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  • DARIAH EU
  • 2013-2022
  • Publications
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  • Preprint
  • English
  • DARIAH EU

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    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". This landscape review, for which Work Package 5 is responsible, focuses on intellectual access, i.e. providing guidance for finding and sharing literary data, while Work Package 6 approaches the task from a more technological side, collecting and analyzing literary corpora, available formats, tools, and metadata in order to create an exploratory catalogue / inventory of literary corpora and to provide a transformation matrix/toolbox for solving common issues. Yet we coordinate our efforts – beginning with the compilation of the table of literary collections – therefore one can regard these as two sides of the same coin. The review’s point of departure is the abundance of existing data and their diversity or heterogeneity as regards corpus design and underlying concepts, for example the definitions of text (is it a source, an edition, a data set? see chapter 3), the purpose of a corpus (e.g. general, reference, or monitoring corpora, special purpose corpora; see chapter 4), central considerations or criteria regarding the construction of a corpus (sampling, balancing, representativeness, annotation model(s), data format(s); see likewise chapter 4). How can I go about obtaining data without transgressing ethical or legal boundaries (see chapter 5)? We ask: How can we assist literary scholars in searching for and finding existing data that are relevant to their own research questions? And additionally, what kind of research question is relevant concerning the present-day state of the data landscape and literariness and textuality? The review 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

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    Authors: Rodrigo, Javier; Flecha, Ainhoa; Kasprowicz, Dominika; Hess, Karolina; +4 Authors

    Storytelling tools aim to leverage the technological restraints of creating and sharing digital narratives, allowing non-expert users to deploy projects and populate them with custom-made content. In other words, storytelling tools aim at giving space for diverse narratives to emerge and spread in the digital sphere. As facilitators of imagining and communicating ideas, they may also be considered incubators of rethinking societal challenges. The three storytelling tools developed in the framework of the HORIZON2020 SO-CLOSE project allow users to create and publish multimedia, multilingual and accessible digital cultural heritage projects. In this demonstration, we present the three tools: the interactive story map, the immersive web doc and the participatory virtual exhibition. We showcase the publishing interfaces (front-end), the authoring and content management system (back-end) and a use-case application (project). The present prototypes will be publicly released by the end of the project (December 2022). SO-CLOSE is a three-year project that aims at enhancing social cohesion through sharing the cultural heritage of forced migrations. Based on theories of cultural heritage-making, the project works towards exposing the commonalities of past and present experiences with the mediation of innovative digital tools and collaborative approaches. The act of storytelling becomes a premise for the potential of a better understanding between local communities and newcomers. In this context, the three tools are conceived and developed to empower cultural institutions and communities in building and publishing their digital stories. To achieve this, end-users were intensively involved in the design process, through participatory methodologies. Starting from a state-of-the-art tools analysis, the project collaborated with cultural institutions, NGOs, refugees and asylum seekers, local communities, researchers and policy makers in the requirements elicitation process (interviews and focus groups), co-design workshops and validation surveys. Overall, the users of the storytelling tools can create projects based on journeys, chapters or exhibitions, use modules that can be selected, shuffled and repeated, populate them with their own content – including 360 videos and images and 3D models – and carry out crowdsourcing calls. The projects are published online, with integrated features for accessibility, interactivity and data interoperability with other repositories. The use-case that will illustrate the tools application will be a pilot project of Greek Forum of Refugees, co-created together with three different refugee communities living in Greece and the Contemporary Social History Archives. posters & demos: 142

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    Authors: Christof Schöch; Evgeniia Fileva; Julia Dudar;

    The findings reported here have been obtained in the framework of CLS INFRA’s Work Package 3 concerned with “Methodological Considerations of Computational Literary Studies” (WP3). The overarching objective of WP3 is to identify, document and show-case current shared practices in CLS research. This objective supports several purposes, among them guiding infrastructure development, defining training opportunities, and consolidating the CLS community. Specifically, one can deduct infrastructure requirements from such findings and feed them to other work packages within the project, in order to ensure that decisions taken when designing a research infrastructure for the CLS community are informed by these requirements.1 Also, such a documentation of current shared practices can help design a useful training programme both for scholars who are newly entering the field and for more experienced researchers. In addition, it can help consolidate the CLS community by making shared research practices visible. Within WP3, the first step to identify, document and show-case best practices in CLS research is to capture the current state of the art in terms of widespread research practices in CLS. Task 3.1 on the “Baseline Methodological User Needs Analysis” is devoted to this aim.

