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97 Research products

  • DARIAH EU
  • 2018-2022
  • Open Access
  • EU
  • DARIAH EU
  • Digital Humanities and Cultural Heritage

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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: Barbot, Laure; Papaki, Eliza; Giuffrida, Maria; Willems, Marieke;

    The Social Sciences and Humanities communities needed a central point to gather and exchange information about their tools, services, and datasets. Although plenty of project websites, service registries, and data repositories existed, they were mostly fragmented. The lack of contextualisation connecting these assets and offering domain-relevant means to discuss and enrich them was evident. Also, there was a need to digitalise this research domain which, in most cases, was not yet digital native. This siloed environment was the challenge SSHOC set out to bridge in January 2019. The solution to solve this problems was found in the SSH Open Marketplace, delivered in 2022. It is a discovery platform supporting researchers in the multi-faceted domain of humanities and social sciences at every step of the research data lifecycle. The SSH Open Marketplace is available on the EOSC Portal and was developed by SSHOC The full list of EOSC in practice stories is available here

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    Authors: Gray, Edward;

    Keynote presentation at Aalto's DARIAH Day on 30 November 2022, focused on the concrete ways in which DARIAH-EU lifts up scholars to enable them to do cutting-edge SSH research.

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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: Katsianis, Markos; Nenova, Denitsa;

    {"references": ["Bekiari, C., Bruseker, G., Doerr, M., Ore, C.-E., Stead, S. & Velios, A. June 2022. Definition of the CIDOC Conceptual Reference Model. Version 7.1.2. CIDOC CRM Special Interest Group. https://cidoc-crm.org/sites/default/files/cidoc_crm_version_7.1.2.pdf.", "Doerr, M. & Theodoridou, M. 2014. CRMdig. An extension of CIDOC-CRM to support provenance metadata. Version 3.2. http://www.cidoc-crm.org/crmdig/sites/default/files/CRMdig3.2.pdf.", "Doerr, M. et al. 2019. Definition of the CRMarchaeo. An extension of CIDOC-CRM to support the archaeological excavation process. Version 1.4.8. PIN, University of Florence, Italy. http://www.cidoc-crm.org/crmarchaeo/sites/default/files/CRMarchaeo_v1.4.8.pdf.", "Doerr, M. et al. 2020. Definition of the CRMsci. An Extension of CIDOC-CRM to support scientific observation. Version 1.2.8. http://www.cidoc-crm.org/crmsci/sites/default/files/CRMsci%20v.1.2.8.pdf.", "Felicetti, A., Meghini, C., Richards, J., Theodoridou, M. 2021. Towards the AO-Cat Ontology. Version: 1.1.", "Hiebel, G., Doerr, M., Eide, \u00d8. Theodoridou, M. et al. 2015 (September). CRMgeo: a Spatiotemporal Model An Extension of CIDOC-CRM to link the CIDOC CRM to GeoSPARQL through a Spatiotemporal Refinement. Proposal for approval by CIDOC CRM-SIG Version 1.2. https://cidoc-crm.org/crmgeo/sites/default/files/CRMgeo1_2.pdf.", "Katsianis, M., & Styliaras, G. (eds) 2022. Virtual Workshop on Semantic mapping of archaeological excavation data (1.0), with contributions by Bruseker, G., Derudas, P., Hiebel, G., Hivert, F., Katsianis, M., Kritsotakis, V., Marlet, O., Nenova, D., Nurra, F., Styliaras, G., Ore, C. E., Theodoridou, M.. Zenodo. https://doi.org/10.5281/zenodo.7112918.", "Nenova, D., Bruseker, G., Derudas, P., Hiebel, G., Hivert, F., Katsianis, M., Marlet, O., Opitz, R., Ore, C.-E., & Uleberg, E., 2022 (September 27). Bringing Excavation Data Together. Are We There Yet and Where is That?. 28th EAA Annual Meeting (EAA 2022), Budapest, Hungary. Zenodo. https://doi.org/10.5281/zenodo.7117049.", "Paveprime and collaborators 2018. CRMinf: the Argumentation Model. An extension of CIDOC-CRM to support argumentation. Version 0.10. https://cidoc-crm.org/crminf/sites/default/files/CRMinf%20ver%2010.1.pdf.", "Ronzino, P., Niccolucci, F., Felicetti, A., Doerr, M. et al. 2014 (December). Definition of the CRMba An extension of CIDOC CRM to support buildings archaeology documentation. Proposal for approval by CIDOC CRM-SIG. Version 1.4. PIN S.c.r.l. https://cidoc-crm.org/crmba/sites/default/files/2016-12-3%23CRMba_v1.4.1_UR.pdf."]} The present report outlines and summarises the activity of the Archaeological Excavation Modelling Working Group, a sub-group that was formed within WP 4.4.12. The group has been active since June 2020. The group was formed to investigate the potential of developing an Application Profile for excavation data, explore the current state of excavation data modelling and propose a roadmap for further activities. During the ARIADNEplus project, group participants have convened eight times, organised a virtual workshop on excavation data modelling and prepared two presentations, one at an ARIADNEplus meeting and another targeting wider audiences (EAA2022). The entire work of the group is summarised in the present report and attached annexes.

