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In this paper, we present the TED Talks dataset which exposes all metadata and the actual transcripts of available TED talks as structured Linked Data. The TED talks collection is composed of more than 1800 talks, along with 35?000 transcripts in over 30 languages, related to a wide range of topics. In this regard, TED talks metadata available in structured, multilingual and HTTP-accessible form constitute a valuable resource, for instance, for schoolteachers, to explore controversial contemporary topics with their students in order to stimulate awareness and critical thinking or as a means for language learning. Moreover, being compliant with state-of-the-art Linked Data principles, our dataset facilitates the computation of links with related data and resources. The TED dataset is used by a number of educational applications, and it is included in the LinkedUp Data Catalog.

Purpose: This paper aims to study the antecedents and consequences of learning organizations (LOs) in Indian higher educational institutes. Design/methodology/approach: The methodology used is survey-based. Primary data were collected from 300 faculty members of Indian higher educational institutes. Findings: It was found that all the variables, i.e. resonant leadership (RL), knowledge management, intrapreneurship and total quality managt1ent, have a significant moderate impact on LO. It has also been found that LO results in strong employer branding. Research limitations/implications: Discussions are performed and conclusions are drawn in the context of existing literature. The study bears implications for researchers to take on similar research in other contexts. Practical implications: The study bears significant implications for faculty members working in higher educational institutes. It is suggested that RL should be used to contribute toward LOs in institutions. Moreover, this would make the institute emerge as a strong employer brand. Originality/value: This paper identifies significant antecedents and consequences of LOs. It is a pioneering effort to use all these variables together as predictors of LO in Indian context.