Forester Shavawn, Jennings-Dobbs Emily, Burton-Freeman Britt
Nutrient Institute, a 501(c)(3) not-for-profit organization, Reno, NV, United States.
Department of Food Science and Nutrition, Illinois Institute of Technology, Chicago, IL, United States.
Curr Dev Nutr. 2023 Nov 24;8(1):102048. doi: 10.1016/j.cdnut.2023.102048. eCollection 2024 Jan.
Currently, there is no standard for the citation of food composition data. This leads to the questions: how are food and nutrient data cited in research papers, and are they presented in a way that allows studies to be reproduced? To answer these questions, we performed a review of the literature and quantified the accuracy and completeness of data citations from publications (January to December 2020) in the top 5 nutrition journals as ranked by the Scimago Journal Rankings. We then performed a review of citation guidelines currently in place in other disciplines. Similar to the requirement of completing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist for systematic reviews, we have developed a comprehensive data citation checklist, the Comprehensive Food Data Citation (CFDC) checklist. The CFDC checklist was developed through a benchmarking assessment against established data citation standards. Its purpose is to establish a standardized, best-practice approach for reporting food composition data. The CFDC checklist has been designed to cater to both publishers and authors, ensuring consistency and accuracy in food composition data reporting. The CFDC checklist is also available as an interactive citation generator to facilitate the adoption of consistent and comprehensive citation of food composition data and is available at https://www.nutrientinstitute.org/cfdc. Despite general agreement that accurate data citation is paramount, this is the first citation standard specifically developed to capture food composition data. Because food composition data are the foundation of nutrition research, our proposed guidelines aim to provide the field with a much-needed foundation for acknowledging and sharing data in a way that fosters reproducibility.
目前，食品成分数据的引用尚无标准。这引发了以下问题：研究论文中如何引用食品和营养数据，以及这些数据的呈现方式是否能让研究得以重现？为回答这些问题，我们对文献进行了综述，并对科学期刊排名（Scimago Journal Rankings）评选出的前5大营养期刊2020年1月至12月发表的论文中的数据引用准确性和完整性进行了量化。然后，我们对其他学科现行的引用指南进行了综述。与系统评价需完成系统评价和Meta分析的首选报告项目清单的要求类似，我们制定了一份全面的数据引用清单，即综合食品数据引用（CFDC）清单。CFDC清单是通过对照既定的数据引用标准进行基准评估而制定的。其目的是建立一种标准化的最佳实践方法来报告食品成分数据。CFDC清单的设计兼顾了出版商和作者的需求，确保食品成分数据报告的一致性和准确性。CFDC清单还可作为交互式引用生成器使用，以促进对食品成分数据进行一致且全面的引用，可在https://www.nutrientinstitute.org/cfdc获取。尽管普遍认为准确的数据引用至关重要，但这是首个专门为获取食品成分数据而制定的引用标准。由于食品成分数据是营养研究的基础，我们提出的指南旨在为该领域提供一个急需的基础，以便以促进可重复性的方式认可和共享数据。
