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  • Authors: Tóth-Czifra, Erzsébet;

    In recent years, FAIR principles have come a long way to serve the global need for generic guidelines governing data management and stewardship. Considering their wide embrace and the support received from governments, policy-makers, governing bodies and funding bodies, FAIR principles have all the potential to have a huge impact on the future landscape of knowledge creation for the better. This opportunity, however, may easily be missed if the specific dynamics of scientific production are not addressed in its disciplinary implementation plans. With the goal of making FAIR meaningful and helping to realise its promises in an arts and humanities context, this paper describes some of the defining aspects underlying the domain-specific epistemic processes that pose hidden or visible challenges in the FAIRification of knowledge creation in Arts and Humanities. By applying the FAIR data guiding principles to arts and humanities data curation workflows, we will show that contrary to their general scope and deliberately domain-independent nature, they have been implicitly designed along underlying assumptions about how knowledge creation operates and communicates. These are: 1. scholarly data or metadata is digital by nature, 2. scholarly data is always created and therefore owned by researchers, and 3. there is a wide community-level agreement on what can be considered scholarly data. The problems around such assumptions in arts and humanities are cornerstones in reconciling disciplinary traditions with the productive implementation of FAIR data management. By addressing them one by one, we aim to contribute to the better understanding of discipline-specific needs and challenges in data production, discovery and reuse. Based on these considerations, we make recommendations that may facilitate the inclusive and optimal implementation of the high-level principles that serve the flourishing of the arts and humanities disciplines rather than imposing limitations on its epistemic practices.

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  • Authors: Marchand, Manon; Amodeo, Stefania; Allen, Mark;

    Published computational notebooks are rarely reproducible, mainly because software development is not an easy and well documented task for non professional developers. In this communication we provide a comprehensive list of re-usable workflows and good practice tips that we hope can help maintainers of repositories of computational notebooks. This framework is illustrated in a re-usable demonstration repository developed within the ESCAPE and EOSC projects.

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  • Authors: Romary, Laurent; Seillier, Dorian; Tóth-Czifra, Erzsébet;

    A defining feature of data and data workflows in the arts and humanities domain is their dependence on cultural heritage sources hosted and curated in museums, libraries, galleries and archives. A major difficulty when scholars interact with heritage data is that the nature of the cooperation between researchers and Cultural Heritage Institutions and the researchers working in CHIs (henceforth CHIs) is often constrained by structural and legal challenges but even more by uncertainties as to the expectations of both parties.This recognition led several European organizations such as APEF, CLARIN, Europeana, E-RIHS to come together and join forces under the governance of DARIAH to set up principles and mechanisms for improving the conditions for the use and re-use of cultural heritage data issued by cultural heritage institutions and studied and enriched by researchers. As a first step of this joint effort is the Heritage Data Reuse Charter (https://datacharter.hypotheses.org/) establishes 6 basic principles for improving the use and re-use of cultural heritage resources by researchers and , to help all the relevant actors to work together to connect and improve access to heritage data. These are: Reciprocity, Interoperability, Citability, Openness, Stewardship and Trustworthiness.As a further step in translating these principles to actual data workflows the survey below serves as a template to frame exchanges around cultural heritage data by enabling both Cultural Heritage Institutions, infrastructure providers and researchers and to clarify their goals at the beginning and the project, to specify access to data, provenance information, preferred citation standards, hosting responsibilities etc. on the basis of which the parties can arrive at mutual reuse agreements that could serve as a starting point for a FAIR-by-construction data management, right from the project planning/application phase. In practice, the survey below can be flexibly applied in platform-independent ways in exchange protocols between Cultural Heritage Institutions and researchers, Institutions who sign the Charter could use it (and expect to use such surveys) in their own exchange protocols. Another direction of future developments is to set up a platform dedicated to such exchanges. On the other hand, researchers are encouraged to contact the CHIs during the initial stages of their project in order to explain their plans and figure details of transaction together. This mutual declaration can later be a powerful component in their Data Management Plans as it shows evidence for responsible and fair conduct of cultural heritage data, and fair (but also FAIR) research data management practices that are based on partnership with the holding institution. As enclosing a Research Data Management Plan to grant applications is becoming a more and more common requirement among research funders, we need to raise the funders’ awareness to the fact that such bi- or trilateral agreements and data reuse declarations among researchers, CHIs and infrastructure providers are crucial domain-specific components of FAIR data management.

