Yes / In recent years, the scientific community has called for improvements in the credibility, robustness and reproducibility of research, characterized by increased interest and promotion of open and transparent research practices. While progress has been positive, there is a lack of consideration about how this approach can be embedded into undergraduate and postgraduate research training. Specifically, a critical overview of the literature which investigates how integrating open and reproducible science may influence student outcomes is needed. In this paper, we provide the first critical review of literature surrounding the integration of open and reproducible scholarship into teaching and learning and its associated outcomes in students. Our review highlighted how embedding open and reproducible scholarship appears to be associated with (i) students' scientific literacies (i.e. students' understanding of open research, consumption of science and the development of transferable skills); (ii) student engagement (i.e. motivation and engagement with learning, collaboration and engagement in open research) and (iii) students' attitudes towards science (i.e. trust in science and confidence in research findings). However, our review also identified a need for more robust and rigorous methods within pedagogical research, including more interventional and experimental evaluations of teaching practice. We discuss implications for teaching and learning scholarship. / UKRI/ESRC rapid call grant, ealth Research Board Applying Researchinto Policy and Practice Fellowship, John Templeton Foundation (grant ID: 62631), Northern Ireland Department for the Economy Research Studentship

This paper describes the background, objectives and methods of my doctoral research concerned with the support of the initiation of research collaboration with the help of information and communication technologies. The research is based on the assumption that providing more information about potential partners would lead to better-grounded decisions about collaboration. The purpose of this research is also to support and utilize Open Research. To address these aims, I suggest the design and creation of an ePortfolio that will aggregate information from the Internet, particularly Web 2.0 applications.

This paper describes the background, objectives and methods of my doctoral research concerned with the support of the initiation of research collaboration with the help of information and communication technologies. The research is based on the assumption that providing more information about potential partners would lead to better-grounded decisions about collaboration. The purpose of this research is also to support and utilize Open Research. To address these aims, I suggest the design and creation of an ePortfolio that will aggregate information from the Internet, particularly Web 2.0 applications.

We asked whether the design of a Science Data Repository (SDR) can influence data sharing behaviour in small scientific collaborations. We hypothesised that an SDR can influence data-sharing behaviour when its design considers the context of data-sharing. We proposed an alternative approach to those documented in the literature, employing a combination of socio-technical empirical and analytical methods for context capturing, and choice architecture for context incorporation. To evaluate the approach we applied it to design features in a Scientific Data Repository for a population of small scientific collaborations within the Life Sciences. The application of this thesis' approach consisted of an exploratory case study, a review of factors associated with data sharing, the definition of design claims, and implementation of a set of design features. We collected data using interviews with members of the collaborations and designers of the SDR; as well as obtaining the data-logs from the collaborations' SDR. We evaluated the resulting design features using an asynchronous web experiment. We found that using the empirical approach to context capturing we are able to effectively identify factors associated with data sharing in the small scientific collaborations. Moreover, we identified a number of limitations on the application of the analytical approach to context capturing. Furthermore, we found that the Choice Architecture based procedure for context incorporation can define effective design features in Science Data Repositories. In this work, we show that we can facilitate data-sharing by incorporating context into the design of a Science Data Repository, and identified a set of restrictions to use our approach. The approach proposed in this thesis can be used by practitioners wishing to improve data sharing in an SDR. Contributions, such as the survey of factors associated with data sharing behaviour, can be used by researchers to understand the problems associated with data sharing in small scientific collaborations.

Conferencia realizada en el marco de la "III Conferencia Latinoamericana de Analíticas de Aprendizaje LALA2020 Project", del 1 al 2 de Octubre de 2020 en Cuenca, Ecuador. / The aim of this paper is to investigate the perceptions of learning analytics re-searchers in Peru about the barriers to publication of their research data. A review of the relevant legislation was done. Semi-structured interviews were used as a research method, the focus being on the presumed conflict between the publica-tion of research data and the protection of personal data. The results show a range of individual factors that influence the behaviour of scientists in relation to the publication of research data, emphasizing the barriers related to data protection in different disciplines.

Die Verbreitung von digitalen und Web 2.0 Technologien führt zu Veränderungen in allen Aspekten der Wissenschaft – Forschung, wissenschaftliche Kommunikation, Zusammenarbeit, Finanzierung, Lehre und Publizieren. ForscherIn zu sein bedeutet, Teil eines wissenschaftlichen Diskurses zu sein. Im klassischen Sinne findet dieser Diskurs in Zeitschriften oder Büchern und durch die Präsentation von Forschungsergebnissen auf Konferenzen oder Workshops statt. Im Zuge neuer vernetzter Technologien, leistungsfähiger Computer und nahezu universellem Netzzugang, hat sich dieser Diskurs zunehmend in digitale Umgebungen verlagert. Digitale und soziale Technologien verändern auch das System der Forschung und der Wissenschaftskommunikation grundlegend. Nicht nur die klassischen Publikationsformate - Bücher, Zeitschriften, Berichte etc. – haben von Druck- auf elektronische Standards umgestellt, auch haben Wissenschaftsblogs, Social Network Sites und Microblogs einen enormen Einfluss auf die wissenschaftliche Kommunikation gewonnen und wissenschaftliche Forschung für breites Publikum geöffnet. [Aus der Einleitung.]

Trotz eines verbesserten digitalen Zugangs zu wissenschaftlichen Publikationen in den letzten Jahren bleiben die Grundprinzipien der wissenschaftlichen Kommunikation unverändert und sind weiterhin weitgehend dokumentenbasiert. Die dokumentorientierten Arbeitsabläufe in der Wissenschaft haben die Grenzen der Angemessenheit erreicht, wie die jüngsten Diskussionen über das ungebremste Wachstum wissenschaftlicher Literatur, die Mängel des Peer-Review und die Reproduzierbarkeitskrise zeigen. Open Access ist eine wichtige Voraussetzung diesen Herausforderungen zu begegnen, aber auch nur der erste Schritt. Wir müssen die wissenschaftliche Kommunikation stärker wissensbasiert organisieren, indem wir wissenschaftliche Beiträge und verwandte Artefakte durch semantisch reichhaltige, vernetzte Wissensgraphen ausdrücken und miteinander vernetzen. In diesem Vortrag werden wir mit der Open Research Knowledge Graph Initiative erste Schritte in diese Richtung vorstellen.

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<p dir="ltr">Open-access bioinformatics data enables accessible public health research for a variety of stakeholders, including teachers and low-resourced researchers. This project outlines two case studies utilizing open-access bioinformatics data sets and analysis software as proofs of concept for the types of research projects that can be adapted for workforce development purposes. The first case study is a spatial temporal analysis of Lyme disease rates in the United States from 2008 to 2020 using freely available data from the United States Department of Agriculture and Centers for Disease Control and Prevention to determine how urbanization and other changes in land use have impacted Lyme disease rates over time. The second case study conducts a pangenome analysis using bacteriophage data from the Actinobacteriophage Database to determine conserved gene regions related to host specificity.</p>