About the FEWS NET Data Management Platform
The FEWS NET Data Platform acts as the central storage location and access portal for data relied upon by FEWS NET and their work in food security and early warning analysis. The Platform is made up of two primary sub-components: The Data Explorer and Data Warehouse.
Data Explorer: Focused on access, the Data Explorer system provides users with search and filter functions to quickly find, review and download data routinely used in the FEWS NET Project’s food security and early warning analysis.
Data Warehouse: Focused on storage, the Data Warehouse system provides functionality needed to store key datasets routinely used in the FEWS NET Project’s food security and early warning analysis.
About the FEWS NET Data Warehouse
The FEWS NET Data Warehouse functions as the primary data storage location for all data viewable within the Data Explorer and other Data Platform modules. For an overview of the entire system infrastructure visit, Key concepts and architecture.
In more technical terms, the Warehouse system serves as an online information tool that provides a framework for enhanced data management, accessibility and security for the key datasets routinely used in the FEWS NET Project’s food security and early warning analysis.
Built-in analytical tools allow for simple analyses while also enabling data exploration through tabular, graphical, and map visualizations.
The FEWS NET Data Warehouse also provides the capacity to import data from external sources and integrate with preexisting internal data. This structure allows for integration of key datasets in order to perform rigorous, multi-dimensional analysis. This highly valuable functionality is made possible thanks to a highly monitored and extensive database of common metadata and geospatial references.
Table of contents
The FEWS NET Data Warehouse user manual is broken up into two key sections:
1. Navigation
Learn how to navigate the FEWS NET Data Warehouse systems menu and move between various modules and data ingestion procedures.
2. Key concepts
An introduction to various best practices and modules accessible from within the FEWS NET Data Warehouse
Supporting evidence
Data entry
Data processing
Data analysis
Data series management
Metadata management
Data source management
Categorization and permissions