Statistics dissemination

Use case
Statistics dissemination

A data portal is a web-based platform or website that provides users with access to a wide range of datasets and information resources. These portals are designed to facilitate the discovery, retrieval, and often the visualization or analysis of data from various sources.

Efficiently reporting and publishing statistics that are discoverable, understandable, and consumable

For statisticians, data collectors, data reporters and data publishers.

Releasing data is a complex and resource intensive process. Data and metadata usually needs to undergo mapping and transformation processes to be compatible with the structures and reporting formats required by external stakeholders. Data portals, thematic data intensive microsites, data visualisations, dashboards, and storytelling with data require data to be repurposed across numerous dissemination channels for a multitude of data products and services all the while maintaining data quality such as consistency, accuracy, and cost-effectiveness. This is a highly evolving space and having metadata-driven processes which can be re-engineered at the speed of business is one important element of ensuring relevance.

Statistics Dissemination is supported by metadata-driven processes using open source tools and integrations.

Articles

Creating balance equality validation rules using hierarical codelists in FMR
BIS Statistics Operations

Creating balance equality validation rules using hierarical codelists in FMR

Learn how Hierarchical Codelists can be used to define balance equality validation rules.

Simplifying Data Collection thru Dissemination using open source tools and SDMX
BIS Statistics Operations

Simplifying Data Collection thru Dissemination using open source tools and SDMX

From data collection through dissemination using open source tools and a data model.

Dimensions vs Attributes and Time Series Breaks
BIS

Dimensions vs Attributes and Time Series Breaks

Definition of Dimensions and Attributes plus how to implement a Time Series Break.

Learning Resources