The full text of this article

 

Mendeley's open data for science and learning: a reply to the DataTEL challenge
by Kris Jack; Maya Hristakeva; Rosario Garcia de Zuniga; Michael Granitzer
International Journal of Technology Enhanced Learning (IJTEL), Vol. 4, No. 1/2, 2012

 

Abstract: In this paper two open access data sources, provided by Mendeley Ltd., are described in detail. The first data source is a snapshot of 50,000 user libraries, enabling researchers to test collaborative filtering algorithms for scientific paper recommendation. The second data source is Mendeley's API that provides access to 50 million research articles, crowdsourced from over 1.5 million users. This API allows researchers to build third party applications on top of real-time and large scale data. By providing data sources for the study of collaborative filtering, metadata extraction, deduplication and related research, Mendeley hopes to enable researchers in these domains to better collaborate and share knowledge, ultimately encouraging good research practices and advancing the state of scientific knowledge.

Online publication date: Tue, 31-Jul-2012

 

is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

 
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

 
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Technology Enhanced Learning (IJTEL):
Login with your Inderscience username and password:

 

    Username:        Password:         

Forgotten your password?


 
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

 
If you still need assistance, please email subs@inderscience.com