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In this poster, researchers from different projects present the integration of existingTEI-encoded corpora into a repository and analysis infrastructure, as well as the benefits of this integration. The focus is not on resource creation (corpus design or text encoding), but on infrastructure integration, dissemination and re-use of existing resources. The NFDI consortium Text+ seeks the integration of already existing resources, for example through the publication of corpora in repositories. We present the publication of the corpora of the European Literary Text Collection in the TextGrid Repository, discuss their characteristics and the advantages of this integration. The poster was accepted and presented at the DH2023 conference in Graz.

Dieser Beitrag ist mit Zustimmung des Rechteinhabers (De Gruyter) frei zugänglich. This paper argues for incorporating corpus data into the teaching of historical linguistics. While deeply annotated historical corpora are becoming available and corpus data is already widely used to answer various research questions, corpora are as yet rarely used in teaching. We believe they are ideally suited to make the variation in historical data transparent and help students to explore contexts and parameters. In our first study, we show how the KaJuK corpus and its more elaborated version, the GiesKaNe corpus, can be exploited to study adverbial sentences. Using the RIDGES corpus, the second study deals with phrasal and lexical development. Both studies focus on explaining the method and its extension to other corpora and research questions.

At the German Federal Institute for Risk Assessment (Bundesinstitut für Risikobewertung, BfR), Research Data Management (RDM) is defined as a component of the scientific research cycle. Therefore, every RDM aspect must be easy to integrate into the daily research routine. In combination with the application of digital methods and tools, a digital research paradigm emerges, which in turn is contextualized in various regulations, e.g. FAIR (Wilkinson et al. 2016), and dependencies (Hey et al. 2009). This in turn means that RDM concepts, methods and services need to be addressed on all levels of a public institution; political, strategic and operational levels for different stakeholders in research, IT, Open Science and management level. We therefore build our RDM on three pillars, in short: Strategy, Communication and Piloting. On the strategic and political level, the first pillar Strategy and Structure starts with the evaluation and use of strategy tools as well as awareness measures for management levels. This level needs to create and establish regulations and contexts that enable researchers to address RDM for their specific requirements (management as a service). The second pillar Communication and Teaching with the main components workshops, intranet and consulting is service-oriented for researchers. On the one hand, this pillar enables the researchers more and more to independently plan and implement RDM and, on the other hand, provides new impulses for further developments and improvements through feedback, discussions, etc. The third pillar Piloting and Establishing is dedicated to concrete implementation projects, by means of which RDM model implementations are developed together with the researchers, or/and departments at BfR, ideally with reference to all stations of the research data life cycle (vgl. Dierkes 2021). The data life cycle in turn is our guiding leitmotiv in our modular research-oriented RDM framework. The three pillars are the corner stones of our modular research-oriented RDM framework, which integrates in addition several aspects of agile and project management tools (e.g. agile requirements engineering, feedback and interfaces or traditional Gantt charts for planning and monitoring). These aspects and methods help to define ways for implementing RDM concepts and provide also a framework for assessing project risks as well as planning of human resources and budget planning. In addition, our framework will be further developed and established in close cooperation with IT infrastructure, research strategy, data privacy and quality management. This will provide a solid foundation for implementing RDM not as an isolated silo but as an accessible and operable structure at BfR. Our RDM framework allows to start processes on all levels in parallel and provides explicit interfaces between the pillars on the task level. For example, the research data policy is a strategic tool which is handed over in consulting tasks and is laying a foundation for pilot projects with researchers and with IT infrastructure. Starting in spring 2022, BfR has set up a pilot phase for implementing RDM. Our poster contribution provides deeper insights in our RDM framework and provides first examples of the implementation. References Dierkes, J. (2021) 4.1 Planung, Beschreibung und Dokumentation von Forschungsdaten. Praxishandbuch Forschungsdatenmanagement, eds. Putnings, Heike Neuroth und Janna Neumann, Berlin, Boston: De Gruyter Saur, pp. 303-326. doi: https://doi.org/10.1515/9783110657807-018. Hey, T., Tansley, S., Tolle, K. ed. (2009) The Fourth Paradigm: Data-intensive Scientific Discovery. Redmond WA: Microsoft Research. Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data. 3, 160018. doi: https://doi.org/10.1038/sdata.2016.18.

Computational Literary Studies Infrastructure, funded by the Horizon2020 grant scheme, is a four-year, pan-European project that aims to unify the diverse landscape of computational text analysis, in terms of available texts, tools, methods, practices and so forth, within its growing international user community. The project started out in February 2021, meaning that it has been underway for just over a year. In our poster we discuss the various deliverables and activities that have come out of the CLS INFRA project in its first quarter to give an idea of its impact in practice.

