A Tool to Encourage Minimum Reporting Guideline Uptake for Data Analysis in Metabolomics

被引:21
作者
Considine, Elizabeth C. [1 ]
Salek, Reza M. [2 ]
机构
[1] Univ Coll Cork, Irish Ctr Fetal & Neonatal Translat Res INFANT, Dept Obstet & Gynaecol, Cork T12 YE02, Ireland
[2] IARC, 150 Cours Albert Thomas, F-69372 Lyon 08, France
基金
爱尔兰科学基金会;
关键词
reproducibility; minimum guidelines; reporting; data analysis; DIAGNOSTIC-ACCURACY; BIOLOGICAL SAMPLES; STANDARDS; REQUIREMENTS; INFORMATION;
D O I
10.3390/metabo9030043
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Despite the proposal of minimum reporting guidelines for metabolomics over a decade ago, reporting on the data analysis step in metabolomics studies has been shown to be unclear and incomplete. Major omissions and a lack of logical flow render the data analysis' sections in metabolomics studies impossible to follow, and therefore replicate or even imitate. Here, we propose possible reasons why the original reporting guidelines have had poor adherence and present an approach to improve their uptake. We present in this paper an R markdown reporting template file that guides the production of text and generates workflow diagrams based on user input. This R Markdown template contains, as an example in this instance, a set of minimum information requirements specifically for the data pre-treatment and data analysis section of biomarker discovery metabolomics studies, (gleaned directly from the original proposed guidelines by Goodacre at al). These minimum requirements are presented in the format of a questionnaire checklist in an R markdown template file. The R Markdown reporting template proposed here can be presented as a starting point to encourage the data analysis section of a metabolomics manuscript to have a more logical presentation and to contain enough information to be understandable and reusable. The idea is that these guidelines would be open to user feedback, modification and updating by the metabolomics community via GitHub.
引用
收藏
页数:11
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