Doing Data With Drupal

ahoppin

“Data science” is a term few had heard five years ago, but today we see it everywhere. The gathering, sharing, publishing, analyzing and visualization of of the data our institutions  produce have become vital to government, business, journalism and civil society.  It’s a big deal-- McKinsey estimates that opening up data worldwide across seven industries will unlock more than $3 trillion dollars of economic value.  

Until recently, Drupal was thought of largely as a platform for publishing content, not data. However, with the advent of the DKAN distribution of Drupal and other data visualization and management Drupal modules, its now clear that Drupal has a large role to play in data revolution.

This session will cover how both Drupal’s core architecture and key modules and other customizations make it a powerful tool for open data publishing and data science, including:

  • Recent high profile data publishing projects with Drupal

  • The storage of data, both as downloadable files and query-able, web service-ready tables

  • Approaches to data previews, charts, and other visualizations

  • Relevant Drupal projects relevant to data management including the DKAN Distribution, Visualization Entity, Open Data Schema Mapper modules, and CartoDB integration

  • Key international data standards such as DCAT

 

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Session Track

Business and Strategy

Experience Level

Intermediate

Drupal Version