the Data Hub is a community-run catalogue of useful sets of data on the Internet. You can collect links here to data from around the web for yourself and others to use, or search for data that others have collected.

Depending on the type of data (and its conditions of use), the Data Hub may also be able to store a copy of the data or host it in a database, and provide some basic visualisation tools. This site is running a powerful piece of open-source data cataloguing software called CKAN, written and maintained by the Open Knowledge Foundation. Each 'dataset' record on CKAN contains a description of the data and other useful information, such as what formats it is available in, who owns it and whether it is freely available, and what subject areas the data is about. Other users can improve or add to this information (CKAN keeps a fully versioned history). CKAN powers a number of data catalogues on the Internet. The Data Hub is an openly editable open data catalogue, in the style of Wikipedia. The UK Government uses CKAN to run data.gov.uk, which currently lists 8,000 government datasets. Official public data from most European countries is listed in a CKAN catalogue at publicdata.eu. There is a comprehensive list of catalogues like these around the world at datacatalogs.org, which is itself powered by CKAN.

CKAN is the open-source data portal software. CKAN makes it easy to publish, share and find data. It provides a powerful database for cataloging and storing datasets, with an intuitive web front-end and API. The core functionality can be flexibly extended with the features you need – from social integration and comments, to Google Analytics, to integrated data storage.

This book gives an overview of the principles of Linked Data as well as the Web of Data that has emerged through the application of these principles. The book discusses patterns for publishing Linked Data, describes deployed Linked Data applications and examines their architecture.

the book from Web developers for Web developers. You learn how to use Linked Data in your Web applications using JavaScript, PHP, and Python. Check out the Table of Contents now - in 10 chapters we cover everything you need to benefit from the Linked Open Data cloud in your application.

A Quick Start Guide for Decision Makers

• Linked Data for Libraries
• ld4l

LD4L este un proiect colaborativ între Biblioteca Universității Cornell, Laboratorul pentru Inovații al Bibliotecii Harvard și Bibliotecile Universității Stanford. Este un proiect finanțat cu 1 milion de dolari de Fundația Andrew W. Mellon.

Welcome to the project wiki-space for the Linked Data for Libraries (LD4L) project. The project is a collaboration of the Cornell University Library, the Harvard Library Innovation Lab, and the Stanford University Libraries, and is funded by a nearly $1 million two-year grant from the Andrew W. Mellon Foundation.

The goal of the project is to create a Scholarly Resource Semantic Information Store (SRSIS) model that works both within individual institutions and through a coordinated, extensible network of Linked Open Data to capture the intellectual value that librarians and other domain experts and scholars add to information resources when they describe, annotate, organize, select, and use those resources, together with the social value evident from patterns of usage.

Our intent is to do so using existing ontologies and Open Source technology.

• Linked Open Data
• oclc
• linked data

Secțiunea site-ului OCLC dedicată cercetării în domeniul Datelor Deschise Interconectate - Linked Open Data.