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  • Authors: Wissik, Tanja; Edmond, Jennifer; Fischer, Frank; de Jong, Franciska; +5 Authors

    The digital humanities (DH) enrich the traditional fields of the humanities with new practices, approaches and methods. Since the turn of the millennium, the necessary skills to realise these new possibilities have been taught in summer schools, workshops and other alternative formats. In the meantime, a growing number of Bachelor's and Master's programmes in digital humanities have been launched worldwide. The DH Course Registry, which is the focus of this article, was created to provide an overview of the growing range of courses on offer worldwide. Its mission is to gather the rich offerings of different courses and to provide an up-to-date picture of the teaching and training opportunities in the field of DH. The article provides a general introduction to this emerging area of research and introduces the two European infrastructures CLARIN and DARIAH, which jointly operate the DH Course Registry. A short history of the Registry is accompanied by a description of the data model and the data curation workflow. Current data, available through the API of the Registry, is evaluated to quantitatively map the international landscape of DH teaching.Preprint of a publication for LibraryTribune (China) (accepted)

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  • Authors: Edmond, Jennifer; Basaraba, Nicole; Doran, Michelle; Garnett, Vicky; +3 Authors
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  • Authors: Tóth-Czifra, Erzsébet; Truan, Naomi;

    In this resource, you can follow a step-by-step description of a research data workflow involving the annotation of multilingual parliamentary corpora (French, German, British) according to the guidelines of the Text Encoding Initiative (TEI). Read further if you are interested in working with the TEI, analyzing parliamentary corpora, or simply would like to see a validated example of how FAIR and open data is implemented in the context of a PhD dissertation in Corpus Linguistics.

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  • Authors: Tóth-Czifra, Erzsébet; Romary, Laurent;

    There is a growing need to establish domain-or discipline-specific approaches to research data sharing workflows. A defining feature of data and data workflows in the arts and humanities domain is their dependence on cultural heritage sources hosted and curated in museums, libraries, galleries and archives. A major difficulty when scholars interact with heritage data is that the nature of the cooperation between researchers and Cultural Heritage Institutions (henceforth CHIs) is often constrained by structural and legal challenges but even more by uncertainties as to the expectations of both parties. The Heritage Data Reuse Charter aims to address these by designing a common environment that will enable all the relevant actors to work together to connect and improve access to heritage data and make transactions related to the scholarly use of cultural heritage data more visible and transparent. As a first step, a wide range of stakeholders on the Cultural Heritage and research sector agreed upon a set of generic principles, summarized in the Mission Statement of the Charter, that can serve as a baseline governing the interactions between CHIs, researchers and data centres. This was followed by a long and thorough validation process related to these principles through surveys 1 and workshops 2. As a second step, we now put forward a questionnaire template tool that helps researchers and CHIs to translate the 6 core principles into specific research project settings. It contains questions about access to data, provenance information, preferred citation standards, hosting responsibilities etc. on the basis of which the parties can arrive at mutual reuse agreements that could serve as a starting point for a FAIR-by-construction data management, right from the project planning/application phase. The questionnaire template and the resulting mutual agreements can be flexibly applied to projects of different scale and in platform-independent ways. Institutions can embed them into their own exchange protocols while researchers can add them to their Data Management Plans. As such, they can show evidence for responsible and fair conduct of cultural heritage data, and fair (but also FAIR) research data management practices that are based on partnership with the holding institution.

