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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/
    Authors: Beata Koper; Tomasz Umerle; Vojtěch Malínek;

    Poster.

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    Other literature type . 2020
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      Other literature type . 2020
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    Authors: Maryl, Maciej; Błaszczyńska, Marta; Szulińska, Agnieszka; Rams, Paweł;

    John Unsworth (2000) proposed a tentative list of scholarly primitives, and although he made a reservation that it was not meant to be exhaustive, one omission is striking, namely the exclusion of communicating. It is even more visible once one realises that all the examples he provides in the paper of comparison IBabble), linking (Blake Archive), or sampling (VRML visualisation of Dante’s Inferno) have the indispensable communication component attached to them. The aim of this presentation is two-fold. First of all, we will reclaim the role of communication as one of the fundamental functional primitives, crucial in all stages of the research workflow. To use Unsworth’s nomenclature, communication takes advantage of the additive characteristics of scholarly primitives and enters into combinations with all other scholarly primitives. Secondly, right after reestablishing the communication as a scholarly primitive we will swiftly proceed to problematise the notion of its universality for all disciplines through exploration of the specificity of scholarly communication in the humanities. We will achieve that using New Panorama of Polish Literature (NPLP.pl) as a case-study, outlining the relevant digital infrastructure for the humanities. It has long been suggested that communication should be seen as a fundamental element of the research workflow, rather than an activity running somewhat separate to the research practice (Latour and Woolgar 1986; Garvey 1979; Galison and Galison 1997; Nielsen 2011). Recently this idea wass reinforced by Hillyer et al. (2017) who describe open science as “opening of the entire research cycle” and include communication as one of its key elements. It means that dissemination is no longer perceived as the final stage of a research process but becomes an integral part of all scholarly activities. New digital methods and tools (Dallas et al. 2017), including electronic communication and social media (Kjellberg 2010), facilitate this process. allowing scholars to communicate and collaborate with each other and the wider audience quickly and efficiently at all stages of their work. This also includes intermediary results of the work, including raw and secondary data (Castelli, Manghi, and Thanos 2013). The incorporation of communication into all stages of the research workflow also means that choosing a certain communication strategy is obviously influenced by the perceived goal, but also the goal influences other phases of the research process. This feedback loop more precisely on the example of NPLP, a research infrastructure for literary scholars enabling the creation of extended, multimedia monographs and presenting scholarly arguments through linking text with image, visualisation, map and video content. Yet, Creating a new digital collection forces researchers to rethink how their work is presented, categorised and displayed . For instance in "Postmodern Sienkiewicz" collection (http://nplp.pl/en/kolekcja/postmodern-sienkiewicz/) authors divided their articles into shorter fragments with additional iconography allowing for non-linear reading and access through image-interface. These activities required additional work on the stage of data collection, analysis and interpretation. In conclusion we will tackle upon the question remains to what extent such communication practices are universal for all sciences and what could be treated as reserved for the humanities in the spirit of Diltheyan disctinction between explaining (in sciences) and understanding (in the humanities). {"references": ["Castelli, D., P. Manghi, and C. Thanos. 2013. 'A Vision towards Scientific Communication Infrastructures: On Bridging the Realms of Research Digital Libraries and Scientific Data Centers'. International Journal on Digital Libraries 13 (3\u20134): 155\u201369. https://doi.org/10.1007/s00799-013-0106-7.", "Dallas, Costis, Nephelie Chatzidiakou, Agiatis Benardou, Michael Bender, Aur\u00e9lien Berra, Claire Clivaz, John Cunningham, et al. 2017. 'European Survey on Scholarly Practices and Digital Needs in the Arts and Humanities - Highlights Report'. Zenodo. https://doi.org/10.5281/zenodo.260101.", "Galison, Peter, and Joseph Pellegrino University Professor Peter Galison. 1997. Image and Logic: A Material Culture of Microphysics. University of Chicago Press.", "Garvey, WILLIAM D. 1979. 'CHAPTER 1 - The Role of Scientific Communication in the Conduct of Research and the Creation of Scientific Knowledge'. In Communication: The Essence of Science, edited by WILLIAM D. Garvey, 1\u201339. Pergamon. https://doi.org/10.1016/B978-0-08-023344-4.50006-4.", "Hillyer, Rebecca, Alejandro Posada, Denisse Albornoz, Leslie Chan, and Angela Okune. 2017. 'Framing a Situated and Inclusive Open Science: Emerging Lessons from the Open and Collaborative Science in Development Network'. 2017.", "Kjellberg, Sara. 2010. 'I Am a Blogging Researcher: Motivations for Blogging in a Scholarly Context'. First Monday 15 (8). https://doi.org/10.5210/fm.v15i8.2962.", "Latour, Bruno, and Steve Woolgar. 1986. Laboratory Life: The Construction of Scientific Facts. Princeton University Press.", "Nielsen, Michael A. 2011. Reinventing Discovery\u202f: The New Era of Networked Science. Princeton, N.J.: Princeton University Press. http://press.princeton.edu/titles/9517.html.", "Unsworth, John. 2000. 'Scholarly Primitives: What Methods Do Humanities Researchers Have in Common, and How Might Our Tools Reflect This?' In . King's College London. http://people.brandeis.edu/~unsworth/Kings.5-00/primitives.html."]}