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    Authors: Wissik, Tanja; Wessels, Leon; Fischer, Frank; Fišer, Darja; +3 Authors

    This chapter presents the Digital Humanities Course Registry (DHCR) as part of CLARIN’s Technical and Knowledge Infrastructure. The DHCR is an initia-tive started to provide an overview of the growing number of training activities in the field of Digital Humanities around the world. The goal of the registry, which is run jointly with DARIAH, is to collect information on the rich offerings of different courses with the help of the community and to delineate an up-to-date picture of the teaching and training opportunities in the field. First, we will introduce the DHCR, its goals, genesis, and main features. Then we will elaborate on the DHCR’s position within CLARIN’s Technical Infrastructure and how it helps to address CLARIN’s agenda and strategic goals in terms of Technical Infrastruc-ture, Open Science, and especially the FAIR Principles. Particular attention will be paid to the results of a cross-national hackathon using data and metadata from the DHCR. Furthermore, we will examine the position of the DHCR within CLAR-IN’s Knowledge Infrastructure, which includes training and education.

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    Authors: Di Donato, Francesca; Eskevich, Maria; Provost, Lottie; Kraker, Peter; +10 Authors

    The report Open Science within the EOSC collects the findings of T6.3 EOSC guidelines training and advocacy on Open Science, whose main goal is to produce, adapt and reuse general and specific guidelines to implement Open Science practices in disciplinary contexts, as well as to provide training to the SSH community on Open Science practices, tools and EOSC related content. In T6.3 we delivered 12 training sessions and all training materials are published in open access1. In addition, we designed, developed and implemented an open workflow for the definition and management of the Open Science Training series, through the definition of a TRIPLE Training Toolkit, which reproduces the guidelines that have been designed and implemented to produce FAIR-by design training events. This set of documents constitutes section 1 of the present deliverable. Moreover, section 2 of the report presents four use-cases which address Open Science-related issues from different perspectives. The first subsection (CNR) sheds light on pathways for interdisciplinary collaboration and managing networking challenges. The second subsection (OKMAPS) addresses the need for improved discoverability of resources across research publications, research data and research projects. The third (CLARIN) shows how the connection between data, tools and publications can be implemented and made public. A model is explored to enrich the metadata about language resource data and tools from the CLARIN Resource Families with related publications, making use of the GoTriple platform. This cross-connects the CLARIN Virtual Language Observatory, the SSHOC Open Marketplace and the GoTriple platform. The last subsection (CESSDA) examines the balance between making data more accessible and aligning with legal restrictions. It explains how data is aligned internally to make them easily harvestable, and how, in turn, enrichment features from EOSC (OpenAIRE) and GoTriple systems will be used to improve data at their original sources. The TRIPLE project (https://project.gotriple.eu/), which is financed under the Horizon 2020 framework (https://cordis.europa.eu/project/id/863420), under Grant Agreement No. 863420, with approx. 5.6 million Euros for a duration of 42 months (2019-2023). The content of this deliverable reflects only TRIPLE's view and the Commission is not responsible for any use that may be made of the information it contains. --- At the heart of the project is the development of the GoTriple platform (https://www.gotriple.eu/), an innovative multilingual and multicultural discovery solution.

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    Reproducible research (Reproducible research is when data can be reanalysed taking the same steps and producing the same or similar result) is being implemented at different speeds in different disciplines, and Archaeology, as a discipline that sits at the intersection of the sciences and humanities, is at the start of this journey. Enabling reproducibility of your work by others is an important step in ensuring research quality. There are currently many barriers to moving towards reproducible research such as upskilling researchers in the practices, software and infrastructure needed to do reproducible research and also the need to address how we can, as a discipline, deal with issues like sensitive data. In this article, we seek to introduce reproducible research in an understandable manner so that archaeological researchers can learn where and how to start with this approach. We describe what reproducible archaeological research can look like and suggest three different computational skill levels of constructing reproducible research workflows (a research workflow is the different parts of a research lifecycle such as data collection, data analysis, data archiving, etc, and making all stages reproducible by using a history tracking system (version control) and transparent documation). Finally, in an extensive appendix, we address common questions about reproducible research to remove the stigma about these issues and suggest ways to overcome them.

