Open Data for Open Government

A directory for Open Data Standards, giving examples of common attributes/fields for standardizing datasets.

An international organization that works at the junction of open data and official statistics, monitoring open data policies, measuring their success and impact, sharing knowledge, building partnerships, and offering strategic advice and practical assistance to national governments, international organizations, and other NGOs.

A collaboration between governments and experts working to open up data. The aspiration is that data should be open by default, timely and interoperable.

GODAN (Global Open Data for Agriculture and Nutrition) seeks to support global efforts to make agricultural and nutritionally relevant data available, accessible, and usable for unrestricted use worldwide.

An open data standard is a set of specifications for how some sets of data should be made publicly available. Like the data they describe, open data standards are generally developed “in the open”, meaning that anyone who is interested has a way to contribute.

Working across sectors and along the whole process of government contracting to use the power of open data to save governments money and time, deliver better goods and services for citizens, prevent corruption, and to create a better business environment for all.

The home of a set of legal tools for providing and using open data. It is a project of the Open Knowledge Foundation.

These guidelines provide context about the Open Government Licence with specific instructions for each clause. The guidelines also include a template of the full licence text for easy conversion to the web.

Just the licence, based on version 2.0 of the Open Government Licence – Canada, which was developed through public consultation and collaborative efforts by provincial and federal governments.

FNIGC (First Nations Information Governance Centre) recognizes that quality data— collected by First Nations people for First Nations people — has the power to change lives. Includes OCAP fundamentals, and online training in the application of the OCAP data standard.

Geothink is a research partnership located at McGill University. It examines the implications of increasing two-way exchanges of locational information between citizens and governments and the way in which technology shapes, and is shaped by, this exchange.

Meeting the need for a simplified indexing schema, FAST (Faceted Application of Subject Terminology) is derived from the Library of Congress Subject Headings (LCSH), one of the world's most widely-used subject terminology schemas.