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    Conference object . 2020
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    Other literature type . Article . 2020
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      Conference object . 2020
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      Other literature type . Article . 2020
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    Authors: Werla, Marcin; Maryl, Maciej;

    Wyniki ankiety przeprowadzonej w czerwcu 2014 wśród polskich humanistów. Opisy blisko 80 projektów z zakresu humanistyki cyfrowej. Results of the survey conducted in June 2014 among Polish reserchers in the humanities. Descriptions of almost 80 digital-humanities projects. ***DOCUMENT IN POLISH ***

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    Authors: Panagiotidou, Georgia; Poblome, Jeroen; Vandam, Ralf; Moere, Andrew Vande;

    Data visualisation is commonly used by (digital) humanities researchers to interact, explore, and analyse data as it can successfully support new readings into otherwise known data. Nevertheless, visualisations also tend to transmit a false sense of objectivity and finality in their depictions (Kennedy et al. 2016), as their design and their use of conventions, unwillingly hide underlying data issues and uncertainties from their user-readers. Accordingly, as historical datasets often contain partial, incomplete, biased or even contradictory data points, their visualisation can bring misguided confidence in the analysis. Accounting for data issues and uncertainties in data visualization is therefore a crucial challenge the humanities overall (Windhager, Salisu, and Mayr 2019). In this paper, we present SiteVis, an interactive visualisation for data analysis that tries to account for underlying data uncertainties of the archaeological dataset it represents. SiteVis was developed as part of the Sagalassos Archaeological Research Project and was the result of a two year-long collaboration between archaeologists and data visualization researchers. Located in south-west Turkey, the archaeological site and 1200 km2 wide study region of Sagalassos has been the focus of intensive interdisciplinary research for over thirty years. During this time, by means of excavation, extensive and intensive surveying, and geophysical and remote sensing research the project sampled over 300 locations in the region and assembled a comprehensive settlement dataset indicating past periods of human activity as well as the ecological contexts of these. SiteVis, was meant to facilitate the exploration of this dataset for insights and help answer questions such as why settlements were built at specific locations and what drove their continuity or instability over time. Underlying data issues, however, related to the project's deployment of discrepant data collection methods, the contextual field settings as well as various interpretational assumptions made in the data collection process, brought uncertainty to the emerging insights and provoked a critical stance from the archaeologists. Rather than overlook these issues, we instead encoded the archaeological methods alongside the core settlement dimensions, added features to make the interpretations transparent and allowed data to be viewed under different levels of assumption. We thus discuss the process of creating this visualisation, our design choices in relation to the issues we encountered as well as lessons learned from the deployment. We close with a critical reflection on how interfaces for the digital humanities can become more transparent and account for inherent uncertainties of humanities data. We believe that this paper will be of interest to humanities projects that use visual analytics as part of their research process and, just as archaeologists, only have access to partial, incomplete or even contradictory datasets. References Kennedy, Helen, Rosemary Lucy Hill, Giorgia Aiello, and William Allen. 2016. “The Work That Visualisation Conventions Do.” Information Communication and Society 19(6):715–35. Windhager, Florian, Saminu Salisu, and Eva Mayr. 2019. “Uncertainty of What and for Whom - And Does Anyone Care? Propositions for Cultural Collection Visualization.” Workshop on Visualization for the Digital Humanities (VIS4DH), Part of IEEE VIS.

