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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

PaNOSC deliverable D9.4 - Dissemination and outreach activities aims to showcase the results of the strategy and work plan laid out in the project's WP on Outreach / Communication and Dissemination / Impact, to reach out to the widest number of stakeholders by using a mix of channels and tools, towards the overarching goal of driving a cultural change in the PaN user community, by stimulating the adoption of more FAIR Open Data practices among the PaN scientific community.

{"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.

Keynote talk given at the DH_Budapest_2022 & DARIAH Days conference, 23-25 November 2022 at ELTE in Budapest, Hungary. This talk explains in concrete details how the DARIAH Infrastructure acts as a force multiplier for Social Science and Humanities Research, enabling researchers to conduct groundbreaking research in an open, European environment.

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.

Oral archives and digital technologies have gone hand-in-hand for a very long time. Both sides benefit from this interdisciplinary junction: technology enhances the preservation and diffusion of oral materials, while exploiting them to develop cutting-edge tools for their treatment. This chapter deals with an Italian instantiation of this mutual relationship: the Archivio Vi.Vo. project. Offering innovative solutions concerning metadata, audio restoration, description, and access, Archivio Vi.Vo. aims to build an online platform to host the oral archives from Tuscany. The project is powered by CLARIN-IT, which guarantees its compliance with standards and offers resources for data access and discoverability. Archivio Vi.Vo. has not been built from scratch: it is instead a cross-fertilization of previous initiatives and research projects (e.g., the Gra.fo project). Moreover, the chapter presents the related, contemporary work of a multidisciplinary group striving to synthesize a Vademecum for future generations of oral archive researchers. Lastly, a brief list of tentative ideas for future developments of the Archivio Vi.Vo. platform will be presented.

This is the fourth discussion paper produced by the UK-Ireland Digital Humanities Network in consultation with the wider Digital Humanities (DH) Community in the two countries and beyond. It summarises the findings of the fourth workshop organised by the network, and offers recommendations based on these findings.

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