Computational Literary Studies Infrastructure, funded by the Horizon2020 grant scheme, is a four-year, pan-European project that aims to unify the diverse landscape of computational text analysis, in terms of available texts, tools, methods, practices and so forth, within its growing international user community. The project started out in February 2021, meaning that it has been underway for just over a year. In our poster we discuss the various deliverables and activities that have come out of the CLS INFRA project in its first quarter to give an idea of its impact in practice.&nbsp

This deliverable summarises the work done to compile a comprehensive overview of the landscape of literary corpora and sources currently available. It describes the methodological approach of the work group and analyses the various challenges encountered in the effort to collect information about these resources and consolidate them into a structured form. Based on an initial inventory of 86 corpora or corpus sets, the report exemplifies their wide variety with respect to structure, context and purpose, and consequently the differing modes of provisioning. It also proposes a technological path towards making this information searchable via a central discovery catalogue by discussing principal design decisions regarding the data model and the technology stack needed for such a task.

This is a revew of the present-day data lanscape prepared as deliverable 5.1. in the framework of the Horizon2020 Project "Computational Literary Studies Infrastracture". It contains following sections: 1. Introduction: Enhancing Data Findability and Accessibility……………………..……..4 2. Reference Case Studies Highlighting Research Context and Corpus Design (Haiku, Slovak Novel)…………………………………………………………………………..7 3.Research Context: Impact of the Digital Paradigm on Literary Text Collections….…..9 3.1. “Literary” (Return of Essentialism, Poetics, and Classifications)……………………..12 3.2. “Text” (between Bag of Words and Ordered Hierarchy of Content Objects)………..15 3.3. Modelling vs. Exploratory Approaches to Textual Data……………………………….18 3.4. Use Case: Collecting the Haiku………………………………………………………….20 4. Corpus Design: Methods of Selection and Sampling (Use Case: the Slovak Novel)….23 4.1. Typology of Corpora According to Their Purpose……………………………………..25 4.1.1. General-Purpose Collections……………………………………………………….....26 4.1.2. Reference Corpora (Subcorpora of)………………………………………………….28 4.1.3. Digital Critical Editions………………………………………………………………….29 4.1.4. Monitor Corpora…………………………………………………………………………30 4.1.5. Corpora Compiled on the Basis of a Research Question…………………………..31 4.1.6. Opportunistic Corpora………………………………………………………………….31 4.2. Key Considerations for Selection and Sampling (Relative to Different Types of Corpora, e.g. Exploratory or Modelling)…………………………………………...…………32 4.2.1. Corpus Architecture / Composition (Size, Eligibility, Structuring of Texts and Annotations, Entity Typing)……………………………………………………………………34 4.2.2. Completeness…………………………………………………………………………..36 4.2.3. Representativeness…………………….………………………………………………37 4.2.4. Proportion (Balance)……………………………………………………………………38 4.2.5. Frequent Biases………………………………………………………………………...39 4.3. Data Formats………………………………………………………………………………41 4.4. Metadata’s Formats and Structures (Generic vs. Domain-Specific Repositories)….42 4.5. Access to Corpus Data: Retrieval Tools (GUI, APIs, OAI-PMH)…………………….45 5. Legal and Ethical Considerations………………………………………………………….46 6. Outlook……………………………………………………………………………………….51 &nbsp