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    Authors: Lisanne M. van Rossum; Artjoms Šeļa;

    The main task of this deliverable was to explore current gaps in teaching of research skills for computational literary studies to inform the CLS INFRA project’s own approach to training schools and chart the territory to gain broader insight into current CLS teaching practices. We approached the task through an explicit mapping of 1) existing training opportunities (“supply”) and 2) opinions of the practitioner community (“demand”) to a single grid of skills, where it would be possible to identify the gaps through comparison. From four broadly defined stages in a research cycle: 1) Theory and research setup, 2) Collection, 3) Analysis, 4) Delivery we derived 26 skills. To understand supply we have manually annotated current offers in a sample of European university courses in Digital Humanities and summer school workshops. To index demand we set up an online survey to ask the community to evaluate each skill from the grid based on its perceived future prospects in the field and teaching (1-5 scale response, 118 participants). After value normalization, areas of Analysis and Collection, especially advanced text modeling, classification, statistics, corpus building, and access to existing collections look undersaturated. Across Research setup the focus is on research design principles, while Delivery shows underrepresentation of knowledge on reproducibility. The survey also offered a chance to observe the demographic structure of the CLS community. Most of the responses came from early career researchers, indicating a new generational wave within computational literary studies. Participant gender was balanced, although more late career men than women were represented, and men were more represented in disciplines with technical backgrounds. Self-reported involvement in CLS and experience in computational skills was likewise on average lower for female participants. Researchers who work in the field of CLS also report more proficiency in computational methods, which suggests that these go hand in hand in current practice. Open questions built into the survey showed further nuance in community lines of thinking about opportunities and pitfalls for training in CLS. Among the topics most frequently mentioned were a quantitative lack of (centralized) training, concern about the discipline’s positioning, and the lagging behind in institutionalization of computational research skills. To a lesser degree, participants addressed the lack of resources to learn. Several participants reported missing the opportunities to pursue a career in CLS. Others felt overwhelmed by the unorganized offer in CLS training and material, or described a qualitative lack in schooling beyond introductory modules. When asked about missed areas in the survey, participants suggested more focus on the heterogeneity of the current textual landscape in CLS and the discipline’s connections outside of academia. The reported core issues for training overlap thematically with the outlined areas of improvement of this survey, showing that this survey was not all-encompassing. It underlines the importance of foregrounding community voices in taking steps to support skill advancement in CLS research.

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    Authors: Tóth-Czifra, Erzsébet; Papaki, Eliza;

    Research assessment has been recognized as the Achilles heel of firmly grounding Open Science practices in research realities for a long while now. A wide range of innovative, born-digital scholarship are still invisible from formal research administration and assessment. Entering 2022, we see strong European-level policy drive and momentum to change this for the better. In this resource, we showcase 4 ways in which DARIAH supports this important endeavor. The full blog post is available here: https://dariahopen.hypotheses.org/1172 .

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    Authors: Murphy, Ciara L.; Tonra, Justin;

    D 2.1: Initial plan for communication and dissemination of project results and RI access, including audience/instrument mapping and communications KPIs (M6, to be updated continuously from then on until M 48).

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    Authors: Eckart, Thomas; Gradl, Tobias; Jegan, Robin; Helfer, Felix; +3 Authors

    CLARIAH-DE combines services and offerings of CLARIN-D and DARIAH-DE. This includes various search applications which are made directly available to researchers. These search applications are presented in this working paper based on their main characteristics and compared with a focus on possible harmonizations. Opportunities and risks of different forms of technical integration are highlighted. Identified challenges can be explained in particular considering the background of different organizational and technical frameworks as well as highly specific and discipline-dependent requirements. The integration work that has already been carried out and the experiences gained with regard to future work and possible integration of further applications are also discussed. The experiences made in CLARIAH-DE can especially be of interest for other projects in the field of digital research infrastructures. Funded by the German Federal Ministry of Education and Research. Funding Reference Number 01UG1910 A to I. {"references": ["10.5281/zenodo.4628889", "10.5281/zenodo.4266478"]}

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    Authors: Nury, Elisa; Clivaz, Claire; Błaszczyńska, Marta; Kaiser, Michael; +4 Authors

    Published in OA on RESSI (http://www.ressi.ch/) on the 15.02.22. 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. International audience

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  • Authors: Tóth-Czifra, Erzsébet; Truan, Naomi;

    In this resource, you can follow a step-by-step description of a research data workflow involving the annotation of multilingual parliamentary corpora (French, German, British) according to the guidelines of the Text Encoding Initiative (TEI). Read further if you are interested in working with the TEI, analyzing parliamentary corpora, or simply would like to see a validated example of how FAIR and open data is implemented in the context of a PhD dissertation in Corpus Linguistics.