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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: David, Romain; Baumann, Kurt; Le Franc, Yann; Magagna, Barbara; +12 Authors

    Semantic interoperability (SI) is at the heart of the FAIR principles and the design of large-scale cross-disciplinary infrastructures. The European Open Science Cloud (EOSC) is a European-wide effort towards such an infrastructure, aiming to deepen regional research collaboration and realising a shared data space for science, research and innovation. In this context, the research community’s voice is represented by the EOSC Association (EOSC-A) and a number of advisory groups with a broad range of representatives from different stakeholder organisations. The advisory group on metadata and data quality has formed a task force focusing on developing and implementing recommendations for SI (EOSC SI Task Force) to converge on globally relevant and scalable SI solutions for EOSC. This paper provides context to SI in EOSC, the various components contributing to it, as well as some views on the socio-technical challenges to arriving at a consensus. In particular, the paper provides motivation for exploring the heterogeneity of SI solutions demonstrated across scientific communities and insight into the task force’s planned approach to conducting a survey to identify relevant components and structures. The paper is also an invitation to the global community to align and engage with the task force’s activities going forward. This research is a product of the Task Force "Semantic Interoperability" of the EOSC-Association European, the legal entity established to govern the European Open Science Cloud (EOSC). Complementary support and information were provided through European projects "EOSC-Life" (No824087) and "FAIR Impact" (No101057344). This paper is linked to the Supplementary Material - Magagna, Barbara, Baumann, Kurt, David, Romain, Jouneau, Thomas, Le Franc, Yann, Koivula, Hanna, Madon, Bénédicte, Nyberg Åkerström, Wolmar, Ojsteršek, Milan, Scharnhorst, Andrea, Schubert, Chris, Shi, Zhengdong, Tanca, Letizia, Vancauwenbergh, Sadia, Vogt, Lars, & Widmann, Heinrich. (2023). Proposal for the EOSC Semantic Interoperability Questionnaire (1.0.2). 2nd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), Sherbrooke, Québec (Canada). Zenodo. https://doi.org/10.5281/zenodo.8028392 This Supplementary Material will be updated during the process of the survey-completion {"references": ["Magagna, Barbara, Baumann, Kurt, David, Romain, Jouneau, Thomas, Le Franc, Yann, Koivula, Hanna, Madon, B\u00e9n\u00e9dicte, Nyberg \u00c5kerstr\u00f6m, Wolmar, Ojster\u0161ek, Milan, Scharnhorst, Andrea, Schubert, Chris, Shi, Zhengdong, Tanca, Letizia, Vancauwenbergh, Sadia, Vogt, Lars, & Widmann, Heinrich. (2023). Proposal for the EOSC Semantic Interoperability Questionnaire (1.0.2). 2nd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), Sherbrooke, Qu\u00e9bec (Canada). Zenodo. https://doi.org/10.5281/zenodo.8028392"]}

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8 Research products
  • Authors: Tóth-Czifra, Erzsébet;

    In recent years, FAIR principles have come a long way to serve the global need for generic guidelines governing data management and stewardship. Considering their wide embrace and the support received from governments, policy-makers, governing bodies and funding bodies, FAIR principles have all the potential to have a huge impact on the future landscape of knowledge creation for the better. This opportunity, however, may easily be missed if the specific dynamics of scientific production are not addressed in its disciplinary implementation plans. With the goal of making FAIR meaningful and helping to realise its promises in an arts and humanities context, this paper describes some of the defining aspects underlying the domain-specific epistemic processes that pose hidden or visible challenges in the FAIRification of knowledge creation in Arts and Humanities. By applying the FAIR data guiding principles to arts and humanities data curation workflows, we will show that contrary to their general scope and deliberately domain-independent nature, they have been implicitly designed along underlying assumptions about how knowledge creation operates and communicates. These are: 1. scholarly data or metadata is digital by nature, 2. scholarly data is always created and therefore owned by researchers, and 3. there is a wide community-level agreement on what can be considered scholarly data. The problems around such assumptions in arts and humanities are cornerstones in reconciling disciplinary traditions with the productive implementation of FAIR data management. By addressing them one by one, we aim to contribute to the better understanding of discipline-specific needs and challenges in data production, discovery and reuse. Based on these considerations, we make recommendations that may facilitate the inclusive and optimal implementation of the high-level principles that serve the flourishing of the arts and humanities disciplines rather than imposing limitations on its epistemic practices.