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    Authors: van der Lek, Iulianna; Besamusca, Janna; Rißler-Pipka, Nanette;

    User Story resulting from the SSHOC'n Tell Challenge.

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    Authors: Ivana Ilijasic Versic; Franciska de Jong; Giovanni Lamanna; Ute Gunsenheimer; +2 Authors

    Moderator: Ivana Ilijasic Versic (CESSDA, SSHOC) Reporting back on Policy Discussions. Collaboration opportunities after SSHOC and Agreements - Franciska de Jong (CLARIN) ESFRI Cluster projects - Giovanni Lamanna (ESCAPE) EOSC Association - Ute Gunsenheimer (EOSC Association) EOSC Future - Ron Dekker (Technopolis Group, EOSC Future) Data Communities - Laura Morales (SciencesPo, SSHOC, Member of EOSC Researcher Engagement & Adoption Task Force, EOSC Future User Group) Panel discussion with: Franciska de Jong (CLARIN), Giovanni Lamanna (ESCAPE), Rudolf Dimper (PANOSC), Ute Gunsenheimer (EOSC Association), Ron Dekker (Technopolis Group, EOSC Future) and (Laura Morales, SciencesPo, SSHOC, Member of EOSC Researcher Engagement & Adoption Task Force, EOSC Future User Group)

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    Authors: Versic, Ivana Ilijasic; De Jong, Franciska; Lamanna, Giovanni; Gunsenheimer, Ute; +2 Authors

    Moderator: Ivana Ilijasic Versic (CESSDA, SSHOC) Reporting back on Policy Discussions. Collaboration opportunities after SSHOC and Agreements - Franciska de Jong (CLARIN) ESFRI Cluster projects - Giovanni Lamanna (ESCAPE) EOSC Association - Ute Gunsenheimer (EOSC Association) EOSC Future - Ron Dekker (Technopolis Group, EOSC Future) Data Communities - Laura Morales (SciencesPo, SSHOC, Member of EOSC Researcher Engagement & Adoption Task Force, EOSC Future User Group) Panel discussion with: Franciska de Jong (CLARIN), Giovanni Lamanna (ESCAPE), Rudolf Dimper (PANOSC), Ute Gunsenheimer (EOSC Association), Ron Dekker (Technopolis Group, EOSC Future) and (Laura Morales, SciencesPo, SSHOC, Member of EOSC Researcher Engagement & Adoption Task Force, EOSC Future User Group)

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    Authors: Wittenberg, Marion; Tykhonov, Vyacheslav; Indarto, Eko; Steinhoff, Wilko; +6 Authors

    Within task 5.2 (Hosting and sharing data repositories) of the SSHOC project, repository software is being developed based on Dataverse, for the sharing and publication of research data within the Social Science and Humanities (SSH) domain. Dataverse is open-source research data repository software developed by the Institute for Quantitative Social Science (IQSS), Harvard University. This document describes the work done by task 5.2, for the development of ‘Archive in a Box’ repository software and proof of concept of centralised installation in the cloud. The ‘Archive in a Box’ makes the installation of Dataverse repository software easier for institutes with a lack of technical staff. This document describes the advantages of such a package. Additionally, task 5.2 worked on a proof of concept of a centralised cloud installation of the Dataverse software at the Google cloud infrastructure of CESSDA ERIC. A cloud installation makes it possible to automate the installation and keep the application up and running, for instance by scaling up or down resources when needed. Another advantage of a cloud orchestrator is the ability to start a new component or part of the application, if it should fail for some reason. Furthermore, task 5.2 developed several additional functionalities to the Dataverse software to make the software more compliant to the needs of the SSH communities in Europe. This document describes the results of the accomplished work, and refers to technical details published in GitHub repositories. Already many of the results of task 5.2 are used by the European and Global Dataverse community and some functionalities are integrated in the new versions of the Dataverse master branch of Harvard.