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    Authors: Hedges, M.; Aschenbrenner, Andreas; Blanke, T.; Haswell, E.;
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    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". This landscape review, for which Work Package 5 is responsible, focuses on intellectual access, i.e. providing guidance for finding and sharing literary data, while Work Package 6 approaches the task from a more technological side, collecting and analyzing literary corpora, available formats, tools, and metadata in order to create an exploratory catalogue / inventory of literary corpora and to provide a transformation matrix/toolbox for solving common issues. Yet we coordinate our efforts – beginning with the compilation of the table of literary collections – therefore one can regard these as two sides of the same coin. The review’s point of departure is the abundance of existing data and their diversity or heterogeneity as regards corpus design and underlying concepts, for example the definitions of text (is it a source, an edition, a data set? see chapter 3), the purpose of a corpus (e.g. general, reference, or monitoring corpora, special purpose corpora; see chapter 4), central considerations or criteria regarding the construction of a corpus (sampling, balancing, representativeness, annotation model(s), data format(s); see likewise chapter 4). How can I go about obtaining data without transgressing ethical or legal boundaries (see chapter 5)? We ask: How can we assist literary scholars in searching for and finding existing data that are relevant to their own research questions? And additionally, what kind of research question is relevant concerning the present-day state of the data landscape and literariness and textuality? The review 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

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    Authors: Rodrigo, Javier; Flecha, Ainhoa; Kasprowicz, Dominika; Hess, Karolina; +4 Authors

    Storytelling tools aim to leverage the technological restraints of creating and sharing digital narratives, allowing non-expert users to deploy projects and populate them with custom-made content. In other words, storytelling tools aim at giving space for diverse narratives to emerge and spread in the digital sphere. As facilitators of imagining and communicating ideas, they may also be considered incubators of rethinking societal challenges. The three storytelling tools developed in the framework of the HORIZON2020 SO-CLOSE project allow users to create and publish multimedia, multilingual and accessible digital cultural heritage projects. In this demonstration, we present the three tools: the interactive story map, the immersive web doc and the participatory virtual exhibition. We showcase the publishing interfaces (front-end), the authoring and content management system (back-end) and a use-case application (project). The present prototypes will be publicly released by the end of the project (December 2022). SO-CLOSE is a three-year project that aims at enhancing social cohesion through sharing the cultural heritage of forced migrations. Based on theories of cultural heritage-making, the project works towards exposing the commonalities of past and present experiences with the mediation of innovative digital tools and collaborative approaches. The act of storytelling becomes a premise for the potential of a better understanding between local communities and newcomers. In this context, the three tools are conceived and developed to empower cultural institutions and communities in building and publishing their digital stories. To achieve this, end-users were intensively involved in the design process, through participatory methodologies. Starting from a state-of-the-art tools analysis, the project collaborated with cultural institutions, NGOs, refugees and asylum seekers, local communities, researchers and policy makers in the requirements elicitation process (interviews and focus groups), co-design workshops and validation surveys. Overall, the users of the storytelling tools can create projects based on journeys, chapters or exhibitions, use modules that can be selected, shuffled and repeated, populate them with their own content – including 360 videos and images and 3D models – and carry out crowdsourcing calls. The projects are published online, with integrated features for accessibility, interactivity and data interoperability with other repositories. The use-case that will illustrate the tools application will be a pilot project of Greek Forum of Refugees, co-created together with three different refugee communities living in Greece and the Contemporary Social History Archives. posters & demos: 142

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    Authors: Christof Schöch; Evgeniia Fileva; Julia Dudar;

    The findings reported here have been obtained in the framework of CLS INFRA’s Work Package 3 concerned with “Methodological Considerations of Computational Literary Studies” (WP3). The overarching objective of WP3 is to identify, document and show-case current shared practices in CLS research. This objective supports several purposes, among them guiding infrastructure development, defining training opportunities, and consolidating the CLS community. Specifically, one can deduct infrastructure requirements from such findings and feed them to other work packages within the project, in order to ensure that decisions taken when designing a research infrastructure for the CLS community are informed by these requirements.1 Also, such a documentation of current shared practices can help design a useful training programme both for scholars who are newly entering the field and for more experienced researchers. In addition, it can help consolidate the CLS community by making shared research practices visible. Within WP3, the first step to identify, document and show-case best practices in CLS research is to capture the current state of the art in terms of widespread research practices in CLS. Task 3.1 on the “Baseline Methodological User Needs Analysis” is devoted to this aim.