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  • Authors: Marchand, Manon; Amodeo, Stefania; Allen, Mark;

    Published computational notebooks are rarely reproducible, mainly because software development is not an easy and well documented task for non professional developers. In this communication we provide a comprehensive list of re-usable workflows and good practice tips that we hope can help maintainers of repositories of computational notebooks. This framework is illustrated in a re-usable demonstration repository developed within the ESCAPE and EOSC projects.

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  • Authors: Romary, Laurent; Seillier, Dorian; Tóth-Czifra, Erzsébet;

    A defining feature of data and data workflows in the arts and humanities domain is their dependence on cultural heritage sources hosted and curated in museums, libraries, galleries and archives. A major difficulty when scholars interact with heritage data is that the nature of the cooperation between researchers and Cultural Heritage Institutions and the researchers working in CHIs (henceforth CHIs) is often constrained by structural and legal challenges but even more by uncertainties as to the expectations of both parties.This recognition led several European organizations such as APEF, CLARIN, Europeana, E-RIHS to come together and join forces under the governance of DARIAH to set up principles and mechanisms for improving the conditions for the use and re-use of cultural heritage data issued by cultural heritage institutions and studied and enriched by researchers. As a first step of this joint effort is the Heritage Data Reuse Charter (https://datacharter.hypotheses.org/) establishes 6 basic principles for improving the use and re-use of cultural heritage resources by researchers and , to help all the relevant actors to work together to connect and improve access to heritage data. These are: Reciprocity, Interoperability, Citability, Openness, Stewardship and Trustworthiness.As a further step in translating these principles to actual data workflows the survey below serves as a template to frame exchanges around cultural heritage data by enabling both Cultural Heritage Institutions, infrastructure providers and researchers and to clarify their goals at the beginning and the project, to specify access to data, provenance information, preferred citation standards, hosting responsibilities etc. on the basis of which the parties can arrive at mutual reuse agreements that could serve as a starting point for a FAIR-by-construction data management, right from the project planning/application phase. In practice, the survey below can be flexibly applied in platform-independent ways in exchange protocols between Cultural Heritage Institutions and researchers, Institutions who sign the Charter could use it (and expect to use such surveys) in their own exchange protocols. Another direction of future developments is to set up a platform dedicated to such exchanges. On the other hand, researchers are encouraged to contact the CHIs during the initial stages of their project in order to explain their plans and figure details of transaction together. This mutual declaration can later be a powerful component in their Data Management Plans as it shows evidence for responsible and fair conduct of cultural heritage data, and fair (but also FAIR) research data management practices that are based on partnership with the holding institution. As enclosing a Research Data Management Plan to grant applications is becoming a more and more common requirement among research funders, we need to raise the funders’ awareness to the fact that such bi- or trilateral agreements and data reuse declarations among researchers, CHIs and infrastructure providers are crucial domain-specific components of FAIR data management.

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  • Authors: Wissik, Tanja; Edmond, Jennifer; Fischer, Frank; de Jong, Franciska; +5 Authors

    The digital humanities (DH) enrich the traditional fields of the humanities with new practices, approaches and methods. Since the turn of the millennium, the necessary skills to realise these new possibilities have been taught in summer schools, workshops and other alternative formats. In the meantime, a growing number of Bachelor's and Master's programmes in digital humanities have been launched worldwide. The DH Course Registry, which is the focus of this article, was created to provide an overview of the growing range of courses on offer worldwide. Its mission is to gather the rich offerings of different courses and to provide an up-to-date picture of the teaching and training opportunities in the field of DH. The article provides a general introduction to this emerging area of research and introduces the two European infrastructures CLARIN and DARIAH, which jointly operate the DH Course Registry. A short history of the Registry is accompanied by a description of the data model and the data curation workflow. Current data, available through the API of the Registry, is evaluated to quantitatively map the international landscape of DH teaching.Preprint of a publication for LibraryTribune (China) (accepted)

