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The widest framework available for the treatment of language problems is offered by sociolinguistics. The author of the article begins by introducing sociolinguistics, & claims that one of its four basic thematic clusters, which he calls 'Sociolinguistics IV,' is fully devoted to language problems. Mainstream Sociolinguistics, a US-based social network that has made a fundamental contribution to sociolinguistics since the 1960s, developed a version of 'Sociolinguistics IV' that is known as Language Planning. It is in confrontation with Language Planning that the theory of Language Management grew in the 1980s & 1990s. This paper briefly discusses the contribution & problems characteristic of Language Planning & outlines the main features of the Language Management theory. Among these, special attention is paid to the process of language management, which develops out of deviations from norms, whereby some of the deviations are noted, some of the noted deviations are evaluated, & certain adjustment plans are considered & implemented. Finally, the paper suggests that the Language Management theory could perhaps make a valid contribution to other social science disciplines, such as sociology or political science.

The Sociological Data Archive (SDA) was founded in 1998, & it is the only institution that systematically provides access to data files from quantitative sociological surveys. The main access to the data library is provided on the Internet. The SDA also pays great attention to promoting secondary analysis & the employment of existing data sources & cooperates in organizing large research projects, especially the Czech participation in the ISSP. The SDA is a member of the CESSDA (Council of European Social Science Data Archives). This also means that the Archive can mediate access to materials stored in other social science data archives in Europe. The full inclusion of the SDA's services into an international network is connected to the adoption of international standards (DDI, XML technology), which is planned for the future. In recent years two qualitative data archives have also been established, the Czech Archive of Qualitative Data & Documents & the Digital Archive of Soft Data MEDARD. The Czech Statistical Office provides data services in the field of official statistics.

This article provides a look at the main turning points in research on educational inequalities, both at the level of the fi eld's subject matter and its methodology. The text focuses on authors and concepts that in their time constituted a major innovation, signifi cantly advancing analysis and knowledge in the fi eld of research on educational inequalities. In the article the authors propose viewing researchers in the fi eld of educational inequalities through the lens of their era and in relation to the major turning points between them, which can be identifi ed in terms of subject matter and methodology, and even chronologically. The authors define three basic periods, and for each one present two key concepts. The first period is represented by the basic model of the stratification process and by the socio-psychological model. The second period is characterised by the concept of educational allocation and the theory of 'maximally maintained inequality' (MMI). Presented for the third period are the multinomial transition model and the theory of 'effectively maintained inequality' (EMI). Across these stages of development the authors highlight three of the cited concepts as ground-breaking methodological innovations (the basic model of the stratification process, the concept of educational allocation, and the multinomial transition model) and the other three as innovations in subject matter (interpretive), though closely tied to the advancement of quantitative methods used in the analysis of educational inequalities (the socio-psychological model and the MMI and EMI theories).

In March 2020 the European Commission adopted exceptional state aid rules in the context of the COVID-19 outbreak caused by coronavirus SARS-CoV-2. Its goal is to enable member states to support their economy using aid measures, which under current state aid rules are either not possible to be issued at all or only after time consuming notification procedures. This so-called Temporary Framework1 is being presented as a significant tool with several possibilities such as aid for research and development projects and research infrastructures. Since its adoption, dozens of measures across the whole European Union have been notified, using different sections of the Temporary Framework according to their focus. This article is concerned with the practical use and impact of such sections regarding R&D aid, with the underlying questions as to what extent the presentation of the Temporary Framework is justified.