The aim of this poster is to provide an overview of the principal objectives of the newly started H2020 Computational Literary Studies (CLS) project- https://www.clsinfra.io. CLS is a infrastructure project works to develop and bring together resources of high-quality data, tools and knowledge to aid new approaches to studying literature in the digital age. Conducting computational literary studies has a number of challenges and opportunities from multilingual and bringing together distributing information. At present, the landscape of literary data is diverse and fragmented. Even though many resources are currently available in digital libraries, archives, repositories, websites or catalogues, a lack of standardisation hinders how they are constructed, accessed and the extent to which they are reusable (Ciotti 2014). CLS project aims to federate these resources, with the tools needed to interrogate them, and with a widened base of users, in the spirit of the FAIR and CARE principles (Wilkinson et al. 2016). The resulting improvements will benefit researchers by bridging gaps between greater- and lesser- resourced communities in computational literary studies and beyond, ultimately offering opportunities to create new research and insight into our shared and varied European cultural heritage. Rather than building entirely new resources for literary studies, the project is committed to exploiting and connecting the already-existing efforts and initiatives, in order to acknowledge and utilize the immense human labour that has already been undertaken. Therefore, the project builds on recently- compiled high-quality literary corpora, such as DraCor and ELTeC (Fischer et al. 2019, Burnard et al. 2021, Schöch et al. in press), integrates existing tools for text analysis, e.g. TXM, stylo, multilingual NLP pipelines (Heiden 2010, Eder et al. 2016), and takes advantage of deep integration with two other infrastructural projects, namely the CLARIN and DARIAH ERICs. Consequently, the project aims at building a coherent ecosystem to foster the technical and intellectual findability and accessibility of relevant data. The ecosystem consists of (1) resources, i.e. text collections for drama, poetry and prose in several languages, (2) tools, (3) methodological and theoretical considerations, (4) a network of CLS scholars based at different European institutions, (5) a system of short-term research stays for both early career researchers and seasoned scholars, (6) a repository for training materials, as well as (7) an efficient dissemination strategy. This is achieved through a collaboration between participating institutions: Institute of Polish Language at the Polish Academy of Sciences, Poland; University of Potsdam, Germany; Austrian Academy of Sciences, Austria; National University of Distance Education, Spain; École Normale Supérieure de Lyon, France; Humboldt University of Berlin, German; Charles University, Czech Republic; Digital Research Infrastructure for the Arts and Humanities, France; Ghent Centre for Digital Humanities, Ghent University, Belgium; Belgrade Centre for Digital Humanities, Serbia; Huygens Institute for the History of the Netherlands (Royal Netherlands Academy of Arts and Sciences), Netherlands; Trier Center for Digital Humanities, Trier University, Germany; Moore Institute, National University of Ireland Galway, Ireland; This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101004984. References Ciotti, Fabio. 2014. „Digital literary and cultural studies: the state of the art and perspectives“.Between4/8, 1-17.https://doi.org/10.13125/2039-6597/1392. Borgman, Christine. 2010. Scholarship in the Digital Age : Information, Infrastructure, andthe Internet. Cambridge, Mass & London: MIT Press. See https://www.dariah.euandhttps://www.clarin.eu. Burnard, Lou, Christof Schöch, and Carolin Odebrecht. 2021. „In search of comity: TEI fordistant reading“.Journal of the Text Encoding Initiative. https://doi.org/10.4000/jtei.3500. Eder, M., Rybicki, J. and Kestemont, M. 2016. Stylometry with R: a package forcomputational text analysis.R Journal, 8(1): 107-21.https://journal.r-project.org/archive/2016/RJ-2016-007/index.html Fischer, Frank, Ingo Börner, Matthias Göbel, Andrea Hechtl, Christopher Kittel, P. Miling, andPeer Trilcke. 2019. „Programmable Corpora: Introducing DraCor, an Infrastructure for theResearch on European Drama“. InBook of Abstractsof the Digital Humanities Conference2019. Utrecht: ADHO. Heiden, Serge. 2010. The TXM Platform: Building Open-Source Textual Analysis SoftwareCompatible with the TEI Encoding Scheme. In24th PacificAsia Conference on Language,Information and Computation(pp. 10 p.). Sendai, Japon.Retrieved fromhttp://halshs.archivesouvertes.fr/docs/00/54/97/64/PDF/paclic24_sheiden.pdf Schöch, Christof, Tomaz Erjavec, Roxana Patras, and Diana Santos (in press). „Creatingthe European Literary Text Collection (ELTeC): Challenges and Perspectives”.ModernLanguages Open. Wilkinson, Mark D., Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, MylesAxton, Arie Baak, Niklas Blomberg. 2016. „The FAIR Guiding Principles for Scientific DataManagement and Stewardship“.Scientific Data 3(1).https://doi.org/10.1038/sdata.2016.18.

In this corpus-based study we explore three measurements of L2 fluency – articulation rate, filler particles, and pauses –, both within and between two registers of spontaneous dialogues spoken by Polish learners of German. The measurements are assessed both in toto (as calculated over the whole dialogue) and in parte (as calculated for specific sections). The sections are identified on a quantitative tier that divides the dialogue into four parts, and qualitatively on two linguistically-informed tiers, comprising sections based on dialogue move and task. We challenge the assessment of fluency as an average measurement over the entire dialogue, showing that a sectionwise analysis offers a better understanding of similarities and differences both within and between the two registers.

