Informatics has become an essential component of research in the past few decades, capitalizing on the efficiency and power of computation to improve the knowledge gained from increasing quantities and types of data. While other fields of research such as genomics are well represented in informatics resources, nutrition remains underrepresented. Nutrition is one of the most integral components of human life, and it impacts individuals far beyond just nutrient provisions. For example, nutrition plays a role in cultural practices, interpersonal relationships and body image. Despite this, integrated computational investigations have been limited due to challenges within nutrition informatics (nutri-informatics) and nutrition data. The purpose of this review is to describe the landscape of nutri-informatics resources available for use in computational nutrition research and clinical utilization. In particular, we will focus on the application of biomedical ontologies and their potential to improve the standardization and interoperability of nutrition terminologies and relationships between nutrition and other biomedical disciplines such as disease and phenomics. Additionally, we will highlight challenges currently faced by the nutri-informatics community including experimental design, data aggregation and the roles scientific journals and primary nutrition researchers play in facilitating data reuse and successful computational research. Finally, we will conclude with a call to action to create and follow community standards regarding standardization of language, documentation specifications and requirements for data reuse. With the continued movement toward community standards of this kind, the entire nutrition research community can transition toward greater usage of Findability, Accessibility, Interoperability and Reusability principles and in turn more transparent science.

中文翻译：

---

营养信息学的前景：综合营养研究当前资源和挑战的回顾


在过去的几十年里，信息学已成为研究的重要组成部分，利用计算的效率和能力来提高从数量和类型不断增加的数据中获得的知识。虽然基因组学等其他研究领域在信息学资源中得到了很好的体现，但营养学的代表性仍然不足。营养是人类生活中最不可或缺的组成部分之一，它对个人的影响远远超出了营养供应的范围。例如，营养在文化习俗、人际关系和身体形象中发挥着重要作用。尽管如此，由于营养信息学（营养信息学）和营养数据方面的挑战，综合计算研究仍然受到限制。本综述的目的是描述可用于计算营养研究和临床利用的营养信息学资源的概况。特别是，我们将重点关注生物医学本体论的应用及其在改善营养术语的标准化和互操作性以及营养与其他生物医学学科（例如疾病和表型组学）之间的关系方面的潜力。此外，我们将重点介绍营养信息学界目前面临的挑战，包括实验设计、数据聚合以及科学期刊和初级营养研究人员在促进数据重用和成功计算研究方面所发挥的作用。最后，我们将呼吁采取行动，创建并遵循有关语言标准化、文档规范和数据重用要求的社区标准。 随着此类社区标准的不断发展，整个营养研究社区可以转向更多地使用可查找性、可访问性、互操作性和可重用性原则，从而实现更加透明的科学。