AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Protocol | Open Access

Exploring study materials and data sharing practices in traditional, complementary and integrative medicine research: a protocol for a cross-sectional study

Gabriela Melendez1,2Shahreen Rahman1,2Olena Zubrytska1,2Florian Naudet3,4Livia Puljak5Claudia M. Witt6Linda Lidan Zhong7,8,9David Moher10,11Holger Cramer1,2Jeremy Y. Ng1,2,12,13( )
Institute of General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, 72076, Germany
Robert Bosch Center for Integrative Medicine and Health, Bosch Health Campus, Stuttgart, 70376, Germany
Univ Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Center d'investigation clinique de Rennes (CIC1414), Rennes, 35042, France
Institut Universitaire de France (IUF), Paris, 75005, France
Center for Evidence-Based Medicine, Catholic University of Croatia, Zagreb, 10000, Croatia
Institute for Complementary and Integrative Medicine University Hospital and University of Zurich, Zurich, 8091, Switzerland
Biomedical Sciences and Chinese Medicine, School of Biological Sciences, Nanyang Technological University, Singapore, 637551, Singapore
Hong Kong Chinese Medicine Clinical Study Centre, Hong Kong Baptist University, Hong Kong SAR, China
School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China
Center for Journalology, Ottawa Hospital Research Institute, Ottawa, ON K1H 8L6, Canada
School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON K1G 5Z3, Canada
Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON L8N 3Z5, Canada
School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, 2007, Australia
Show Author Information

Abstract

Introduction

Traditional, complementary, and integrative medicine (TCIM) therapies include those typically considered outside of the purview of conventional medicine. Sharing study materials and data is crucial for enhancing transparency, reproducibility, and data use for secondary data analyses in TCIM research. This cross-sectional study aims to assess the extent to which TCIM study materials and data are made publicly available.

Methods

We will analyze a sample of 400 published TCIM research articles including primary studies (e.g. clinical trials, observational studies, and qualitative research), as well as evidence synthesis studies (e.g., systematic reviews and scoping reviews), which are informed by systematic searches. In analyzing these studies, we aim to assess whether and how researchers shared the data and materials they generated or used in their work, including details on how to access them. This study will be conducted by searching the MEDLINE database using the “Complementary Therapies” medical subject heading; records will be screened for eligibility then a sample of eligible articles will be selected at random.

Discussion

The findings and observations from this analysis will provide insights into current practices and highlight areas for improvement in the transparency and accessibility of TCIM research.

Electronic Supplementary Material

Download File(s)
eCMTA-9570014_ESM.pdf (119.8 KB)

References

【1】
【1】
 
 
Evidence-Based Chinese Medicine and Technology Assessment
Article number: 9570014

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Melendez G, Rahman S, Zubrytska O, et al. Exploring study materials and data sharing practices in traditional, complementary and integrative medicine research: a protocol for a cross-sectional study. Evidence-Based Chinese Medicine and Technology Assessment, 2025, 1(2): 9570014. https://doi.org/10.26599/eCMTA.2025.9570014

1755

Views

106

Downloads

0

Crossref

Received: 12 June 2025
Revised: 25 July 2025
Accepted: 26 September 2025
Published: 30 September 2025
© 2025 Beijing University of Chinese Medicine. Production and hosting by Tsinghua University Press.

This is an open access article under the CC-BY license (http://creativecommons.org/licenses/by/4.0/).