Dietary Supplement Ingredient Database

**Overview**
This data package contains information on adverse Food Events 2004 to 2018, ingredient database of dietary supplements, International Food Consumption Database and Nutrition Assistance Program Participation and Cost Database.

**Description**
Adverse Food Events 2004 to 2018 dataset is a quarterly updated file that contains data extracted from the US Food and Drug Administration (FDA) Center for Food Safety and Applied Nutrition (CFSAN) Adverse Event Reporting System (CAERS) for the years 2004 to 2018. The Dietary Supplement Ingredient Database (DSID) provides estimated levels of ingredients in dietary supplement products sold in the United States. The DSID data are reported by ingredient type and ingredient level for each product category. International Food Consumption Database analyzes expenditures on major consumption categories including food and different food subcategories across 114 countries. The dataset is created from USDA (United States Department of Agriculture)-Economic Research Service calculations using 2005 International Comparison Program (ICP) data. Supplemental Nutrition Assistance Program (SNAP) is the new name for the federal Food Stamp Program. This dataset contains participation and cost data for SNAP. The data is furthered divided by annual, state, and monthly levels categorized by persons participating, households participating, benefits provided, average monthly benefits per person and average monthly benefits per household.

**Benefits**
- helps in collecting, harmonizing and disseminating data available at national and sub-national level all over the world.
- provides statistical information on aspects of all major food and nutrition service (fns) food and nutrition assistance program.

**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.

**Included Datasets**
- [Adverse Food Events 2004 to 2020](https://www.johnsnowlabs.com/marketplace/adverse-food-events-2004-to-2020)
- This dataset is a quarterly updated file that contains data extracted from the US Food and Drug Administration (FDA) Center for Food Safety and Applied Nutrition (CFSAN) Adverse Event Reporting System (CAERS) for the years 2004 to 2020.
- [Dietary Supplement Ingredient Database](https://www.johnsnowlabs.com/marketplace/dietary-supplement-ingredient-database)
- The Dietary Supplement Ingredient Database (DSID) provides estimated levels of ingredients in dietary supplement products sold in the United States. The DSID data are reported by ingredient type and ingredient level for each product category.
- [International Food Consumption Database](https://www.johnsnowlabs.com/marketplace/international-food-consumption-database)
- This dataset analyzes expenditures on major consumption categories including food and different food subcategories across 114 countries. The dataset is created from USDA (United States Department of Agriculture)-Economic Research Service calculations using 2005 International Comparison Program (ICP) data.
- [Nutrition Assistance Program Participation and Cost Database](https://www.johnsnowlabs.com/marketplace/nutrition-assistance-program-participation-and-cost-database)
- Supplemental Nutrition Assistance Program (SNAP) is the new name for the federal Food Stamp Program. This dataset contains participation and cost data for SNAP. The data is furthered divided by annual, state, and monthly levels categorized by persons participating, households participating, benefits provided, average monthly benefits per person and average monthly benefits per household.

**Data Engineering Overview**
**We deliver high-quality data**
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted

**Our data is curated and enriched by domain experts**

Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.

**Need Help?**
If you have questions about our products, contact us at [[e-mail]](mailto:[e-mail]).

搜集汇总

背景与挑战

背景概述

该数据集整合了2004-2018年美国FDA不良食品事件报告、膳食补充剂成分分析、114国食品消费统计及营养援助计划参与数据，提供标准化格式和专家审核的多元营养健康信息。数据来源权威，涵盖补充剂成分检测、国际消费比较及政府援助项目等多维度指标。