Elsevier, a world-leading provider of scientific, technical and medical information products and services, today announced it will collaborate with Berlin-based scientific collaboration platform PaperHive to enable researchers to easily discover, share and annotate the over 12 million articles on ScienceDirect, the world’s largest database of scientific, technical and medical full-text content.
“It’s Elsevier’s ambition to support researchers by developing the best and most efficient workflow solutions that assist them in making discoveries faster and more easily,” said Olivier Dumon, Managing Director, Academic and Research Markets at Elsevier. “The agreement with PaperHive is a great example of how scientific collaboration networks and publishers can work together to facilitate collaboration and sharing of quality research publications. In PaperHive we’ve found an ambitious and innovative startup, supported by the European Union, that can facilitate easy, copyright-compliant sharing of Elsevier content on the user’s platform of choice.”
PaperHive will integrate the ScienceDirect Application Programming Interface (API) to enable their users to search through full-text ScienceDirect articles – the official versions of record – from the PaperHive platform, and will enable sharing and annotating. Unique to the PaperHive approach, compared with most other sharing tools, is that it will not host the ScienceDirect articles themselves, but rely on the ScienceDirect API to deliver the article to PaperHive users.
“Enabling collaborative reading and content enrichment for the entire corpus of ScienceDirect documents adds true value for researchers in many disciplines,” says Alexander Naydenov, Co-Founder of PaperHive. “We are glad to see that Elsevier supports open communication in science and is among the first to collaborate with PaperHive.”
The integration is fully compliant with the STM principles for article sharing, as it will enable users to share the best available version of an article, while ensuring Elsevier can track readership statistics that enable article recommendations and reporting to authors and customers. The collaboration will include access to all 12 million+ content items on ScienceDirect.