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    Authors: Barbot, Laure; Papaki, Eliza; Giuffrida, Maria; Willems, Marieke;

    The Social Sciences and Humanities communities needed a central point to gather and exchange information about their tools, services, and datasets. Although plenty of project websites, service registries, and data repositories existed, they were mostly fragmented. The lack of contextualisation connecting these assets and offering domain-relevant means to discuss and enrich them was evident. Also, there was a need to digitalise this research domain which, in most cases, was not yet digital native. This siloed environment was the challenge SSHOC set out to bridge in January 2019. The solution to solve this problems was found in the SSH Open Marketplace, delivered in 2022. It is a discovery platform supporting researchers in the multi-faceted domain of humanities and social sciences at every step of the research data lifecycle. The SSH Open Marketplace is available on the EOSC Portal and was developed by SSHOC The full list of EOSC in practice stories is available here

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    Authors: Gray, Edward;

    Keynote presentation at Aalto's DARIAH Day on 30 November 2022, focused on the concrete ways in which DARIAH-EU lifts up scholars to enable them to do cutting-edge SSH research.

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    Authors: Katsianis, Markos; Nenova, Denitsa;

    {"references": ["Bekiari, C., Bruseker, G., Doerr, M., Ore, C.-E., Stead, S. & Velios, A. June 2022. Definition of the CIDOC Conceptual Reference Model. Version 7.1.2. CIDOC CRM Special Interest Group. https://cidoc-crm.org/sites/default/files/cidoc_crm_version_7.1.2.pdf.", "Doerr, M. & Theodoridou, M. 2014. CRMdig. An extension of CIDOC-CRM to support provenance metadata. Version 3.2. http://www.cidoc-crm.org/crmdig/sites/default/files/CRMdig3.2.pdf.", "Doerr, M. et al. 2019. Definition of the CRMarchaeo. An extension of CIDOC-CRM to support the archaeological excavation process. Version 1.4.8. PIN, University of Florence, Italy. http://www.cidoc-crm.org/crmarchaeo/sites/default/files/CRMarchaeo_v1.4.8.pdf.", "Doerr, M. et al. 2020. Definition of the CRMsci. An Extension of CIDOC-CRM to support scientific observation. Version 1.2.8. http://www.cidoc-crm.org/crmsci/sites/default/files/CRMsci%20v.1.2.8.pdf.", "Felicetti, A., Meghini, C., Richards, J., Theodoridou, M. 2021. Towards the AO-Cat Ontology. Version: 1.1.", "Hiebel, G., Doerr, M., Eide, \u00d8. Theodoridou, M. et al. 2015 (September). CRMgeo: a Spatiotemporal Model An Extension of CIDOC-CRM to link the CIDOC CRM to GeoSPARQL through a Spatiotemporal Refinement. Proposal for approval by CIDOC CRM-SIG Version 1.2. https://cidoc-crm.org/crmgeo/sites/default/files/CRMgeo1_2.pdf.", "Katsianis, M., & Styliaras, G. (eds) 2022. Virtual Workshop on Semantic mapping of archaeological excavation data (1.0), with contributions by Bruseker, G., Derudas, P., Hiebel, G., Hivert, F., Katsianis, M., Kritsotakis, V., Marlet, O., Nenova, D., Nurra, F., Styliaras, G., Ore, C. E., Theodoridou, M.. Zenodo. https://doi.org/10.5281/zenodo.7112918.", "Nenova, D., Bruseker, G., Derudas, P., Hiebel, G., Hivert, F., Katsianis, M., Marlet, O., Opitz, R., Ore, C.-E., & Uleberg, E., 2022 (September 27). Bringing Excavation Data Together. Are We There Yet and Where is That?. 28th EAA Annual Meeting (EAA 2022), Budapest, Hungary. Zenodo. https://doi.org/10.5281/zenodo.7117049.", "Paveprime and collaborators 2018. CRMinf: the Argumentation Model. An extension of CIDOC-CRM to support argumentation. Version 0.10. https://cidoc-crm.org/crminf/sites/default/files/CRMinf%20ver%2010.1.pdf.", "Ronzino, P., Niccolucci, F., Felicetti, A., Doerr, M. et al. 2014 (December). Definition of the CRMba An extension of CIDOC CRM to support buildings archaeology documentation. Proposal for approval by CIDOC CRM-SIG. Version 1.4. PIN S.c.r.l. https://cidoc-crm.org/crmba/sites/default/files/2016-12-3%23CRMba_v1.4.1_UR.pdf."]} The present report outlines and summarises the activity of the Archaeological Excavation Modelling Working Group, a sub-group that was formed within WP 4.4.12. The group has been active since June 2020. The group was formed to investigate the potential of developing an Application Profile for excavation data, explore the current state of excavation data modelling and propose a roadmap for further activities. During the ARIADNEplus project, group participants have convened eight times, organised a virtual workshop on excavation data modelling and prepared two presentations, one at an ARIADNEplus meeting and another targeting wider audiences (EAA2022). The entire work of the group is summarised in the present report and attached annexes.

