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Due at the end of the project, (with preliminary results to be presented at the final event), including proof of concepts and pilot implementations of at least three new services.

Launch of a new open methods review journal that puts digital methods into the context of their use in digital humanities projects.

International audience; In this paper we describe the development and evaluation of a visual analytics tool to support historical research. Historians continuously gather data related to their scholarly research from archival visits and background search. Organising and making sense of all this data can be challenging as many historians continue to rely on analog or basic digital tools. We built an integrated note-taking environment for historians which unifies a set of func-tionalities we identified as important for historical research including editing, tagging, searching, sharing and visualization. Our approach was to involve users from the initial stage of brainstorming and requirement analysis through to design, implementation and evaluation. We report on the process and results of our work, and conclude by reflecting on our own experience in conducting user-centered visual analytics design for digital humanities.

Develop senior DARIAH members into ambassadors for their disciplines and regions andpublish a contact database on the DARIAH ERIC website.

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.

source: http://www.bibliotecaitaliana.it/scheda/bibit000129

Esta es una colección de textos literarios, escritos por varios autores del siglo de oro y pertenecientes a diferentes géneros literarios. Los fuentes bibliográficos y los géneros literarios son listados en la tabla de metadatos. Fue creada y analizada en los artículos "Die Digitalisierung des goldenen Zeitalters – Editionsproblematik und stilometrische Autorschaftsattribution am Beispiel des Quijote" (doi:10.17175/2018_004) y „Avellaneda y los problemas de la identificación del autor. Propuestas para una investigación con nuevas herramientas digitales" (https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-37049). Los 96 textos se encuentran en dominio público, son de acceso libre y la mayoría de ellos proceden de la Biblioteca Virtual Miguel de Cervantes o de Wikisource. Los textos han sido modificados mínimamente (por ejemplo en eliminando la cabacera o carácteres especiales) y convertidos en texto plano (txt, con codificación UTF-8). En algunos casos todavía se encuentran ciertos paratextos, por ejemplo al comienzo del texto. Los archivos se encuentran tal y como fueron utilizados en proyectos anteriores, por lo que los nombres de los documentos no están normalizados. Diese Textsammlung enthält literarische Werke unterschiedlicher Gattungen und Autoren in spanischer Originalsprache aus dem Zeitraum des 16. bis 17. Jahrhunderts. Die Sammlung wurde anlässlich zweier stilometrischer Studien zur Autorschaft des "Quijote apocrífo" erstellt: "Avellaneda y los problemas de la identificación del autor. Propuestas para una investigación con nuevas herramientas digitales" (https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-37049) und "Die Digitalisierung des goldenen Zeitalters – Editionsproblematik und stilometrische Autorschaftsattribution am Beispiel des Quijote" (doi:10.17175/2018_004). Die insgesamt 96 Texte sind gemeinfrei zugänglich und wurden aus unterschiedlichen digitalen Bibliotheken gesammelt. Zum großen Teil stammen die Texte von Biblioteca Virtual Miguel Cervantes oder Wikisource. Zur Sammlung wird eine Metadatentabelle mit bibliographischen Angaben und Informationen zu den Gattungen veröffentlicht. Die Texte liegen im Reintextformat (UTF-8 codiert) vor und wurden nur minimal bereinigt. Es befinden sich z.T. noch Paratexte (Vorwort, Widmung, etc.) in den einzelnen Textdateien. Die Benennung der Dateien entspricht leider keinem einheitlichen Prinzip, weil sie für unterschiedliche digitale Untersuchungen verwendet wurden. This collection of literary works contains texts of several different genre and authors from the 16th to 17th century in Spain (in catellano). Detailled information regarding the genres and bibliographic references are given in the metadata table. The collection was created for the papers: "Avellaneda y los problemas de la identificación del autor. Propuestas para una investigación con nuevas herramientas digitales" (https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-37049) and "Die Digitalisierung des goldenen Zeitalters – Editionsproblematik und stilometrische Autorschaftsattribution am Beispiel des Quijote" (doi:10.17175/2018_004). All in all 96 texts are coming from public domain and different digital libraries, mostly the Biblioteca Virtual Miguel de Cervantes or Wikisource. They were transferred into plain text format (UTF-8) but only minimally cleaned. Some of the texts still have paratexts (prelimanary notes, dedications etc.

The target part includes 51 poetry collections (10,212,741 characters in total) in which researchers have been able to show Petrarch’s influence.

This text elucidates how we make use of the FAIR data principles.