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    Other literature type . 2021
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    Presentation . 2021
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      Other literature type . 2021
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      Presentation . 2021
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    Authors: Ri��ler-Pipka, Nanette; Barthauer, Raisa; Buddenbohm, Stefan; Calvo Tello, Jos��; +2 Authors

    The report refers to the call for user stories for the Text+ consortium in the context of the German National Research Data Infrastructure (NFDI). The user stories summited by scholars (mainly from the Humanities) present challenges or possible infrastructural solutions related to their individual research data. The report explains the context and methodology, as well as the decisions and steps taken during the call. It also provides an analysis of the major elements and categories of the user stories, and some reflexions for future measures. The data for the analysis is published in the DARIAH-DE Repository: http://dx.doi.org/10.20375/0000-000E-67ED-4.

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    Report . 2021
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    Report . 2021
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      Report . 2021
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      Report . 2021
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    Authors: Daems, Joke; Chambers, Sally; Verbruggen, Christophe; Zere, Tecle;

    International audience; The digital text platform is part of the Flemish contribution to DARIAH Belgium (DARIAH = Digital Research Infrastructure for the Arts and Humanities). The goal is to create a platform for the collaborative management and discovery of digitised textual collections that allows digital humanities researchers to prepare their corpora (consisting of, for example, digitised newspapers and books) for textual analysis. The platform will enable researchers to browse and search the digitised collections compiled, cleaned, enriched and managed by the researchers themselves. Once the relevant research sub-corpus has been compiled, data export tools, using standardised open formats (such as XML, JSON, .csv, .txt, etc.) will enable researchers to export sub-corpus for analysis with existing digital text analysis tools such as MALLET, (http://mallet.cs.umass.edu/topics.php) for topic modelling, VOYANT (http://voyant-tools.org) for data visualisation or AntConC (http://www.laurenceanthony.net/software/antconc/) for concordance and textual analysis.The platform has been conceived as part of a larger and modular virtual research environment service infrastructure (http://www.ghentcdh.ugent.be/projects/dariah-vl_vre.si). In a previous phase, possible frameworks and content management systems were tested, notably Islandora (a digital asset management system based on Fedora Commons and Drupal), but also Mediawiki and Omeka.One of the main challenges of the envisaged new platform is the possibility to integrate a wider variety of possible textual data streams (including a scan workflow). In addition, user-friendliness, scalability, adherence to standards and facilitating the interoperability of data are key issues to be addressed. The platform will build on the existing IIIF format, the International Image Interoperability Framework. This format is used by some of the most important libraries and cultural heritage institutions in the world, therefore providing access to enormous collections of digital objects. As the name suggests, IIIF is mainly focused on displaying and annotating images. However, we fully endorse the IIIF-community’s vision to develop an overarching interoperability framework for other data types, including all kinds of textual data. Benefits of the format include the interoperability, the ease of sharing images and annotations without the need to exchange files, and its support for multilingual data. In the months leading up to the conference, we will evaluate the existing IIIFpowered digital libraries and research projects and how they deal with practices of co-creation, data cleaning and enrichment of (structural) metadata. OCR improvement will become vital, as digital textual analysis can only be performed well on high-quality textual data. A related challenge will be combining the various input formats and converting them to different output formats required for analysis. In our poster, we will present a summary of our experiences with and technical assessment of our previous Islandora installation, in addition to our survey of the existing corpus management solutions. As a way of conclusion, we will introduce the envisioned new version of the platform.

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    Other literature type . 2017
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    Authors: Edward J. Gray;

