarke, William T.

AU - Wilson, Martin

AU - Near, Jamie

AU - Oeltzschner, Georg

N1 - Funding Information: All authors contributed equally to this letter.

PY - 2022/11

Y1 - 2022/11

N2 - In 2021, the de facto gold-standard in vivo MRS analysis software, LCModel,1 transitioned from proprietary/paid to an open-source/free model. For 29 years, this software has fulfilled the demand for robust analysis workflows, while at the same time restricting access and dissuading continued development. We argue that this moment represents a golden opportunity for MRS developers and users to transition toward collaborative community-sourced workflows and datasets.

AB - In 2021, the de facto gold-standard in vivo MRS analysis software, LCModel,1 transitioned from proprietary/paid to an open-source/free model. For 29 years, this software has fulfilled the demand for robust analysis workflows, while at the same time restricting access and dissuading continued development. We argue that this moment represents a golden opportunity for MRS developers and users to transition toward collaborative community-sourced workflows and datasets.

UR - http://www.scopus.com/inward/record.url?scp=85135070178&partnerID=8YFLogxK

U2 - 10.1002/mrm.29387

DO - 10.1002/mrm.29387

M3 - Letter

SN - 0740-3194

VL - 88

SP - 1959

EP - 1961

JO - Magnetic Resonance in Medicine

JF - Magnetic Resonance in Medicine

IS - 5

ER -

Community‐organized resources for reproducible MRS data analysis

Abstract

Bibliographical note

Access to Document

Fingerprint

Cite this