Science and Research Content

Loop and ORCID collaborate to link and synchronize researcher profile information -

Loop, the research network created by Frontiers, has collaborated with ORCID to link and synchronize researcher profile information.

Officially launched in January 2015, the Loop research network seamlessly plugs into the environments of researchers, their universities and on published articles via a range of free plugins and badges. The result is a universal academic profile that follows authors into their online academic environments, increasing the discoverability of their published work by their peers.

All Frontiers authors have a Loop profile, which is automatically linked to their papers on Frontiers. In addition, Loop pulls in articles from numerous online publication repositories, allowing authors to quickly and easily link all their published work to their Loop profile, from all the journals in which they have published.

Loop was designed to maximise impact and readership for researchers and their articles with an approach that is open, collaborative and inclusive. The goal is to provide a platform where researchers have all the tools at their disposal to enhance academic discovery and impact. Integration with ORCID is an important part of this. Initial integration allows researchers to import all their publication data connected to their ORCID record into their Loop profile with the click of a button, eliminating the need to maintain multiple online profiles.

Persistent identifiers, like an ORCID iD, have become crucial within academia as mechanisms to find, link and navigate the vast volumes of information and data now available online. Loop recognises the importance of connecting and synchronizing with these identifiers and believes that a single platform where all this information is aggregated, organised and made accessible, will enable more effective academic discovery and impact.

Brought to you by Scope e-Knowledge Center, a world-leading provider of abstraction, indexing, entity extraction and knowledge organisation models (Taxonomies, Thesauri and Ontologies).

Click here to read the original press release.

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