    Slides presented at DARIAH-HR "Digital Humanities and Heritage" Conference on 15 October, 2021. (https://dhh.dariah.hr/en/home/) DARIAH is a European research infrastructure consortium (ERIC), dedicated to the arts and humanities. Founded in 2014, it has been a leader in promoting and enabling arts and humanities research as scholars confront the realities of research in a digital age. During this talk, we will examine how DARIAH is organized, and how this organization helps the consortium complete its missions of empowering arts and humanities researchers across Europe, and beyond. Particular attention will be paid to the ways in which different national DARIAH consortia, such as DARIAH-HR, are organized and interact with their national communities as a facilitator of digital arts and humanities research. Indeed, each Member country of DARIAH forms its own national consortium, which adapts to the needs and particularities of its communities in order to better serve them. This diversity is the strength of DARIAH, allowing for flexibility, though the commitment to our overall missions and values remains the same. After seven years of existence, DARIAH is coming into a phase of maturity, where exchanges between national nodes, as well as with the DARIAH Coordination Office and other European-level DARIAH bodies, allow for more integrated coordination between DARIAH nodes and a greater participation in our activities. This presentation will detail this new, dawning era for DARIAH by providing concrete examples of what DARIAH can and has done for arts and humanities research. These actions span from training and education efforts, to financial support, engagement in European research projects such as H2020 and Horizon Europe, logistical aid, and creating a space where researchers can meet and exchange.

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    Presentation . 2021
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    Authors: van Der Eycken, Johan; Styven, Dorien; Gheldof, Tom; Depoortere, Rolande;

    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

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    Authors: Moreo, Alejandro; Esuli, Andrea; Sebastiani, Fabrizio;

    Obtaining high-quality labelled data for training a classifier in a new application domain is often costly. Transfer Learning (a.k.a. “Inductive Transfer”) tries to alleviate these costs by transferring, to the “target” domain of interest, knowledge available from a different “source” domain. In transfer learning the lack of labelled information from the target domain is compensated by the availability at training time of a set of unlabelled examples from the target distribution. Transductive Transfer Learning denotes the transfer learning setting in which the only set of target documents that we are interested in classifying is known and available at training time. Although this definition is indeed in line with Vapnik’s original definition of “transduction”, current terminology in the field is confused. In this article, we discuss how the term “transduction” has been misused in the transfer learning literature, and propose a clarification consistent with the original characterization of this term given by Vapnik. We go on to observe that the above terminology misuse has brought about misleading experimental comparisons, with inductive transfer learning methods that have been incorrectly compared with transductive transfer learning methods. We then, give empirical evidence that the difference in performance between the inductive version and the transductive version of a transfer learning method can indeed be statistically significant (i.e., that knowing at training time the only data one needs to classify indeed gives an advantage). Our clarification allows a reassessment of the field, and of the relative merits of the major, state-of-the-art algorithms for transfer learning in text classification.

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    Authors: Birger Jerlehag;

    Discusses thew relations and dependencies between CoreTrustCertification and FAIR data objects principles.

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    Authors: Beata Koper; Tomasz Umerle; Vojtěch Malínek;

    Poster.

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    Authors: Maryl, Maciej; Błaszczyńska, Marta; Szulińska, Agnieszka; Rams, Paweł;

