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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.

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.

International audience

{"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.

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.

OpenAIRE Research Graph as an aggregator of CRIS systems is held during the "DARIAH Bibliographical Data WG’s Open Online Workshop" with the topic: Databases and information systems for research output: digital humanities outlook on September, 30th 2022. This invited talk presents the OpenAIRE Research Graph as an aggregator of Current Research Information Systems (CRIS) in a nutshell.

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

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.