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The project will deliver training materials for the digital arts and humanities in different languages and make them available via an online e-learning platform. This report elaborates on the implementation of such a platform. It describes the main user scenarios, it collects user and technical requirements, defines the data model and functional specification and explores technical solutions. The report has been created within WP 4 Infrastructure Development with input from all partners, especially WP 2 (user requirements). As a first step, we performed desktop research on what kind of solutions and projects on portals for training materials exist and what kind of systems they are using. The second step was an evaluation of different tools. There are different evaluation methods and criteria for e-learning systems (e.g. Kurilovas & Dagiene 2009). We chose to start from user requirements and a mapping of the user requirements from WP2 to functionalities available in existing systems. Finally, we determined which solution would suit the requirements and other circumstances within the project best.

This article shows that metadata plays a central role in our society and concludes that through collaborative work, it is possible to pool solutions and to establish relationships of cooperation, both at the level of practical tool development and with regard to sharing and creating knowledge and know-how. ispartof: ABB: Archives et Bibliothèques de Belgique - Archief- en Bibliotheekwezen in België vol:106 pages:135-144 status: published

The European Holocaust Research Infrastructure (EHRI) portal website aims to aggregate digitally available archival descriptions concerning the Holocaust. This portal is actually a meta-catalogue, or an information aggregator, whose biggest goal is to have up-to-date information by means of building sustainable data pipelines between EHRI and its content providers. Just like in similar archival information aggregators (e.g. Archives Portal Europe or Monasterium), the XML-based metadata standard Encoded Archival Description (EAD) plays a key role. The article presents how EADs are imported into the portal, mainly thanks to the Open Archive Initiative protocols.

International audience

International audience

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.

International audience

Slides presented at the EADH conference in Galway, 09.12.2018. OpenMethods (https://openmethods.dariah.eu) is a metablog aimed at republishing and bringing together all sorts of Open Access publications (e.g. research articles, preprints, blogs, videos, podcasts) about Digital Humanities methods and tools to spread the knowledge and raise peer recognition for them. The has been developed in the supervision of the DARIAH community.

The workshop on Quantitative Text Analysis for Literary History was the first in a series of DARIAH-DE expert workshops and took place from November 22 to 23 at the University of Würzburg, Germany. It was organized by Fotis Jannidis and Christof Schöch of the Department for Literary Computing, University of Würzburg, and brought together experts in the computational analysis of collections of literary texts from France, Germany, Poland and the US. This report first briefly provides some context on the DARIAH expert workshops and introduces the specific goals of the workshop reported on here. Then, it summarizes the major issues raised by the participants in their initial statements and debated in the ensuing discussions. Finally, it describes the key results from the workshop, which include advances in the areas of data, tools and methods for quantitative text analysis.