"Historische Textdaten wie etwa Urkunden, Briefe, Tagebücher aber auch literarische Texte sind integraler Bestandteil unseres kulturellen Erbes und insofern für viele geisteswissenschaftliche Fachbereiche wie die Sprach-, Literatur- und Geschichtswissenschaften die empirische Fxorschungsgrundlage. In unserem Beitrag zeigen wir anhand des Fachrepositoriums LAUDATIO, wie eine domänenspezifische Datendokumentation, -kritik und -referenzierung mit standardisierten Methoden (Unified Modeling Language, TEI framework, persistente ID) für die historisch arbeitenden Textwissenschaften umgesetzt werden kann. Die Dokumentation und Kritik nimmt sich dabei die historische Quellenkritik als Vorbild, die Informationen zu inneren und äußeren Merkmalen der Quellen aggregiert. Ein Schwerpunkt wird auf Personen- und Ortsbezüge gesetzt (Entity Management). Für die Weiterentwicklung von LAUDATIO wurden zur Identifikation der transdisziplinären Anforderungen an ein Forschungsdatenrepositorium mit den Fachbereichen User Stories entwickelt. Die so identifizierten Bedarfe und möglichen Workflows diskutieren wir im Rahmen der Posterpräsentation mit der Community." Ein Beitrag zur 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2022 Kulturen des digitalen Gedächtnisses.

"Literarische Werke und deren digitale Repräsentationen stellen auch in den Fachbereichen der Computational Literary Studies (CLS) das Fundament für epistemische Auseinandersetzungen und Diskurse. In unserem Teilprojekt Data Selection and Curation des europäischen ""Computational Literary Studies Infrastructure""-Projekts möchten wir Brücken zu wissensbasierten Ressourcen für die CLS-Community aufbauen, um die Zugangsparadigmen für literarische Daten signifikant zu rekonfigurieren und erheblich zu verbessern. Um die Auffindbarkeit und den forschungsorientierten Zugang zu literarischen Daten für die CLS-Community zu ermöglichen, ist eine Inventarisierung der CLS-Datenlandschaft erforderlich, die forschungsrelevante Kriterien für die Datenauswahl sowie deren Erfassung und Beschreibung anwendet. Mit dieser Inventarisierung, die wir in Form einer Data Landscape Review durchführen, kann die vorhandene Datenlandschaft als digitales Erbe für CLS-Kontexte erst umfassend sichtbar und als Vorlage für weitere Forschungsvorhaben zugänglich gemacht werden. Unser Posterbeitrag präsentiert die Ergebnisse der Data Landscape Review, das Beschreibungsmodell, dessen Umsetzung in RDF und ein proof-of-concept des Online-Katalogs." Ein Beitrag zur 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2022 Kulturen des digitalen Gedächtnisses.

The aim of this poster is to provide an overview of the principal objectives of the newly started H2020 Computational Literary Studies (CLS) project- https://www.clsinfra.io. CLS is a infrastructure project works to develop and bring together resources of high-quality data, tools and knowledge to aid new approaches to studying literature in the digital age. Conducting computational literary studies has a number of challenges and opportunities from multilingual and bringing together distributing information. At present, the landscape of literary data is diverse and fragmented. Even though many resources are currently available in digital libraries, archives, repositories, websites or catalogues, a lack of standardisation hinders how they are constructed, accessed and the extent to which they are reusable (Ciotti 2014). CLS project aims to federate these resources, with the tools needed to interrogate them, and with a widened base of users, in the spirit of the FAIR and CARE principles (Wilkinson et al. 2016). The resulting improvements will benefit researchers by bridging gaps between greater- and lesser- resourced communities in computational literary studies and beyond, ultimately offering opportunities to create new research and insight into our shared and varied European cultural heritage. Rather than building entirely new resources for literary studies, the project is committed to exploiting and connecting the already-existing efforts and initiatives, in order to acknowledge and utilize the immense human labour that has already been undertaken. Therefore, the project builds on recently- compiled high-quality literary corpora, such as DraCor and ELTeC (Fischer et al. 2019, Burnard et al. 2021, Schöch et al. in press), integrates existing tools for text analysis, e.g. TXM, stylo, multilingual NLP pipelines (Heiden 2010, Eder et al. 2016), and takes advantage of deep integration with two other infrastructural projects, namely the CLARIN and DARIAH ERICs. Consequently, the project aims at building a coherent ecosystem to foster the technical and intellectual findability and accessibility of relevant data. The ecosystem consists of (1) resources, i.e. text collections for drama, poetry and prose in several languages, (2) tools, (3) methodological and theoretical considerations, (4) a network of CLS scholars based at different European institutions, (5) a system of short-term research stays for both early career researchers and seasoned scholars, (6) a repository for training materials, as well as (7) an efficient dissemination strategy. This is achieved through a collaboration between participating institutions: Institute of Polish Language at the Polish Academy of Sciences, Poland; University of Potsdam, Germany; Austrian Academy of Sciences, Austria; National University of Distance Education, Spain; École Normale Supérieure de Lyon, France; Humboldt University of Berlin, German; Charles University, Czech Republic; Digital Research Infrastructure for the Arts and Humanities, France; Ghent Centre for Digital Humanities, Ghent University, Belgium; Belgrade Centre for Digital Humanities, Serbia; Huygens Institute for the History of the Netherlands (Royal Netherlands Academy of Arts and Sciences), Netherlands; Trier Center for Digital Humanities, Trier University, Germany; Moore Institute, National University of Ireland Galway, Ireland

