New Technology and Tools to Enhance Collaborative Video Analysis in Live ‘Data Sessions’

The live ‘data session’ is arguably a significant collaborative practice amongst a group of co-present colleagues that has sustained the fermentation of emerging analyses of interactional phenomena in ethnomethodological conversation analysis for several decades. There has not, however, been much in the way of technological innovation since its inception. In this article, I outline how the data session can be enhanced (a) by using simple technologies to support the ‘silent data session’, (b) by developing software tools to present, navigate and collaborate on new types of video data in novel ways using immersive virtual reality technologies, and (c) by supporting distributed version control to nurture the freedom and safety to collaborate synchronously and asynchronously on the revision of a common transcript used in a live data session. Examples of real cases, technical solutions and best practices are given based on experience. The advantages and limitations of these significant enhancements are discussed in methodological terms with an eye to future developments

Data for Psychological Research in the Educational Field: Spotlights, Data Infrastructures, and Findings from Research

In recent years, there has been a growing emphasis on the importance of open data and data sharing in scientific research (Nosek et al., 2015; van der Zee & Reich, 2018). However, in the educational field, access to FAIR (findable, accessible, interoperable, and reusable) data remains a significant challenge (Wilkinson et al., 2016). This special collection addresses this challenge by highlighting psychological data in educational research and showcasing examples of data that have been shared and made available to the scientific community in accordance with FAIR principles. With this special collection, we aim to explicitly encourage the use of shared research data for individual research projects

Is there a social life in open data? The case of open data practices in educational technology research

In the landscape of Open Science, Open Data (OD) plays a crucial role as data are one of the most basic components of research, despite their diverse formats across scientific disciplines. Opening up data is a recent concern for policy makers and researchers, as the basis for good Open Science practices. The common factor underlying these new practices-the relevance of promoting Open Data circulation and reuse-is mostly a social form of knowledge sharing and construction. However, while data sharing is being strongly promoted by policy making and is becoming a frequent practice in some disciplinary fields, Open Data sharing is much less developed in Social Sciences and in educational research. In this study, practices of OD publication and sharing in the field of Educational Technology are explored. The aim is to investigate Open Data sharing in a selection of Open Data repositories, as well as in the academic social network site ResearchGate. The 23 Open Datasets selected across five OD platforms were analysed in terms of (a) the metrics offered by the platforms and the affordances for social activity; (b) the type of OD published; (c) the FAIR (Findability, Accessibility, Interoperability, and Reusability) data principles compliance; and (d) the extent of presence and related social activity on ResearchGate. The results show a very low social activity in the platforms and very few correspondences in ResearchGate that highlight a limited social life surrounding Open Datasets. Future research perspectives as well as limitations of the study are interpreted in the discussion

Is There a Social Life in Open Data? The Case of Open Data Practices in Educational Technology Research

In the landscape of Open Science, Open Data (OD) plays a crucial role as data are one of the most basic components of research, despite their diverse formats across scientific disciplines. Opening up data is a recent concern for policy makers and researchers, as the basis for good Open Science practices. The common factor underlying these new practices—the relevance of promoting Open Data circulation and reuse—is mostly a social form of knowledge sharing and construction. However, while data sharing is being strongly promoted by policy making and is becoming a frequent practice in some disciplinary fields, Open Data sharing is much less developed in Social Sciences and in educational research. In this study, practices of OD publication and sharing in the field of Educational Technology are explored. The aim is to investigate Open Data sharing in a selection of Open Data repositories, as well as in the academic social network site ResearchGate. The 23 Open Datasets selected across five OD platforms were analysed in terms of (a) the metrics offered by the platforms and the affordances for social activity; (b) the type of OD published; (c) the FAIR (Findability, Accessibility, Interoperability, and Reusability) data principles compliance; and (d) the extent of presence and related social activity on ResearchGate. The results show a very low social activity in the platforms and very few correspondences in ResearchGate that highlight a limited social life surrounding Open Datasets. Future research perspectives as well as limitations of the study are interpreted in the discussion

Is there a social life in open data? The case of open data practices in educational technology research

In the landscape of Open Science, Open Data (OD) plays a crucial role as data are one of the most basic components of research, despite their diverse formats across scientific disciplines. Opening up data is a recent concern for policy makers and researchers, as the basis for good Open Science practices. The common factor underlying these new practices -the relevance of promoting Open Data circulation and reuse- is mostly a social form of knowledge sharing and construction. However, while data sharing is being strongly promoted by policy making and is becoming a frequent practice in some disciplinary fields, Open Data sharing is much less developed in Social Sciences and in educational research. In this study, practices of OD publication and sharing in the field of Educational Technology are explored. The aim is to investigate Open Data sharing in a selection of Open Data repositories, as well as in the academic social network site ResearchGate. The 23 Open Datasets selected across five OD platforms were analysed in terms of (a) the metrics offered by the platforms and the affordances for social activity; (b) the type of OD published; (c) the FAIR (Findability, Accessibility, Interoperability, and Reusability) data principles compliance; and (d) the extent of presence and related social activity on ResearchGate. The results show a very low social activity in the platforms and very few correspondences in ResearchGate that highlight a limited social life surrounding Open Datasets. Future research perspectives as well as limitations of the study are interpreted in the discussion

Construir culturas de datos justas en la universidad: Desafíos para el profesorado

Los capítulos de este libro exploran perspectivas de lo que significa crear culturas de datos justas en la educación superior, destacando la gama de herramientas y estrategias que se requieren según cada perspectiva. Los capítulos abarcan las dimensiones teóricas y prácticas de este reto, así como los diferentes niveles que intervienen en la creación de la cultura, desde los recursos y las infraestructuras hasta las habilidades y conocimientos del profesorado. Aunque se centra en un sector concreto (educación superior), también plantea la cuestión más amplia del papel del profesorado y la educación superior en la preparación de las personas para vivir en una sociedad donde la digitalización ha quedado atravesada por la datificación. La investigación crítica de los datos que se presenta en este libro va a contracorriente del pensamiento popular en el ámbito de la educación, que, en general, se ha dejado seducir por el poder de los big data (o macrodatos). En este breve prólogo desglosaré las diferentes dimensiones del desafío, considerando el contexto de la educación superior, cómo podríamos desarrollar una cultura de datos justa y los desafíos y oportunidades que surgen para los educadores en este contexto. Comenzaré por considerar los datos y la datificación como fenómenos sociotécnicos