Four Digital Science reports in Russian to be released at this esteemed event

Moscow, Russia, 24/10/2017: Technology company Digital Science is presenting several keynotes at the official event of the Russian Academic Excellence Project, “5Top100” on October 25-27. Four Digital Science reports in the Russian language will also be released at this event.

Held in Ekaterinburg, the prestigious event is jointly organized by the Ministry of Education and Science of the Russian Federation, the British Council and Ural Federal University. Alongside speakers from Digital Science the event will also feature representatives from from 21 university members of the 5top100 Research Excellence Initiative across the Russian Federation.

In collaboration with the Northern (Arctic) Federal University (NARFU), Archangelsk, four Digital Science reports, originally published in 2016 and 2017, have now been translated into Russian and will be published by NARFU.

The reports are:

These reports make extensive use of data from the Dimensions database of competitive research grants, which indexes more than $1 trillion peer-reviewed research funding across more than 3.5 million individual grants and awards, linked to principal investigators and their institutions.

Marina Kalinina, University of the Arctic Vice-President for Interregional Cooperation said:

“Editorial and publication of science data analytics reports in the Russian language is timely and addresses current information needs of the research community. These reports might be important tools to construct institutional politics in the field of science and research, as well as in understanding global trends and approaches to build up research collaboration networks for our institutions.”

“Digital Science is committed to the research community by creatively looking at alternative ways of assessing and analyzing science trends through big data, –

said Igor Osipov, CEO Digital Science Russia and VP A&G EMEA.

Funding and patent data provide unique early indicators to the most current research that has not yet resulted in publications or citations, which allows advancing analysis into the 3-7 year knowledge gaps. Communication impact seen via altmetrics is another source of insight into institutional and research visibility in the wider media and social sphere. We are happy to collaborate with the 5top100 Excellence Project as well as SAFU and UArctic to provide these new insights to the research community in Russia and globally.”  

Elena Kudryashova, Rector of Arctic Federal University noted:

“There are more than 50 UArctic member institutions located in Russia. During 2016-2017 NARFU also launched National Arctic Science and Education Consortium (NANOK, http://arctic-union.ru), with the aim of uniting all Arctic research-intensive institutions and organizations nationally. Alternative perspective on the impact of Arctic research expands the frames of information sources to evaluate societal impact, especially today, when we see the rise of the digitalization era.”

Notes for Editors

Digital Science at “5Top100”

  • Digital Science representatives will be keynote speakers at the seminar: “Development of Research Policy – from Evaluation to High Impact Collaboration.”
  • Dr. Igor Osipov will present on the Arctic science analytics project which was executed as a large-scale collaborative effort jointly with University of the Arctic, Far Eastern Federal University, St. Petersburg University and a number of institutions from Norway, Finland, Sweden and Alaska during 2016-2017.
  • Dr. Mike Taylor, Head of Metrics Development, Digital Science UK, will talk about understanding national and governmental impact trends with innovative data and metrics. He will provide a detailed case study of the work that the National Institutes of Health undertook when developing their innovative Relative Citation Ratio, an overview of current investigative work in the area of interdisciplinarity, examining new forms of impact reported by Altmetric, focusing particularly on policy reports and highly impactful mass media coverage.
  • Dr. Martin Szomszor, Data Scientist, Digital Science UK, will explain how  data-driven approaches can be used to inform research policy decisions and to  overcome challenges and provide insight when tracking and measuring academic  impact. Martin will give examples of the strengths and weaknesses of the UK academic impact assessment process. Martin will show how mature research information management, sophisticated databases, and advanced machine learning techniques can be exploited to gain more insight into the research process.

Digital Science is a technology company serving the needs of scientific and research communities at key points along the full cycle of research. We invest in, nurture and support innovative businesses and technologies that make all parts of the research process more open, efficient and effective. We believe that together, we can change research for good.

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Reports can be found here.