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In view of the developments of eSciences and accompanying infrastructures in German academia, the Cluster of Excellence Africa Multiple with its Digital Solutions portfolio has set the ambitious aim of establishing a digital research repository for its disciplinary heterogenous research projects ranging from economics to climate studies to linguistics, history and media studies, the “only” common ground being the studied area “Africa” and “African diasporas”. The four thematic sections that all touch upon eSciences, or put more generally, the digital transformation of the academic world and society from very different perspectives and disciplinary diversity. Be it knowledge management as a big data business model for academic services, digital neo-colonialism, the different legal aspects, problems of bias in semantic data processing, digitalization projects in Africa or digitization projects and collections built up in Europe.

The textbook introduces works by Sappho, Christine de Pizan, Aphra Behn, Maria Edgeworth, Jane Austen, Charlotte Brontë, George Eliot, George Sand, Caroline Norton, Elizabeth Barrett Browning, Emily Dickinson, Laura Marholm, Amalie Skram, Virginia Woolf and Amy Lowell. Some of these authors are presented as the role-models, the others as writers looking for their own female tradition and finding it in the writings of their literary foremothers. These responses - in form of poems, extracts from essays and novels - are included in the textbook and enriched with comments, interpretations and tasks for students. In the introduction, the question of female literary tradition is discussed by presenting various theoretical answers from distinguished feminist scholars. Učbenik predstavlja dela Sappho, Christine de Pizan, Aphre Behn, Marije Edgeworth, Jane Austen, Charlotte Brontë, George Eliot, George Sand, Caroline Norton, Elizabeth Barrett Browning, Emily Dickinson, Laure Marholm, Amalie Skram, Virginije Woolf in Amy Lowell . Nekatere od teh avtoric so predstavljene kot vzornice, drugi kot literarne ustvarjalke, ki iščejo lastno žensko tradicijo in jo najdejo v spisih svojih literarnih prednic. Ti odzivi - v obliki pesmi, izvlečkov iz esejev in romanov - so vključeni v učbenik in obogateni s komentarji, interpretacijami in nalogami za študente in študentke V uvodu je vprašanje ženske literarne tradicije obravnavano s predstavitvijo različnih teoretičnih odgovorov uglednih feminističnih teoretičark.

International audience; Published in OA on RESSI (http://www.ressi.ch/) at the end of Octobre 2021. We present here highlights from an enquiry on the innovations in scholarly writing in the Humanities and Social Sciences in the H2020 project OPERAS-P. This article explores the theme of Open Research Data and its role in the emergence of new models of scholarly writing. We examine more closely the obstacles and fostering conditions to the publication of research data, both from a social and a technical perspective.

Research and development are facilitated by sharing knowledge bases, and the innovation process benefits from collaborative efforts that involve the collective utilization of data. Until now, most companies and organizations have produced and collected various types of data, and stored them in data silos that still have to be integrated with one another in order to enable knowledge creation. For this to happen, both public and private actors must adopt a flexible approach to achieve the necessary transition to break data silos and create collaborative data sharing between data producers and users. In this paper, we investigate several factors influencing cooperative data usage and explore the challenges posed by the participation in cross-organizational data ecosystems by performing an interview study among stakeholders from private and public organizations in the context of the project IDE@S, which aims at fostering the cooperation in data science in the Austrian federal state of Styria. We highlight technological and organizational requirements of data infrastructure, expertise, and practises towards collaborative data usage.

This book is available as open access through the Bloomsbury Open programme and is available on www.bloomsburycollections.com. It is funded by Trinity College Dublin, DARIAH-EU and the European Commission. This book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focussing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation.

The ROSSIO Infrastructure is developing a free and open-access platform for aggregating, organising, and connecting the digital resources in the Social Sciences, Arts and Humanities provided by Portuguese higher education and cultural institutions. This paper presents an overview of the ROSSIO Infrastructure, its main objectives, the institutions involved, and the services offered by the infrastructure’s aims through its platform—namely, a discovery portal, digital exhibitions, collections, and a virtual research environment. These services rely on a metadata-aggregation solution for bringing the digital objects’ metadata from the providing institutions into ROSSIO. The aggregated datasets are converted into linked data and undergo an enrichment process based on controlled vocabularies, which are developed and published by ROSSIO. The paper will describe this process, the applications involved, and how they interoperate. We will further reflect on how these services may enhance the dissemination of science, considering the FAIR principles.

No abstract available.

AbstractIn research and policies, the identification of trends as well as emerging topics and topics in decline is an important source of information for both academic and innovation management. Since at present policy analysis mostly employs qualitative research methods, the following article presents and assesses different approaches – trend analysis based on questionnaires, quantitative bibliometric surveys, the use of computer-linguistic approaches and machine learning and qualitative investigations. Against this backdrop, this article examines digital applications in cultural heritage and, in particular, built heritage via various investigative frameworks to identify topics of relevance and trendlines, mainly for European Union (EU)-based research and policies. Furthermore, this article exemplifies and assesses the specific opportunities and limitations of the different methodical approaches against the backdrop of data-driven vs. data-guided analytical frameworks. As its major findings, our study shows that both research and policies related to digital applications for cultural heritage are mainly driven by the availability of new technologies. Since policies focus on meta-topics such as digitisation, openness or automation, the research descriptors are more granular. In general, data-driven approaches are promising for identifying topics and trendlines and even predicting the development of near future trends. Conversely, qualitative approaches are able to answer “why” questions with regard to whether topics are emerging due to disruptive innovations or due to new terminologies or whether topics are becoming obsolete because they are common knowledge, as is the case for the term “internet”.

Abstract This progress article focuses on an overview of the potential and challenges of using contemporary Geographic Information System (GIS) applications for the visual rendering and analysis of textual spatial data. The case study is an ancient traveling narrative, Pausanias’s Description of Greece (Periegesis Hellados) which was written in the second century CE. First, we describe the process of converting the volumes to spatial data using a customized version of the open-source digital semantic annotation platform Recogito. Then the focus shifts to the implementation of collected and organized spatial data to a number of GIS applications: namely Google Maps, DARIAH Geo-Browser, Gephi, Palladio and ArcGIS. Through empirical experimentation with spatial data and their implementation in different platforms, our paper charts the ways in which contemporary GIS applications may be implemented to cast new light on ancient understandings of identity, space, and place.

International audience