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    Authors: Wissik, Tanja; Wessels, Leon; Fischer, Frank; Fišer, Darja; +3 Authors

    This chapter presents the Digital Humanities Course Registry (DHCR) as part of CLARIN’s Technical and Knowledge Infrastructure. The DHCR is an initia-tive started to provide an overview of the growing number of training activities in the field of Digital Humanities around the world. The goal of the registry, which is run jointly with DARIAH, is to collect information on the rich offerings of different courses with the help of the community and to delineate an up-to-date picture of the teaching and training opportunities in the field. First, we will introduce the DHCR, its goals, genesis, and main features. Then we will elaborate on the DHCR’s position within CLARIN’s Technical Infrastructure and how it helps to address CLARIN’s agenda and strategic goals in terms of Technical Infrastruc-ture, Open Science, and especially the FAIR Principles. Particular attention will be paid to the results of a cross-national hackathon using data and metadata from the DHCR. Furthermore, we will examine the position of the DHCR within CLAR-IN’s Knowledge Infrastructure, which includes training and education.

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    Authors: Di Donato, Francesca; Eskevich, Maria; Provost, Lottie; Kraker, Peter; +10 Authors

    The report Open Science within the EOSC collects the findings of T6.3 EOSC guidelines training and advocacy on Open Science, whose main goal is to produce, adapt and reuse general and specific guidelines to implement Open Science practices in disciplinary contexts, as well as to provide training to the SSH community on Open Science practices, tools and EOSC related content. In T6.3 we delivered 12 training sessions and all training materials are published in open access1. In addition, we designed, developed and implemented an open workflow for the definition and management of the Open Science Training series, through the definition of a TRIPLE Training Toolkit, which reproduces the guidelines that have been designed and implemented to produce FAIR-by design training events. This set of documents constitutes section 1 of the present deliverable. Moreover, section 2 of the report presents four use-cases which address Open Science-related issues from different perspectives. The first subsection (CNR) sheds light on pathways for interdisciplinary collaboration and managing networking challenges. The second subsection (OKMAPS) addresses the need for improved discoverability of resources across research publications, research data and research projects. The third (CLARIN) shows how the connection between data, tools and publications can be implemented and made public. A model is explored to enrich the metadata about language resource data and tools from the CLARIN Resource Families with related publications, making use of the GoTriple platform. This cross-connects the CLARIN Virtual Language Observatory, the SSHOC Open Marketplace and the GoTriple platform. The last subsection (CESSDA) examines the balance between making data more accessible and aligning with legal restrictions. It explains how data is aligned internally to make them easily harvestable, and how, in turn, enrichment features from EOSC (OpenAIRE) and GoTriple systems will be used to improve data at their original sources. The TRIPLE project (https://project.gotriple.eu/), which is financed under the Horizon 2020 framework (https://cordis.europa.eu/project/id/863420), under Grant Agreement No. 863420, with approx. 5.6 million Euros for a duration of 42 months (2019-2023). The content of this deliverable reflects only TRIPLE's view and the Commission is not responsible for any use that may be made of the information it contains. --- At the heart of the project is the development of the GoTriple platform (https://www.gotriple.eu/), an innovative multilingual and multicultural discovery solution.

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    Reproducible research (Reproducible research is when data can be reanalysed taking the same steps and producing the same or similar result) is being implemented at different speeds in different disciplines, and Archaeology, as a discipline that sits at the intersection of the sciences and humanities, is at the start of this journey. Enabling reproducibility of your work by others is an important step in ensuring research quality. There are currently many barriers to moving towards reproducible research such as upskilling researchers in the practices, software and infrastructure needed to do reproducible research and also the need to address how we can, as a discipline, deal with issues like sensitive data. In this article, we seek to introduce reproducible research in an understandable manner so that archaeological researchers can learn where and how to start with this approach. We describe what reproducible archaeological research can look like and suggest three different computational skill levels of constructing reproducible research workflows (a research workflow is the different parts of a research lifecycle such as data collection, data analysis, data archiving, etc, and making all stages reproducible by using a history tracking system (version control) and transparent documation). Finally, in an extensive appendix, we address common questions about reproducible research to remove the stigma about these issues and suggest ways to overcome them.

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