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    Authors: Lisanne M. van Rossum; Artjoms Šeļa;

    The main task of this deliverable was to explore current gaps in teaching of research skills for computational literary studies to inform the CLS INFRA project’s own approach to training schools and chart the territory to gain broader insight into current CLS teaching practices. We approached the task through an explicit mapping of 1) existing training opportunities (“supply”) and 2) opinions of the practitioner community (“demand”) to a single grid of skills, where it would be possible to identify the gaps through comparison. From four broadly defined stages in a research cycle: 1) Theory and research setup, 2) Collection, 3) Analysis, 4) Delivery we derived 26 skills. To understand supply we have manually annotated current offers in a sample of European university courses in Digital Humanities and summer school workshops. To index demand we set up an online survey to ask the community to evaluate each skill from the grid based on its perceived future prospects in the field and teaching (1-5 scale response, 118 participants). After value normalization, areas of Analysis and Collection, especially advanced text modeling, classification, statistics, corpus building, and access to existing collections look undersaturated. Across Research setup the focus is on research design principles, while Delivery shows underrepresentation of knowledge on reproducibility. The survey also offered a chance to observe the demographic structure of the CLS community. Most of the responses came from early career researchers, indicating a new generational wave within computational literary studies. Participant gender was balanced, although more late career men than women were represented, and men were more represented in disciplines with technical backgrounds. Self-reported involvement in CLS and experience in computational skills was likewise on average lower for female participants. Researchers who work in the field of CLS also report more proficiency in computational methods, which suggests that these go hand in hand in current practice. Open questions built into the survey showed further nuance in community lines of thinking about opportunities and pitfalls for training in CLS. Among the topics most frequently mentioned were a quantitative lack of (centralized) training, concern about the discipline’s positioning, and the lagging behind in institutionalization of computational research skills. To a lesser degree, participants addressed the lack of resources to learn. Several participants reported missing the opportunities to pursue a career in CLS. Others felt overwhelmed by the unorganized offer in CLS training and material, or described a qualitative lack in schooling beyond introductory modules. When asked about missed areas in the survey, participants suggested more focus on the heterogeneity of the current textual landscape in CLS and the discipline’s connections outside of academia. The reported core issues for training overlap thematically with the outlined areas of improvement of this survey, showing that this survey was not all-encompassing. It underlines the importance of foregrounding community voices in taking steps to support skill advancement in CLS research.

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    Authors: Tóth-Czifra, Erzsébet; Papaki, Eliza;

    Research assessment has been recognized as the Achilles heel of firmly grounding Open Science practices in research realities for a long while now. A wide range of innovative, born-digital scholarship are still invisible from formal research administration and assessment. Entering 2022, we see strong European-level policy drive and momentum to change this for the better. In this resource, we showcase 4 ways in which DARIAH supports this important endeavor. The full blog post is available here: https://dariahopen.hypotheses.org/1172 .

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    Authors: Murphy, Ciara L.; Tonra, Justin;

    D 2.1: Initial plan for communication and dissemination of project results and RI access, including audience/instrument mapping and communications KPIs (M6, to be updated continuously from then on until M 48).

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    Authors: Eckart, Thomas; Gradl, Tobias; Jegan, Robin; Helfer, Felix; +3 Authors

    CLARIAH-DE combines services and offerings of CLARIN-D and DARIAH-DE. This includes various search applications which are made directly available to researchers. These search applications are presented in this working paper based on their main characteristics and compared with a focus on possible harmonizations. Opportunities and risks of different forms of technical integration are highlighted. Identified challenges can be explained in particular considering the background of different organizational and technical frameworks as well as highly specific and discipline-dependent requirements. The integration work that has already been carried out and the experiences gained with regard to future work and possible integration of further applications are also discussed. The experiences made in CLARIAH-DE can especially be of interest for other projects in the field of digital research infrastructures. Funded by the German Federal Ministry of Education and Research. Funding Reference Number 01UG1910 A to I. {"references": ["10.5281/zenodo.4628889", "10.5281/zenodo.4266478"]}

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    Authors: Nury, Elisa; Clivaz, Claire; Błaszczyńska, Marta; Kaiser, Michael; +4 Authors

    Published in OA on RESSI (http://www.ressi.ch/) on the 15.02.22. 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. International audience

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  • Authors: Tóth-Czifra, Erzsébet; Truan, Naomi;

    In this resource, you can follow a step-by-step description of a research data workflow involving the annotation of multilingual parliamentary corpora (French, German, British) according to the guidelines of the Text Encoding Initiative (TEI). Read further if you are interested in working with the TEI, analyzing parliamentary corpora, or simply would like to see a validated example of how FAIR and open data is implemented in the context of a PhD dissertation in Corpus Linguistics.

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    Authors: Hedges, M.; Aschenbrenner, Andreas; Blanke, T.; Haswell, E.;
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