Aspects of open science and scholarly practices are often discussed with a focus on research and research dissemination processes. There is currently less discussion on open science and its influence on learning and teaching in higher education, and reversely. This paper discusses open science in relation to educational practices and resources and reports on a study to investigate current educational practices from the perspective of open science. We argue that offering students opportunities via open educational practices raises their awareness of future open science goals and teaches them the skills needed to reach those goals. We present online survey results from 210 participants with teaching responsibility at higher education institutions in Germany. While some of them try to establish more open learning and teaching settings, most respondents apply rather traditional ways of learning and teaching. 60% do not use open educational resources – many have not even heard of them – nor do they make their courses open for an online audience. Participants’ priority lies in resource accuracy and quality and we still see a gap between the benefit of open practices and their practicability and applicability. The paper contributes to the general discussion of open practices in higher education by looking at open science practices and their adaptation to the learning and teaching environment. It formulates recommendations for improvements of open practice support and infrastructure.

Delivered at the CRIS2014 Conference in Rome; published in Procedia Computer Science 33 (Jul 2014).Contains conference paper (8 pages) and presentation (12 slides).Research information, i.e., data about research projects, organisations, researchers or research outputs such as publications or patents, is spread across the web, usually residing on institutional and personal web pages or in semi-open databases and information systems. While there exists a wealth of unstructured information, the limited amounts of structured data often are exposed following proprietary or less-established schemas and interfaces. Therefore, a holistic view on research information across organisational and national boundaries is not feasible and information is inconsistent and incomplete. On the other hand, web crawling and information extraction techniques have matured throughout the last decade, allowing for automated approaches of harvesting, extracting and consolidating research information into a more coherent knowledge graph. In particular the Linked Data community has provided a range of techniques, schemas and vocabularies which allow to represent and interlink research information in a more coherent manner. In this work, we give an overview of the current state of the art in research information sharing on the web and present initial ideas towards a more holistic approach for boot-strapping research information from available web sources

This paper summarizes the results of a comprehensive statistical analysis on a corpus of open access articles and contained figures. It gives an insight into quantitative relationships between illustrations or types of illustrations, caption lengths, subjects, publishers, author affiliations, article citations and others.