Based on the first RISIS project from 2014-2018, RISIS goes on given the high interest on RISIS datasets and their integration. RISIS2 has started in 2019 and provides ongoing access to the existing RISIS datasets:

RISIS2 Project Website

CONTACT
This project is funded by the European Union under the Seventh Framework Programme Grant Agreement n°313082
European Union
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News

Learning from end-users at Eu-SPRI

At the annual Eu-SPRI conference, held in Vienna at the AIT earlier this month, RISIS members took part in a number of sessions, discussing the use of the RISIS datasets and platforms. One session was dedicated to a consultation with the end-users of RISIS, designed to identify ways in which RISIS can better support the research community. Co-chairs, Emanuela Reale and Philippe Laredo report:    "Data-driven and evidence-based approaches are fundamental to promote excellence research, and…

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Exploring JoREP 2.0: RISIS Training May 2017

15 participants from across Europe, including Italy, Spain, Hungary and Belgium  took part in RISIS training last week at IRCrES CNR, Rome. ‘Exploring JoREP 2.0: features and potential uses in the studies on Europeanisation of research activities’ took place from May 25-26 2017. The course aimed to introduce JoREP 2.0 database, present new features of the infrastructure, highlight the specific contents and frame its potential uses in the context of the theoretical background on which has been…

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Pek van Andel’s talk on “Anatomy of the Unsought Finding”

The experience of `accidental' discovery and acquisition of information generally known as Serendipity refers to `accidentally' bumping into (new, true, useful, or personal interest-related) information, initially not looked for. Serendipity also plays an important role in the emerging field of data science by enhancing information retrieval and by promoting unexpected knowledge discovery. The World Wide Web has provided a global information space comprising billions of connected documents. "The unexpected connection is more powerful than one…

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RISIS Training 2017

Improving the capabilities of researchers in science and innovation studies to mobilise big data and quantitative analyses is a major challenge. Through our training programme, RISIS aims to prepare researchers to both the use of the datasets and platforms we offer, and to analyse such data.   RISIS supports 3 types of courses: one or two-day courses introducing researchers to a dataset or a platform; two-day courses for introducing specific methods or types of information; and one-week schools targeting more specifically…

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UPDATES March 2017: Leiden Ranking

At CWTS we have primarily worked on the address cleaning and harmonization as related to the RISIS the register of research actors (OrgReg). Most attention was paid to the identification and harmonization of non-university research organizations and hospitals. The work involves data cleaning for a great deal based on desktop research.   The data underlying the Leiden Ranking dataset involves (WoS) publications being assigned to universities. The assignment of author affiliations to universities when the…

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Copyright RISIS Consortium 2017