Computational Literary Studies Infrastructure, funded by the Horizon2020 grant scheme, is a four-year, pan-European project that aims to unify the diverse landscape of computational text analysis, in terms of available texts, tools, methods, practices and so forth, within its growing international user community. The project started out in February 2021, meaning that it has been underway for just over a year. In our poster we discuss the various deliverables and activities that have come out of the CLS INFRA project in its first quarter to give an idea of its impact in practice.

Im Rahmen des BMBF-Projekts FDMentor wurde ein deutschsprachiges Train-the-Trainer-Programm zum Thema Forschungsdatenmanagement (FDM) erstellt, das nach Projektende durch Mitglieder der UAG Schulungen/Fortbildungen der DINI/nestor-AG Forschungsdaten ergänzt und aktualisiert wurde. Die behandelten Themen umfassen sowohl die Aspekte des Forschungsdatenmanagements als auch didaktische Einheiten zu Lernkonzepten, Workshopgestaltung und eine Reihe von didaktischen Methoden. In der nun veröffentlichten vierten überarbeiteten Version des Train-the-Trainer-Konzepts wurden die Methoden und Materialien für die Präsenz- und Online-Veranstaltungen zusammengeführt. Die auf die Online-Durchführung bezogenen veränderten Methoden werden mittels einer grünen Schriftfarbe und Kursivschreibung von denen der Präsenz-Durchführung unterschieden. Alle Einheiten für die Version 4.0 wurden auf ihre Aktualität hin überprüft sowie einzelne Einheiten inhaltlich auf den neusten Stand gebracht. Die angefügten Arbeitsblätter wurden in interaktive pdf-Dokumente umgewandelt. Erfahrungen aus den bereits online durchgeführten Train-the-Trainer-Workshops sind in das Konzept eingeflossen. Diese vierte, überarbeitete Version des Konzepts dient somit auch der weitergehenden Information der bereits geschulten Teilnehmenden., An English version of the "Train-the-Trainer-Konzept zum Thema Forschungsdatenmanagement" is available under https://doi.org/10.5281/zenodo.4071471

Im Rahmen des BMBF-Projekts FDMentor wurde ein deutschsprachiges Train-the-Trainer-Programm zum Thema Forschungsdatenmanagement (FDM) erstellt, das nach Projektende durch Mitglieder der UAG Schulungen/Fortbildungen der DINI/nestor-AG Forschungsdaten ergänzt und aktualisiert wurde. Die behandelten Themen umfassen sowohl die Aspekte des Forschungsdatenmanagements als auch didaktische Einheiten zu Lernkonzepten, Workshopgestaltung und eine Reihe von didaktischen Methoden. In der nun veröffentlichten vierten überarbeiteten Version des Train-the-Trainer-Konzepts wurden die Methoden und Materialien für die Präsenz- und Online-Veranstaltungen zusammengeführt. Die auf die Online-Durchführung bezogenen veränderten Methoden werden mittels einer grünen Schriftfarbe und Kursivschreibung von denen der Präsenz-Durchführung unterschieden. Alle Einheiten für die Version 4.0 wurden auf ihre Aktualität hin überprüft sowie einzelne Einheiten inhaltlich auf den neusten Stand gebracht. Die angefügten Arbeitsblätter wurden in interaktive pdf-Dokumente umgewandelt. Erfahrungen aus den bereits online durchgeführten Train-the-Trainer-Workshops sind in das Konzept eingeflossen. Diese vierte, überarbeitete Version des Konzepts dient somit auch der weitergehenden Information der bereits geschulten Teilnehmenden.

