Overview
HXL is a small, simple standard to make data easier to share and process. No new skills or software are required: just add a row of hashtags to your spreadsheet (or database API output) between the headers and the data rows, and you’re done.
Process
Add text
Outputs/Resources
HXL Standard website: Includes the HXL standard itself, along with links to tools and other resources.
HXL postcards: Printable, postcard-sized HXL overviews in English and French.
Arabic and Spanish HXL postcards: Printable, postcard-sized HXL overviews in Arabic and Spanish.
Core HXL hashtags and attributes: The official reference source for HXL hashtags and attributes (more detail than the postcards).
Webinars on HXL
Introductory session for beginners
Core HXL hashtags and attributes: The official reference source for HXL hashtags and attributes (more detail than the postcards).
HDX dataset of HXL hashtags and attributes: A machine-readable dataset of HXL hashtags and attributes.
HXL hashtag chooser app: Interactive, mobile-friendly app to help pick the appropriate hashtags and attributes for a column.
Quick Charts on HDX Tools (to experiment outside of HDX): Build Quick Charts for datasets not hosted on HDX, or experiment with different combinations.
Session for Advanced HXL Users
Indicator registry: The official IASC indicator registry, used as an example in the presentation.
Quick Charts on HDX Tools (to experiment outside of HDX): Build Quick Charts for datasets not hosted on HDX, or experiment with different combinations.
HDX Data Check: Validation service for HXL-hashtagged documents. It is also possible to write your own validation schemas using a spreadsheet (see HXL schemas), and to use an API for remote validation (Validation service).
HXL Dash: Full HXL-driven dashboard, developed in partnership with the British Red Cross.
HXL Proxy: Online data engine for filtering, cleaning, transforming, combining, and validating HXL-hashtagged datasets.
User documentation: https://github.com/HXLStandard/hxl-proxy/wiki
libhxl: HXL libraries for Python and Javascript software developers.