    John Unsworth (2000) proposed a tentative list of scholarly primitives, and although he made a reservation that it was not meant to be exhaustive, one omission is striking, namely the exclusion of communicating. It is even more visible once one realises that all the examples he provides in the paper of comparison IBabble), linking (Blake Archive), or sampling (VRML visualisation of Dante’s Inferno) have the indispensable communication component attached to them. The aim of this presentation is two-fold. First of all, we will reclaim the role of communication as one of the fundamental functional primitives, crucial in all stages of the research workflow. To use Unsworth’s nomenclature, communication takes advantage of the additive characteristics of scholarly primitives and enters into combinations with all other scholarly primitives. Secondly, right after reestablishing the communication as a scholarly primitive we will swiftly proceed to problematise the notion of its universality for all disciplines through exploration of the specificity of scholarly communication in the humanities. We will achieve that using New Panorama of Polish Literature (NPLP.pl) as a case-study, outlining the relevant digital infrastructure for the humanities. It has long been suggested that communication should be seen as a fundamental element of the research workflow, rather than an activity running somewhat separate to the research practice (Latour and Woolgar 1986; Garvey 1979; Galison and Galison 1997; Nielsen 2011). Recently this idea wass reinforced by Hillyer et al. (2017) who describe open science as “opening of the entire research cycle” and include communication as one of its key elements. It means that dissemination is no longer perceived as the final stage of a research process but becomes an integral part of all scholarly activities. New digital methods and tools (Dallas et al. 2017), including electronic communication and social media (Kjellberg 2010), facilitate this process. allowing scholars to communicate and collaborate with each other and the wider audience quickly and efficiently at all stages of their work. This also includes intermediary results of the work, including raw and secondary data (Castelli, Manghi, and Thanos 2013). The incorporation of communication into all stages of the research workflow also means that choosing a certain communication strategy is obviously influenced by the perceived goal, but also the goal influences other phases of the research process. This feedback loop more precisely on the example of NPLP, a research infrastructure for literary scholars enabling the creation of extended, multimedia monographs and presenting scholarly arguments through linking text with image, visualisation, map and video content. Yet, Creating a new digital collection forces researchers to rethink how their work is presented, categorised and displayed . For instance in "Postmodern Sienkiewicz" collection (http://nplp.pl/en/kolekcja/postmodern-sienkiewicz/) authors divided their articles into shorter fragments with additional iconography allowing for non-linear reading and access through image-interface. These activities required additional work on the stage of data collection, analysis and interpretation. In conclusion we will tackle upon the question remains to what extent such communication practices are universal for all sciences and what could be treated as reserved for the humanities in the spirit of Diltheyan disctinction between explaining (in sciences) and understanding (in the humanities). {"references": ["Castelli, D., P. Manghi, and C. Thanos. 2013. 'A Vision towards Scientific Communication Infrastructures: On Bridging the Realms of Research Digital Libraries and Scientific Data Centers'. International Journal on Digital Libraries 13 (3\u20134): 155\u201369. https://doi.org/10.1007/s00799-013-0106-7.", "Dallas, Costis, Nephelie Chatzidiakou, Agiatis Benardou, Michael Bender, Aur\u00e9lien Berra, Claire Clivaz, John Cunningham, et al. 2017. 'European Survey on Scholarly Practices and Digital Needs in the Arts and Humanities - Highlights Report'. Zenodo. https://doi.org/10.5281/zenodo.260101.", "Galison, Peter, and Joseph Pellegrino University Professor Peter Galison. 1997. Image and Logic: A Material Culture of Microphysics. University of Chicago Press.", "Garvey, WILLIAM D. 1979. 'CHAPTER 1 - The Role of Scientific Communication in the Conduct of Research and the Creation of Scientific Knowledge'. In Communication: The Essence of Science, edited by WILLIAM D. Garvey, 1\u201339. Pergamon. https://doi.org/10.1016/B978-0-08-023344-4.50006-4.", "Hillyer, Rebecca, Alejandro Posada, Denisse Albornoz, Leslie Chan, and Angela Okune. 2017. 'Framing a Situated and Inclusive Open Science: Emerging Lessons from the Open and Collaborative Science in Development Network'. 2017.", "Kjellberg, Sara. 2010. 'I Am a Blogging Researcher: Motivations for Blogging in a Scholarly Context'. First Monday 15 (8). https://doi.org/10.5210/fm.v15i8.2962.", "Latour, Bruno, and Steve Woolgar. 1986. Laboratory Life: The Construction of Scientific Facts. Princeton University Press.", "Nielsen, Michael A. 2011. Reinventing Discovery\u202f: The New Era of Networked Science. Princeton, N.J.: Princeton University Press. http://press.princeton.edu/titles/9517.html.", "Unsworth, John. 2000. 'Scholarly Primitives: What Methods Do Humanities Researchers Have in Common, and How Might Our Tools Reflect This?' In . King's College London. http://people.brandeis.edu/~unsworth/Kings.5-00/primitives.html."]}

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    Authors: Werla, Marcin; Maryl, Maciej;

    Wyniki ankiety przeprowadzonej w czerwcu 2014 wśród polskich humanistów. Opisy blisko 80 projektów z zakresu humanistyki cyfrowej. Results of the survey conducted in June 2014 among Polish reserchers in the humanities. Descriptions of almost 80 digital-humanities projects. ***DOCUMENT IN POLISH ***

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    Authors: Panagiotidou, Georgia; Poblome, Jeroen; Vandam, Ralf; Moere, Andrew Vande;