The main aim of the paper is to describe and, to a certain extent, to understand, titling practices in literary discourse through the exploration of a multilingual literary corpus comprising European novels published between 1840 and 1920. The study is based on the analysis of 11 out of the 16 sub-collections of novels in preparation within the COST Action 16204 “Distant reading for European Literary History”, namely the English, French, German, Italian, Polish, Portuguese, Romanian, Serbian, Slovenian, Spanish, and Ukrainian sub-collections. We focus on an analysis of persons, places and genre entities in titles, and observe some regularities involving the “syntax” of these various entities in titles.[1] [1] The research described in this paper was conducted in the context of the COST Action “Distant Reading for European Literary History” (CA16204 – “Distant-Reading”). Find more about the Action at: http://www.distant-reading.net. COST is funded by the Horizon 2020 Framework Programme of the EU. The collection encoding and documentation are done by Working Group 1 (https://www.distant-reading.net/wg-1/). The creation, and correction, of ELTeC is an extensive team effort. Therefore, we would like to thank all contributors to ELTeC.

This online presentation aims to raise awareness about the ongoing COST Action “Distant Reading for European Literary History” (2017-2021). In the context of this networking project, “distant reading” is understood as an umbrella term for recent computational, and particularly quantitative, approaches to the study of large collections of texts. While the contribution of the Distant Reading paradigm to Literary Studies continues to be a matter of intense debate, we believe that recent quantitative approaches clearly provide an important methodological perspective that usefully complements, and at times challenges, more established approaches to literary history and theory in areas like authorship attribution, genre analysis, periodization, canonization and intertextuality. Fostering insight into cross-national, large- scale patterns and evolutions across European literary traditions thanks to its 26 participating countries, this COST Action aims to facilitate the creation of a broader, more inclusive and better- grounded account of European literary history and cultural identity. In terms of scientific objectives, the Action is currently coordinating the creation of a multilingual European Literary Text Collection (ELTeC) which will be used to establish best practices and develop innovative methods of Distant Reading for the multiple European literary traditions. Finally, we will use the experience of building ELTeC to investigate the theoretical consequences of Distant Reading approaches for literary history and literary theory, focusing in particular on the ways that the digital turn affects our understanding of the traditional literary definitions of the novel, the canon and literary periods.

Im Rahmen des BMBF-Projekts FDMentor wurde ein deutschsprachiges Train-the-Trainer Programm zum Thema Forschungsdatenmanagement (FDM) erstellt, das nach Projektende durch Mitglieder der UAG Schulungen/Fortbildungen der DINI/nestor-AG Forschungsdaten ergänzt und aktualisiert wurde. Die behandelten Themen umfassen sowohl die Aspekte des Forschungsdatenmanagements als auch didaktische Einheiten zu Lernkonzepten, Workshopgestaltung und eine Reihe von didaktischen Methoden. Die nun veröffentlichte dritte, überarbeitete und erweiterte Version des Train-the-Trainer-Konzepts enthält Einheiten zu Methoden und Materialien für Online-Veranstaltungen. Erste Erfahrungen aus bereits online durchgeführten Train-the-Trainer-Workshops sind zusätzlich in das Konzept eingeflossen. Die mit dieser Version eingeführten didaktischen Methoden für Online-Veranstaltungen sollen die geschulten Trainer*innen dabei unterstützen, ihre Schulungsangebote auch im virtuellen Raum lebendig und interaktiv zu gestalten und dient somit auch der weitergehenden Information der bereits geschulten Teilnehmer*innen.

Within the project FDMentor, a German Train-the-Trainer Programme on Research Data Management (RDM) was developed and piloted in a series of workshops. The topics cover many aspects of research data management, such as data management plans and the publication of research data, as well as didactic units on learning concepts, workshop design and a range of didactic methods. After the end of the project, the concept was supplemented and updated by members of the Sub-Working Group Training/Further Education (UAG Schulungen/Fortbildungen) of the DINI/nestor Working Group Research Data (DINI/nestor-AG Forschungsdaten). The newly published English version of the Train-the-Trainer Concept contains the translated concept, the materials and all methods of the Train-the-Trainer Programme. Furthermore, additional English references and materials complement this version., This is the English translation of the German "Train-the-Trainer Konzept zum Forschungsdatenmanagement" (https://doi.org/10.5281/zenodo.3938533). The German version of the concept was funded by the Federal Ministry of Education and Research (funding code 16FDM010 and 16FDM011).

Das Dokument enthält ein Metadatenschema für Schulungsmaterialien zum Thema Forschungsdatenmanagement. Dieses Schema wurde von der UAG Schulungen/Fortbildungen der DINI/nestor AG Forschungsdaten erstellt und bei der Materialsammlung von FDM-Schulungsmaterialien unter https://rs.cms.hu-berlin.de/uag_fdm/ umgesetzt.

Sobald im Rahmen von Bachelor-, Master- und Promotionsarbeiten Daten erhoben, wiederverwendet oder verarbeitet werden, ergeben sich zusätzlich Aufgaben im Rahmen des Forschungsdatenmanagements (FDM). Studierende sind dann verantwortlich für ihre Daten. Betreuende nehmen eine unterstützende Funktion ein. Dieser Leitfaden dient als Empfehlung sowie erste Orientierung und Sensibilisierung für wesentliche Aspekte des FDM für Studierende wie für Betreuende.

