In his address to the readers, the editor of the issue, the chairman of the Editorial board of the Information Society journal Yuri Hohlov, writes:
Data is everywhere. And they have value. This perception came to humanity not so long ago, on the wave of the digital revolution. The shift to “digital” has led to the fact that we are overwhelmed by the ninth wave of data in digital form, in which the information necessary for making informed, well-considered decisions is hidden. This transition would not have taken place without the rapid development of telecommunications infrastructure, which “killed” the distance between people and organizations who wanted to communicate, and computing infrastructure, which “killed” the time that people previously spent on their vital calculations.
The phenomenon of “big data” is at least two decades old, but during this time disruptive technologies for working with big data managed to go from inception to hype and migrate to the productivity plateau, where their use has become a common, routine business, bringing skillful users clear economic and social dividends.
This issue of the Information Society journal contains the results of a three-year project of the National Technology Initiative aimed at creating a monitoring system (and standardization) of production processes, the use of numerous technologies for working with big data and their impact on socio-economic development. This project was implemented within the framework of the program of the NTI Center for Big Data at Lomonosov Moscow State University and was a vivid example of the multilateral partnership of organizations representing the main stakeholders in digital development: government, business, civil society, and the academia.
Among the publications of this issue, our reader will find both theoretical studies on the construction of a monitoring framework BD4DE (Big Data for Digital Economy) or the BD4DE-MM maturity model of working with big data in an organization, as well as practical results of assessing big data use in specific areas: business, government, healthcare, education. The reader will be able to see what factors influence the fact that working with big data bears fruit; he will also be able to understand what it depends on – whether it depends on government policy, on the level of training, on whether the country has research potential or developers of domestic technologies. At the same time, it will become clear to him that it is impossible to purposefully develop a complex socio-technological system without a feedback loop in the form of a monitoring system that enables certain control actions.
Of course, detailed answers to these and other questions can be obtained only on the basis of full-fledged large-scale surveys of organizations and experts, which were impossible within the framework of a research project budget, but the piloting of the developed monitoring system carried out by the authors instills confidence that the proposed tools will find their application for the development of the digital economy, be it the country as a whole, pecific industries or individual organizations. And the results of the project “Monitoring and standardization of the development and use of big data technologies in the digital economy of the Russian Federation”, reflected in 16 articles of this issue, serve to solve this problem.
In addition, this issue of the journal contains a work carried out within the framework of another project of the NTI Center for Big Data at Moscow University, namely, “Tools for the intellectual large-scale text collections analysis”. It presents an approach to the analysis of digital technologies in the agri-food sector using the example of robotic systems.
All articles presented in this issue of the journal were prepared with partial financial support from the Russian Foundation for Basic Research within the framework of the research project 18-29-03086 “Methods of identifying the needs of economic sectors for digital platforms and end-to-end technologies based on large-scale text collections analysis”.
The materials of the issue can be found on the digital platform of the Information Society journal.