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July 16, 2026
Team Success: Aligning Means with Objectives
In corporations, sports, and academia, people often face challenges they cannot handle alone. In such cases, selecting the right team is crucial. Tatiana Mayskaya, Associate Professor at the HSE Faculty of Economic Sciences and the International College of Economics and Finance, together with colleagues from foreign universities, examined team characteristics and found that less diverse teams are better suited to objectives where a high average performance is important, whereas more diverse teams are preferable when avoiding failure is critical. The paper has been published in Economic Theory.
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Architecting open education: the integrated metadata warehouse

Ch. 5. P. 1–8.
Zykov S. V., Isheyemi O.

This paper proposes an integrated approach for data warehousing of the educational metadata in the area of open educational resources (OER). The aim is designing an architecture that integrates automatic metadata extraction and rule-based methods to better utilize the OER. This architecture helps synchronizing metadata from the resulting repository with versatile OER Web-based resources. Therewith, the approach to data warehousing involves an extract-transform-load (ETL) process. The proposed architecture, as our experimentation shows, in terms of data management and process flow, improves performance in handling OER metadata. This rule-based architecture allows for automatic extraction and classification of metadata in a number of pre-defined categories. These metadata categories are available through a web portal.

Language: English
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Keywords: open educational resourcesDatabase and data warehousemetadata managementweb portal

In book

Proceedings of the CEE-SECR’17. 13th Central & Eastern European Software Engineering Conference Russia
Proceedings of the CEE-SECR’17. 13th Central & Eastern European Software Engineering Conference Russia
Association for Computing Machinery (ACM), 2017.
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