    Data visualisation is commonly used by (digital) humanities researchers to interact, explore, and analyse data as it can successfully support new readings into otherwise known data. Nevertheless, visualisations also tend to transmit a false sense of objectivity and finality in their depictions (Kennedy et al. 2016), as their design and their use of conventions, unwillingly hide underlying data issues and uncertainties from their user-readers. Accordingly, as historical datasets often contain partial, incomplete, biased or even contradictory data points, their visualisation can bring misguided confidence in the analysis. Accounting for data issues and uncertainties in data visualization is therefore a crucial challenge the humanities overall (Windhager, Salisu, and Mayr 2019). In this paper, we present SiteVis, an interactive visualisation for data analysis that tries to account for underlying data uncertainties of the archaeological dataset it represents. SiteVis was developed as part of the Sagalassos Archaeological Research Project and was the result of a two year-long collaboration between archaeologists and data visualization researchers. Located in south-west Turkey, the archaeological site and 1200 km2 wide study region of Sagalassos has been the focus of intensive interdisciplinary research for over thirty years. During this time, by means of excavation, extensive and intensive surveying, and geophysical and remote sensing research the project sampled over 300 locations in the region and assembled a comprehensive settlement dataset indicating past periods of human activity as well as the ecological contexts of these. SiteVis, was meant to facilitate the exploration of this dataset for insights and help answer questions such as why settlements were built at specific locations and what drove their continuity or instability over time. Underlying data issues, however, related to the project's deployment of discrepant data collection methods, the contextual field settings as well as various interpretational assumptions made in the data collection process, brought uncertainty to the emerging insights and provoked a critical stance from the archaeologists. Rather than overlook these issues, we instead encoded the archaeological methods alongside the core settlement dimensions, added features to make the interpretations transparent and allowed data to be viewed under different levels of assumption. We thus discuss the process of creating this visualisation, our design choices in relation to the issues we encountered as well as lessons learned from the deployment. We close with a critical reflection on how interfaces for the digital humanities can become more transparent and account for inherent uncertainties of humanities data. We believe that this paper will be of interest to humanities projects that use visual analytics as part of their research process and, just as archaeologists, only have access to partial, incomplete or even contradictory datasets. References Kennedy, Helen, Rosemary Lucy Hill, Giorgia Aiello, and William Allen. 2016. “The Work That Visualisation Conventions Do.” Information Communication and Society 19(6):715–35. Windhager, Florian, Saminu Salisu, and Eva Mayr. 2019. “Uncertainty of What and for Whom - And Does Anyone Care? Propositions for Cultural Collection Visualization.” Workshop on Visualization for the Digital Humanities (VIS4DH), Part of IEEE VIS.

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    Authors: Ri��ler-Pipka, Nanette; Barthauer, Raisa; Buddenbohm, Stefan; Calvo Tello, Jos��; +2 Authors

    The report refers to the call for user stories for the Text+ consortium in the context of the German National Research Data Infrastructure (NFDI). The user stories summited by scholars (mainly from the Humanities) present challenges or possible infrastructural solutions related to their individual research data. The report explains the context and methodology, as well as the decisions and steps taken during the call. It also provides an analysis of the major elements and categories of the user stories, and some reflexions for future measures. The data for the analysis is published in the DARIAH-DE Repository: http://dx.doi.org/10.20375/0000-000E-67ED-4.

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    Authors: Daems, Joke; Chambers, Sally; Verbruggen, Christophe; Zere, Tecle;

