IntroductionThe AIMS team initiated the AIMS User Impact Survey towards the end of last year. The survey sought to gather feedback from AIMS users’ on theAIMS platform,AIMS products and services, andThe impact of AIMS’ products and services on users.The Agricultural Information Management Standards (AIMS) new website was launched ...

The AGRIS e – consultation survey took place from November 2014 to February, 12nd 2015.The purpose of the survey was to get AGRIS user feedback on various aspects of AGRIS platform, and furthermore, get AGRIS’ users to participate in the continuous development of the AGRIS in 2015 and beyond. The e-consultation focused on ...

The heading of this blog is the title of a recent paper from AGRIS team published under the F1000Research. The paper reviews the latest development of the AGRIS database and focuses also on the needs of the community. AGRIS is a global public good and its vision is to ...

On 26 March 2015, global academic publisher, CABI, announced its bibliographic platform CAB Direct has reached the milestone of 11 million records. CABI’s in-house platform, CAB Direct, hosts CAB Abstracts the leading English language bibliographic database covering the applied life sciences.Updated weekly, CAB Direct now offers over 11 million records dating back ...

CIARD announced an e-Consultation entitled CIARD e-Consulation 2015 :Consideration for future direction which opens from the 30th to the 15th of April 2015 . The consultation is open to CIARD members where they seek to discuss the further development of CIARD. While the output will shape the future of CIARD, the results however , ...

En permettant le développement de nouveaux supports de diffusion, la révolution des nouvelles technologies de l'information et de la communication (NTIC) a favorisé l'émergence du mouvement du Libre Accès en Science. Son ambition est de permettre un partage rapide et équitable des données et des ...

The National Library of Medicine (NLM) launched MeSH on Demand, an easy to use tool to automatically retrieve the medical subject (MeSH) terms that are relevant to your texts. Useful for example for indexing purposes. It is simply a question of pasting text - medical abstracts, summaries and documents - ...