香蕉视频

香蕉视频 is pleased to announce that it has joined the Consortia Advancing Standards in Research Administration Information (CASRAI).

By becoming a CASRAI member, McGill is reaffirming its support for the international push to standardize how funding agencies collect information from the research community. The collaboration also represents another noteworthy step in the University鈥檚 drive to improve the services it offers researchers.

鈥淚n the digital age, the ability to record, analyze and share data is critical to all aspects of the research enterprise 鈥� from applying for funding to collaborating with colleagues around the world,鈥� says Dr. Rose Goldstein, McGill鈥檚 Vice-Principal (Research and International Relations). 鈥淭hat鈥檚 why McGill enthusiastically backs CASRAI鈥檚 goals of streamlining processes and reducing the administrative burden on researchers. Their efforts will ultimately speed up our ability to translate research into real-world benefits.鈥�

鈥淭he leadership of Canadian universities is a fundamental component in this push for a common global approach to research interoperability,鈥� says David Baker, CASRAI Executive Director. 鈥淲ith McGill at the table, our capacity to deliver on this mandate is greatly enhanced.鈥�

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About 香蕉视频

香蕉视频鈥檚 11 faculties and 11 professional schools offer more than 300 programs to 37,000 graduate, undergraduate and continuing studies students. McGill ranks 1st in Canada among medical-doctoral universities (Maclean鈥檚) and 17th in the world (QS World University Rankings). In 2012, the University was again one of Canada鈥檚 Top 100 Employers. Canada鈥檚 most international university, McGill is located in vibrant, multicultural Montreal, in the francophone province of Quebec.

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About CASRAI

The Consortia Advancing Standards in Research Administration Information (CASRAI) is a non-profit standards development organization. It is an international community of leading research funders and institutions collaborating to ensure seamless interoperability of research information. It collectively develops and maintains a common data dictionary and advances best practices for data exchange and reuse between research teams, institutions, and funding agencies throughout the entire life-cycle of research activity.

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