Irina Pavlova took part in the anniversary international forum 'Open Data – 2023' in Tomsk

Irina Pavlova, Senior Research Fellow, Deputy Head at ANR-Lab, took part in the public talk 'Open Data for Science”, which was held as part of the 'Open Data' forum organized on November 10-11 by the University Consortium of Big Data Researchers.

The public talk was dedicated to the prospects for the development of open access to scientific data in Russia. Open access today is one of the main directions in the development of global scientific communication. In particular, it includes providing access to the full texts of scientific publications, as well as providing access to accompanying research materials (databases of scientific and experimental data, code, scientometric data, etc.). It is believed that open access facilitates the dissemination of scientific research results among scientists, the media, government agencies, and the general public; allows scientists to increase citation rates; promotes collaborative research; enhances the public contribution of the global scientific community; and helps increase the visibility of research for grantmakers, investors and consumers.

Irina shared her experience of working with open data as part of the implementation of research projects that are being implemented in the laboratory:

'Three main points related to open data are important to us. Firstly, we collect a large amount of information from open sources as part of our scientific work in various areas, which can very broadly be described as Computational Social Science. This can be either completely different digital traces or very specific bibliographic data.

Secondly, we believe that access to the publications of fellow scientists from a variety of disciplines should be as open as possible. Openness of data makes it possible for everyone – both representatives of the academy and business – to quickly learn about the state of affairs in the area that is important to them. This is the so-called state of the art of any scientific discipline.

And finally, open data works for the image and reputation of a scientist – it allows you to increase your recognition. This applies to disseminating the results of our own research, including through publications and participation in scientific events. The openness of all stages of the research – who, where, when and how the data was collected and processed – not only shows that researchers are open to dialogue and critical assessment of their work, but also provides an opportunity for others to appreciate the work of scientists by disseminating their results widely, which, in turn, leads to the building of new social connections and the expansion of networks of scientific and practical collaborations.'

ANR-Lab actively promotes this approach in scientific work. It is important for the laboratory to disseminate knowledge not only in a purely academic circle, but also among a wider audience. To achieve this, the ANR-Lab team actively maintains social networks, where they post all the recordings of our scientific seminars, conduct special popular science lectures, and also maintain a separate popular science telegram channel Nodes&Links, which serves as a point of attraction for everyone interested in and involved in network analysis. Thanks to this, ANR-Lab is able to attract interested students to take our educational courses and internships, and talented colleagues to work on joint projects.

The Open Data Forum took place from November 10 to 11 and was organized by the university Consortium of Big Data Researchers with the support of Tomsk State University and RANEPA. The forum brought together representatives of leading universities in the CIS countries and the IT industry. For 5 years in a row, the forum has been an important place where the academic and business communities work together to collect and analyze a variety of data for a wide range of socially significant areas of development. The forum was attended by representatives of 69 universities participating in the Consortium from Russia, Kazakhstan, Uzbekistan and Armenia, as well as employees of such companies as Yandex, Rabota.ru, PostgresPro, EXPASYS and others. One of the industrial participants of the forum was laboratory analyst Stanislav Moiseev, who presented the Aventica project 'Net.Works' at the forum.