This contribution reports on the collaborative effort of building an open access multilingual corpus of European novels published 1840-1920 (the European Literary Text Collection - ELTeC) within the COST Action "Distant Reading for European Literary History" (COST Action CA16204). Working at the intersection of many languages and cultures, we address practical and technical aspects of corpus design based on a theoretical discussion of pluri-cultural computational modeling of literature. In the corpus design, we adopt a metadata-based approach that allows for representing the diversity of novels published 1840-1920 across Europe. Our sampling and balancing criteria use metadata including publication date, text length, reprint counts and authors’ gender, and we deliberately focus on inclusion of non-canonical novels. While one overarching goal of the project is the distant reading of European novels, this contribution puts its main focus on the theoretical and technical dimensions of corpus creation.

This contribution reports on the collaborative effort of building an open access multilingual corpus of European novels published 1840-1920 (the European Literary Text Collection - ELTeC) within the COST Action "Distant Reading for European Literary History" (COST Action CA16204). Working at the intersection of many languages and cultures, we address practical and technical aspects of corpus design based on a theoretical discussion of pluri-cultural computational modeling of literature. In the corpus design, we adopt a metadata-based approach that allows for representing the diversity of novels published 1840-1920 across Europe. Our sampling and balancing criteria use metadata including publication date, text length, reprint counts and authors’ gender, and we deliberately focus on inclusion of non-canonical novels. While one overarching goal of the project is the distant reading of European novels, this contribution puts its main focus on the theoretical and technical dimensions of corpus creation.

Korpusdokumentation wird in dieser Arbeit als eine Voraussetzung für die Wiederverwendung von Korpora und als ein Bestandteil des Forschungsdatenmanagements verstanden, welches unter anderem die Veröffentlichung und Archivierung von Korpora umfasst. Verschiedene Forschungsdaten stellen ganz unterschiedliche Anforderungen an die Dokumentation und können auch unterschiedlich wiederverwendet werden. Ein geeignetes Anwendungsbeispiel stellen historische Textkorpora dar, da sie in vielen Fächern als empirische Grundlage für die Forschung genutzt werden können. Sie zeichnen sich im Weiteren durch vielfältige Unterschiede in ihrer Aufbereitung und durch ein komplexes Verhältnis zu der historischen Vorlage aus. Die Ergebnisse von Transkription und Normalisierung müssen als eigenständige Repräsentationen und Interpretationen im Vergleich zur Vorlage verstanden werden. Was müssen Forscherinnen und Forscher über ihr Korpus mit Hilfe von Metadaten dokumentieren, um dessen Erschließung und Wiederverwendung für andere Forscherinnen und Forscher zu ermöglichen? Welche Funktionen übernehmen dabei die Metadaten? Wie können Metadaten modelliert werden, um auf alle Arten von historischen Korpora angewendet werden zu können? Die Arbeit und ihre Fragestellung sind fest in einem interdisziplinären Kontext verortet. Für die Beantwortung der Forschungsfragen wurden Erkenntnisse und Methoden aus den Fachbereichen der Korpuslinguistik, der historischen Linguistik, der Informationswissenschaft sowie der Informatik theoretisch und empirisch betrachtet und für die Entwicklung eines Metamodells für Korpusmetadaten fruchtbar gemacht. Das im Rahmen dieser Arbeit in UML entwickelte Metamodell für Korpusmetadaten modelliert Metadaten von historischen textbasierten Korpora aus einer technisch-abstrakten, produktorientierten und überfachlichen Perspektive und ist in einer TEI-Spezifikation mit Hilfe der TEI-eigenen Modellierungssprache ODD realisiert., Corpus documentation is a requirement for enabling corpus reuse scenarios and is a part of research data management which covers, among others, data publication and archiving. Different types of research data make differing demands on corpus documentation, and may be reused in various ways. Historical corpora represent an interesting and challenging use case because they are the foundation for empirical studies in many disciplines and show a great variety of reuse possibilities, of data creation, and of data annotation. Furthermore, the relation between the historical corpus and the historical original is complex. The transcription and normalisation of historical texts must be understood as independent representations and interpretations in their own right. Which kind of metadata information, then, must be included in a corpus documentation in order to enable intellectual access and reuse scenarios? What kind of role do metadata play? How can metadata be designed to be applicable to all types of historical corpora? These research questions can only be addressed with help of an interdisciplinary approach, considering findings and methods of corpus linguistics, historical linguistics, information science and computer science. The metamodel developed in this thesis models metadata of historical text-based corpora from a technical, abstract, and interdisciplinary point of view with help of UML. It is realised as a TEI-specification using the modelling language ODD.

