GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Data Package Standard
  • v2 (current)
  • v1
  • GitHub
  • RSS
  • Validator
  • Blog

This view

  • Original page
  • New address

GeezerVison is showing datapackage.org — Data Package

The Data Package (v2) standard has been released on June 26, 2024. See the announcement and changelog for details.

Data Packages Illustration

Data Package

Data Package is a standard consisting of a set of simple yet extensible specifications to describe datasets, data files and tabular data. It is a data definition language (DDL) and data API that facilitates findability, accessibility, interoperability, and reusability (FAIR) of data.
Get Started Use Cases View on GitHub

Standard

The Data Package standard is a comprehensive set of specifications that collectively define a framework for organizing, documenting, and sharing data in a structured and interoperable manner — EXPLORE THE STANDARD

Data Package

A simple container format to describe a coherent collection of data (a dataset), including its contributors, licenses, etc.

Data Resource

A simple format to describe a data resource such as an individual table or file, including its name, format, path, etc.

Table Dialect

A simple format to describe the dialect of a tabular data file, including its delimiter, header rows, escape characters, etc.

Table Schema

A simple format to describe tabular data, including field names, types, constraints, missing values, foreign keys, etc.

Software

Data Package is backed by a suite of software tools supporting the standard. From the no-code visual tool Open Data Editor to low-level drivers for 10 programming languages — EXPLORE THE SOFTWARE

Adoption

Data Package is used for a wide range of scenarios where this standardized data packaging format proves invaluable for efficient data management, sharing, and analysis — EXPLORE THE ADOPTION

  • European Commission
  • Github
  • Dryad
  • Our World in Data
  • BCO-DMO
  • GBIF
  • Elife
  • Oxford
  • Gapminder
  • Open Data Blend
  • CMOA
  • Data World
  • The University of Chicago
  • Validata

Documentation

Read the Data Package documentation to learn more about the project:

Standard
Extensions
Recipes
Guides
Brought to you by
Open Knowledge Foundation

We are building a world open by design where all knowledge is accessible to everyone Learn about Open Knowledge

You are visitor 01402503 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.