Presser Karl, Weber David, Norrie Moira
Department of Computer Science, ETH Zurich, Zurich, Switzerland.
Department of Computer Science, ETH Zurich, Zurich, Switzerland.
Food Chem. 2018 Jan 1;238:166-172. doi: 10.1016/j.foodchem.2016.09.124. Epub 2016 Sep 19.
Food and nutrition scientists, nowadays, need to manage an increasing amount of data regarding food composition, food consumption and Total Diet Studies (TDS). The corresponding datasets can contain information about several thousand different foods, in different versions from different studies. FoodCASE is a system that has been developed to manage these different datasets. It also support flexible means of linking between datasets and generally provide support for the different processes involved in the acquisition, management and processing of data. In this paper, the most important concepts to implement existing guidelines and standards for proper food data management are presented, as well as different use cases of data import and proofs of concepts demonstrating the ability to manage data in FoodCASE.
如今，食品与营养科学家需要管理越来越多有关食物成分、食物消费和总膳食研究（TDS）的数据。相应的数据集可能包含来自不同研究的数千种不同食物的不同版本信息。FoodCASE是一个为管理这些不同数据集而开发的系统。它还支持数据集之间灵活的链接方式，并总体上为数据获取、管理和处理所涉及的不同流程提供支持。本文介绍了实施适当食物数据管理现有指南和标准的最重要概念，以及数据导入的不同用例和概念验证，展示了在FoodCASE中管理数据的能力。
