Title: Mendeley's open data for science and learning: a reply to the DataTEL challenge

Authors: Kris Jack; Maya Hristakeva; Rosario Garcia de Zuniga; Michael Granitzer

Addresses: Mendeley Ltd., 144a Clerkenwell Road, London, EC1R 5DF, UK. ' Mendeley Ltd., 144a Clerkenwell Road, London, EC1R 5DF, UK. ' Mendeley Ltd., 144a Clerkenwell Road, London, EC1R 5DF, UK. ' Chair of Mediainformatics, University of Passau, Passau, Germany

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.

Keywords: digital libraries; recommender systems; data sets; Mendeley; reference managers; bibliographic references; open data; science; open access; data sources; user libraries; researchers; collaborative filtering algorithms; scientific papers; recommendations; API; application programming interface; research articles; crowdsourcing; third party applications; real-time data; large scale data; metadata extraction; deduplication; collaboration; knowledge sharing; scientific knowledge; technology enhanced learning; dataTEL; data-supported learning; R&D; research and development.

DOI: 10.1504/IJTEL.2012.048309

International Journal of Technology Enhanced Learning, 2012 Vol.4 No.1/2, pp.31 - 46

Received: 29 Mar 2012
Accepted: 17 May 2012
Published online: 31 Dec 2014 *

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