A single abstract from the DHd-2018 Book of Abstracts., Sofern eine editorische Arbeit an dieser Publikation stattgefunden hat, dann bestand diese aus der Eliminierung von Bindestrichen in Überschriften, die aufgrund fehlerhafter Silbentrennung entstanden sind, der Vereinheitlichung von Namen der Autor*innen in das Schema "Nachname, Vorname" und/oder der Trennung von Überschrift und Unterüberschrift durch die Setzung eines Punktes, sofern notwendig., {"references":["https://doi.org/10.5281/zenodo.3684897","https://github.com/DHd-Verband/DHd-Abstracts-2018"]}

This poster aims to stimulate awareness of the existence of the newly-established COST Action on “Distant Reading for European Literary History”(2017-2021). In the context of this networking project, “distant reading” is understood as an umbrella term for recent computational, and particularly quantitative, approaches to the study of large collections of texts. This paradigm is here applied to the multilingual literary traditions of Europe in the long nineteenth century.

A single abstract from the DHd-2016 Book of Abstracts., Sofern eine editorische Arbeit an dieser Publikation stattgefunden hat, dann bestand diese aus der Eliminierung von Bindestrichen in Überschriften, die aufgrund fehlerhafter Silbentrennung entstanden sind, der Vereinheitlichung von Namen der Autor*innen in das Schema "Nachname, Vorname" und/oder der Trennung von Überschrift und Unterüberschrift durch die Setzung eines Punktes, sofern notwendig., {"references":["https://doi.org/10.5281/zenodo.3679331","https://github.com/DHd-Verband/DHd-Abstracts-2016"]}

A single abstract from the DHd-2017 Book of Abstracts., Sofern eine editorische Arbeit an dieser Publikation stattgefunden hat, dann bestand diese aus der Eliminierung von Bindestrichen in Überschriften, die aufgrund fehlerhafter Silbentrennung entstanden sind, der Vereinheitlichung von Namen der Autor*innen in das Schema "Nachname, Vorname" und/oder der Trennung von Überschrift und Unterüberschrift durch die Setzung eines Punktes, sofern notwendig., {"references":["https://doi.org/10.5281/zenodo.3684825","https://github.com/DHd-Verband/DHd-Abstracts-2017"]}

Das Korpus HIPKON (Historisches Predigtenkorpus zum Nachfeld) wurde zur Untersuchung der Nachfeldbesetzung in der Entwicklung des Deutschen erstellt. Zwar existieren schon verschiedene datenbasierte Untersuchungen zum Nachfeld, jedoch sind deren Ergebnisse kaum miteinander vergleichbar, da sich die zugrunde gelegten Daten hinsichtlich der Textsorte oder des Dialektgebiets unterscheiden bzw. die verwendete Terminologie verschiedene Phänomene erfasst. Das neue Korpus soll dementsprechend zum ersten Mal die Vergleichbarkeit der Daten über einen größeren Zeitraum hinweg ermöglichen. Not Reviewed

and poster submitted to and presented at the computer linguistics poster session of DGfS 2017 (Postersession Computerlinguistik der 39. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft)., {"references":["Stephan Druskat, Lennart Bierkandt, Volker Gast, Christoph Rzymski, and Florian Zipser. Atomic: an open-source software platform for multi-level corpus annotation. In Proceedings of the 12th Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2014), pages 228–234, Hildesheim, Germany, 2014.","Thomas Krause and Amir Zeldes. ANNIS3: A new architecture for generic corpus query and visualization. Digital Scholarship in the Humanities, 31(1):118–139, 2016. URL http://dx.doi.org/10.1093/llc/fqu057.","Holger Voormann and Ulrike Gut. Agile corpus creation. Corpus Linguistics and Linguistic Theory, 4(2):235–251, 2008. doi: 10.1515/CLLT.2008.010.","Florian Zipser and Laurent Romary. A model oriented approach to the mapping of annotation formats using standards. In Proceedings of the Workshop on Language Resource and Language Technology Standards, 2010. Seventh International Conference on Language Resources and Evaluation (LREC 2010), Valletta, Malta.","Florian Zipser, Amir Zeldes, Julia Ritz, Laurent Romary, and Ulf Leser. Pepper: Handling a multiverse of formats, 2011. Poster presented at 33. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, 24 February, Göttingen University, Göttingen, Germany."]}