    International audience; The digital text platform is part of the Flemish contribution to DARIAH Belgium (DARIAH = Digital Research Infrastructure for the Arts and Humanities). The goal is to create a platform for the collaborative management and discovery of digitised textual collections that allows digital humanities researchers to prepare their corpora (consisting of, for example, digitised newspapers and books) for textual analysis. The platform will enable researchers to browse and search the digitised collections compiled, cleaned, enriched and managed by the researchers themselves. Once the relevant research sub-corpus has been compiled, data export tools, using standardised open formats (such as XML, JSON, .csv, .txt, etc.) will enable researchers to export sub-corpus for analysis with existing digital text analysis tools such as MALLET, (http://mallet.cs.umass.edu/topics.php) for topic modelling, VOYANT (http://voyant-tools.org) for data visualisation or AntConC (http://www.laurenceanthony.net/software/antconc/) for concordance and textual analysis.The platform has been conceived as part of a larger and modular virtual research environment service infrastructure (http://www.ghentcdh.ugent.be/projects/dariah-vl_vre.si). In a previous phase, possible frameworks and content management systems were tested, notably Islandora (a digital asset management system based on Fedora Commons and Drupal), but also Mediawiki and Omeka.One of the main challenges of the envisaged new platform is the possibility to integrate a wider variety of possible textual data streams (including a scan workflow). In addition, user-friendliness, scalability, adherence to standards and facilitating the interoperability of data are key issues to be addressed. The platform will build on the existing IIIF format, the International Image Interoperability Framework. This format is used by some of the most important libraries and cultural heritage institutions in the world, therefore providing access to enormous collections of digital objects. As the name suggests, IIIF is mainly focused on displaying and annotating images. However, we fully endorse the IIIF-community’s vision to develop an overarching interoperability framework for other data types, including all kinds of textual data. Benefits of the format include the interoperability, the ease of sharing images and annotations without the need to exchange files, and its support for multilingual data. In the months leading up to the conference, we will evaluate the existing IIIFpowered digital libraries and research projects and how they deal with practices of co-creation, data cleaning and enrichment of (structural) metadata. OCR improvement will become vital, as digital textual analysis can only be performed well on high-quality textual data. A related challenge will be combining the various input formats and converting them to different output formats required for analysis. In our poster, we will present a summary of our experiences with and technical assessment of our previous Islandora installation, in addition to our survey of the existing corpus management solutions. As a way of conclusion, we will introduce the envisioned new version of the platform.

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    Authors: Edward J. Gray;

    Slides presented at DARIAH-HR "Digital Humanities and Heritage" Conference on 15 October, 2021. (https://dhh.dariah.hr/en/home/) DARIAH is a European research infrastructure consortium (ERIC), dedicated to the arts and humanities. Founded in 2014, it has been a leader in promoting and enabling arts and humanities research as scholars confront the realities of research in a digital age. During this talk, we will examine how DARIAH is organized, and how this organization helps the consortium complete its missions of empowering arts and humanities researchers across Europe, and beyond. Particular attention will be paid to the ways in which different national DARIAH consortia, such as DARIAH-HR, are organized and interact with their national communities as a facilitator of digital arts and humanities research. Indeed, each Member country of DARIAH forms its own national consortium, which adapts to the needs and particularities of its communities in order to better serve them. This diversity is the strength of DARIAH, allowing for flexibility, though the commitment to our overall missions and values remains the same. After seven years of existence, DARIAH is coming into a phase of maturity, where exchanges between national nodes, as well as with the DARIAH Coordination Office and other European-level DARIAH bodies, allow for more integrated coordination between DARIAH nodes and a greater participation in our activities. This presentation will detail this new, dawning era for DARIAH by providing concrete examples of what DARIAH can and has done for arts and humanities research. These actions span from training and education efforts, to financial support, engagement in European research projects such as H2020 and Horizon Europe, logistical aid, and creating a space where researchers can meet and exchange.

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    Authors: van Der Eycken, Johan; Styven, Dorien; Gheldof, Tom; Depoortere, Rolande;

    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

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    Authors: Moreo, Alejandro; Esuli, Andrea; Sebastiani, Fabrizio;

    Obtaining high-quality labelled data for training a classifier in a new application domain is often costly. Transfer Learning (a.k.a. “Inductive Transfer”) tries to alleviate these costs by transferring, to the “target” domain of interest, knowledge available from a different “source” domain. In transfer learning the lack of labelled information from the target domain is compensated by the availability at training time of a set of unlabelled examples from the target distribution. Transductive Transfer Learning denotes the transfer learning setting in which the only set of target documents that we are interested in classifying is known and available at training time. Although this definition is indeed in line with Vapnik’s original definition of “transduction”, current terminology in the field is confused. In this article, we discuss how the term “transduction” has been misused in the transfer learning literature, and propose a clarification consistent with the original characterization of this term given by Vapnik. We go on to observe that the above terminology misuse has brought about misleading experimental comparisons, with inductive transfer learning methods that have been incorrectly compared with transductive transfer learning methods. We then, give empirical evidence that the difference in performance between the inductive version and the transductive version of a transfer learning method can indeed be statistically significant (i.e., that knowing at training time the only data one needs to classify indeed gives an advantage). Our clarification allows a reassessment of the field, and of the relative merits of the major, state-of-the-art algorithms for transfer learning in text classification.

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    Authors: Birger Jerlehag;

    Discusses thew relations and dependencies between CoreTrustCertification and FAIR data objects principles.

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