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The poster showcases the publication "Research Data Management for Arts and Humanities: Integrating Voices of the Community" issued in 2023 by the DARIAH (Digital Research Infrastructure for the Humanities and Arts) Working Group on Research Data Management. The collective, open-access volume brings together case studies and consolidated experiences with a strong pan-European approach.

OPERAS Innovation Lab provides targeted guidance for scholars seeking to disseminate their outputs in an innovative way. This poster presents three case studies of workflows for innovative scholarly communication: 1) toolkit/anthology; 2) interdisciplinary online journal; 3) software services. The workflows will serve as blueprints for SSH scholars.

The TEITOK REST API lets you interact with your corpus remotely - to upload documents in various formats - automatically converted to TEI/XML; to render search results; to run an NLP pipeline on the server; or download the content of corpus document, treat that content locally with local NLP tools or manual annotation tools, and then upload the results back to the server, where the new or corrected annotations will be incorporated into the original TEI/XML document without destroying any of the potentially complex annotations already in the document.

Scholars see innovative means of disseminating their work and data as a chance to improve the process of sharing ideas with different audiences, thanks to technological affordances. They understand innovation either in terms of form (novel means of communicating ideas through different media), or access (opening up outputs and making them easily accessible) (cf. Maryl and Błaszczyńska 2021, p. 34). What we consider a “scholarly text” has thus become understood as an expression that can employ different media and engage creatively with underlying data. However, engaging with novel forms of communication poses new challenges to scholars, who may lack competencies, know-how, or adequate resources to take full advantage of innovative outputs (Tasovac et al. 2018). This presentation will outline the means of support provided by OPERAS Innovation Lab in establishing interdisciplinary, collaborative workflows for supporting innovative outputs in social sciences and humanities (SSH) throughout their lifecycle. The Lab provides guidelines on how to create and sustain FAIR innovative outputs in the SSH. The poster will highlight the ideas behind creating the OPERAS Innovation Lab and the activities that the Lab engages in.

En este trabajo presentamos un nuevo conjunto de datos y benchmark orientados a la tarea de similitud semántica en letras de canciones. Nuestro conjunto de datos, originalmente formado por 2775 pares de canciones en Español, fue anotado en un experimento de anotación colectivo por 63 anotadores nativos. Después de recoger y refinar los datos para asegurar un alto grado de consenso e integridad en los datos, obtuvimos 676 pares anotados de alta calidad que fueron empleados para evaluar el rendimiento de diferentes modelos del lenguaje monolingües y multilingües pertenecientes al estado del arte. En consecuencia, obtuvimos unos resultados base que esperamos sean de utilidad a la comunidad en todas aquellas aplicaciones académicas e industriales futuras que se realicen en este contexto. In this paper, we present a new dataset and benchmark tailored to the task of semantic similarity in song lyrics. Our dataset, originally consisting of 2775 pairs of Spanish songs, was annotated in a collective annotation experiment by 63 native annotators. After collecting and refining the data to ensure a high degree of consensus and data integrity, we obtained 676 high-quality annotated pairs that were used to evaluate the performance of various state-of-the-art monolingual and multilingual language models. Consequently, we established baseline results that we hope will be useful to the community in all future academic and industrial applications conducted in this context. This research has been carried out in the framework of the Grant LyrAIcs Grant agreement ID: 964009 funded by ERC-POCLS, and in the framework of the Grant CLS INFRA reference 101004984 funded by H2020-INFRAIA-2020-1. It has also received funding from the project ISL: Intelligent Systems for Learning (GID2016-39) in the call PID 22/23, and from FAIRTRANSNLP-DIAGNOSIS: Measuring and quantifying bias and fairness in NLP systems, grant PID2021-124361OB-C32, funded by MCIN/AEI/10.13039/501100011033 and by ERDF, EU A way of making Europe. Alejandro Benito-Santos acknowledges support from the postdoctoral grant ”Margarita Salas”, awarded by the Spanish Ministry of Universities.

***ENGLISH BELOW*** Streszczenie Artykuł prezentuje analizę problematyki poruszanej na łamach „Tekstów Drugich” w latach 1990–2012 z wykorzystaniem metody modelowania tematycznego. Na podstawie 1923 artykułów z tego okresu autorzy uzyskali i poddali interpretacji 120 wyłonionych automatycznie słowozbiorów, tj. tematów obecnych na łamach pisma. Wyróżniono tematy stałe, a także takie, którymi zainteresowanie rosło lub malało. Zastosowanie metod ilościowych pozwoliło ująć historię dyscypliny nie tyle jako serię odrębnych etapów, ile ciągły proces, w ramach którego współistnieją różne konfiguracje zagadnień. ABSTRACT Topic modeling on „Second Texts” The paper analyses the thematic structure in the issues of the literary journal Second Texts, in the years 1990–2012, using the topic modelling methodology. On the basis of 1,923 articles from this period, the authors obtained and interpreted 120 automatically inferred topics from the subsequent issues of the journal. The analysis allowed for identification of permanent and seasonal topics, which appeared with growing or declining frequency overtime. The application of quantitative methods has made it possible to capture the history of the discipline not so much as a series of distinct phases, but rather as a continuous process built from different configurations of co-existing research interests.

This paper draws on a survey of contemporary collecting projects aiming to document the COVID-19 pandemic in museums and other memory organizations. The survey focused on European memory organizations and investigated the practices they adopted in collecting, accessioning, recording, preserving, and displaying material and immaterial witnesses of the pandemic. This paper presents the results of the survey, with a particular attention on the challenges faced by these projects in relation to born-digital objects. It discusses how organizations were able to quickly launch initiatives aimed at collecting memories of the pandemic, drawing on different collection methods, adapting to the circumstances, and using a proactive attitude to reach out to different communities. The paper highlights the solutions adopted to ensure legal compliance in these projects and discusses the need for ethical considerations in relation to the collection of traumatic memories. It suggests that these collecting projects are likely to face significant challenges in the subsequent processing of this material—due to its volume and the need for new digital curation and preservation workflows. Therefore, the paper argues that these projects could also lead to a renewed attention and collaboration across the heritage sector on issues of digital curation and preservation.

This talk outlines a vision for Common European Data Spaces, proposed by the European Commission, where FAIR principles (Wilkinson et al. 2016) and FAIR Digital Objects (FDOs) (De Smedt et al. 2020, Schwardmann 2020) can play a role in bringing together research infrastructures, data aggregators and other stakeholders working with curated objects in museums, herbaria, libraries and archives. The organisations and stakeholders involved represent a wide range of disciplines and data types including biodiversity, ecology, anthropology, archaeology, cultural history, digital storytelling, art conservation, and history of science among others (ICEDIG 2020, Ortolja-Baird and Nyhan 2021). The context and the history of the curated objects also span the natural sciences and cultural heritage domains (Nadim 2021, Weber 2021). Despite this heterogeneity, various common themes in the area of digital curation, open access, and data usage (Tasovac et al. 2020) appear where FDOs and Common European Data Spaces can be a useful venue for supporting the European Strategy for Data. In particular, FDOs, as an abstraction mechanism to structure and describe digital artefacts from a specific domain yet at the same time provide interoperability (De Smedt et al. 2020), can help realise the vision behind a common data space to “bring together relevant data infrastructures and governance frameworks in order to facilitate data pooling and sharing” (European Commission 2022:2). A May 2022 report on the challenges and opportunities of European Common Data Spaces highlights the following points: Open data holders have extensive experience in data publishing, metadata management, data quality, dataset discovery, data federation, as well as tried-and-tested standards (e.g. DCAT) and technologies. There seems to be very little knowledge/technology transfer from the open data community to the data spaces community, which is a missed opportunity. Data space implementations should not reinvent wheels that the open data community has already developed, tested, and used extensively. Whether the data is private, shared, or open, using data from multiple sources requires interoperability at several levels, from identifiers to vocabularies. The question of which data intermediaries will act as neutral agents to ensure interoperability is underexplored in the data space context. Public administrations, building on their experience of publishing open data, are best placed to take on such roles Open data holders have extensive experience in data publishing, metadata management, data quality, dataset discovery, data federation, as well as tried-and-tested standards (e.g. DCAT) and technologies. There seems to be very little knowledge/technology transfer from the open data community to the data spaces community, which is a missed opportunity. Data space implementations should not reinvent wheels that the open data community has already developed, tested, and used extensively. Whether the data is private, shared, or open, using data from multiple sources requires interoperability at several levels, from identifiers to vocabularies. The question of which data intermediaries will act as neutral agents to ensure interoperability is underexplored in the data space context. Public administrations, building on their experience of publishing open data, are best placed to take on such roles Building on previous conversations facilitated by DiSSCo, DARIAH, Europeana, and Archives Portal Europe Foundation, (Europeana Conference 2021, DARIAH Annual Event 2022), this talk will address the above points from the perspective of bringing together the domains of natural history museums, cultural heritage, and digital humanities. Within our collaboration, we have identified several common areas such as data discoverability, linking, and providing contextual information, which align with the goal of FDO implementation. DiSSCo and DARIAH as European infrastructures, on the one hand, and Europeana and Archives Portal as data aggregators, on the other hand, are involved in improving access to data and the researchers' capacity to work with heterogeneous data sources. One of the biggest shared challenges across the diverse workflows in the arts and humanities and natural history domains is that the data curation processes form a natural continuum between a range of different actors working either in cultural heritage institutions or in academia. In reality, these different layers of curation, enrichment and analysis are separated by legal, institutional, infrastructural and even funding silos (as in many countries, these institutions belong to different ministries, and fall under different legislative frameworks). How can this continuum, from a scholarly point of view, be supported within common data space and FDO framework? At the same time, implementing a common data space requires not just interoperability but stewardship and strategy for sharing resources (Keller 2021). The data infrastructure and FAIR related activities explored in our collaboration are of strategic importance to help Europe and the rest of the world deal with important societal issues. Therefore, bringing this collaboration within the context of FDO provides an ideal avenue to explore potential data, policy, and implementation matters, in order to address the two gaps outlined above for Common Data Spaces. Furthermore, the ideas expressed in Common European Data Space for Cultural Heritage (with Europeana as the core stakeholder) and Green Deal Data Spaces need further clarification concerning implementation planning and most importantly, how multiple commons would work together. With DARIAH coming from the humanities and DiSSCo from the natural sciences side, such collaborations and synergy should align with the Common Data Spaces vision. The philosophy and ideas behind data and digital commons are not new (Fuchs 2020, Kashwan et al. 2021). However, it is crucial to contextualise the implementation strategy and benefits within data intensive, multidisciplinary research and FAIR principles. Given that curated objects are informational resources for the researchers, but can also provide contexts, and make visible the relationships between artefacts, people, publications, organisations, provenance, and events, it is important to think of them as much more than just records in a database. Additionally, FDOs as the digital representations of the curated objects have the potential of fostering cross-disciplinary collaborations (such as between biology, history, art or anthropology) and of providing a wider lens for understanding materiality and the role of data (Ribes 2019). As interdisciplinarity and data-driven foci are gaining traction via applications of artificial intelligence and machine learning, it is vital to understand what FDO adoption and implementation can contribute to common data spaces. We believe FDOs can be a successful foundation for Common European Data Spaces because they can can connect multiple commons -- from Green Deal to Cultural Heritage -- in order to drive forward the vision for interdisciplinary collaboration.