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  • Authors: Edmond, Jennifer; Basaraba, Nicole; Doran, Michelle; Garnett, Vicky; +3 Authors
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  • Authors: Tóth-Czifra, Erzsébet; Truan, Naomi;

    In this resource, you can follow a step-by-step description of a research data workflow involving the annotation of multilingual parliamentary corpora (French, German, British) according to the guidelines of the Text Encoding Initiative (TEI). Read further if you are interested in working with the TEI, analyzing parliamentary corpora, or simply would like to see a validated example of how FAIR and open data is implemented in the context of a PhD dissertation in Corpus Linguistics.

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  • Authors: Tóth-Czifra, Erzsébet; Romary, Laurent;

    There is a growing need to establish domain-or discipline-specific approaches to research data sharing workflows. A defining feature of data and data workflows in the arts and humanities domain is their dependence on cultural heritage sources hosted and curated in museums, libraries, galleries and archives. A major difficulty when scholars interact with heritage data is that the nature of the cooperation between researchers and Cultural Heritage Institutions (henceforth CHIs) is often constrained by structural and legal challenges but even more by uncertainties as to the expectations of both parties. The Heritage Data Reuse Charter aims to address these by designing a common environment that will enable all the relevant actors to work together to connect and improve access to heritage data and make transactions related to the scholarly use of cultural heritage data more visible and transparent. As a first step, a wide range of stakeholders on the Cultural Heritage and research sector agreed upon a set of generic principles, summarized in the Mission Statement of the Charter, that can serve as a baseline governing the interactions between CHIs, researchers and data centres. This was followed by a long and thorough validation process related to these principles through surveys 1 and workshops 2. As a second step, we now put forward a questionnaire template tool that helps researchers and CHIs to translate the 6 core principles into specific research project settings. It contains questions about access to data, provenance information, preferred citation standards, hosting responsibilities etc. on the basis of which the parties can arrive at mutual reuse agreements that could serve as a starting point for a FAIR-by-construction data management, right from the project planning/application phase. The questionnaire template and the resulting mutual agreements can be flexibly applied to projects of different scale and in platform-independent ways. Institutions can embed them into their own exchange protocols while researchers can add them to their Data Management Plans. As such, they can show evidence for responsible and fair conduct of cultural heritage data, and fair (but also FAIR) research data management practices that are based on partnership with the holding institution.

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    Authors: David, Romain; Baumann, Kurt; Le Franc, Yann; Magagna, Barbara; +12 Authors

    Semantic interoperability (SI) is at the heart of the FAIR principles and the design of large-scale cross-disciplinary infrastructures. The European Open Science Cloud (EOSC) is a European-wide effort towards such an infrastructure, aiming to deepen regional research collaboration and realising a shared data space for science, research and innovation. In this context, the research community’s voice is represented by the EOSC Association (EOSC-A) and a number of advisory groups with a broad range of representatives from different stakeholder organisations. The advisory group on metadata and data quality has formed a task force focusing on developing and implementing recommendations for SI (EOSC SI Task Force) to converge on globally relevant and scalable SI solutions for EOSC. This paper provides context to SI in EOSC, the various components contributing to it, as well as some views on the socio-technical challenges to arriving at a consensus. In particular, the paper provides motivation for exploring the heterogeneity of SI solutions demonstrated across scientific communities and insight into the task force’s planned approach to conducting a survey to identify relevant components and structures. The paper is also an invitation to the global community to align and engage with the task force’s activities going forward. This research is a product of the Task Force "Semantic Interoperability" of the EOSC-Association European, the legal entity established to govern the European Open Science Cloud (EOSC). Complementary support and information were provided through European projects "EOSC-Life" (No824087) and "FAIR Impact" (No101057344). This paper is linked to the Supplementary Material - Magagna, Barbara, Baumann, Kurt, David, Romain, Jouneau, Thomas, Le Franc, Yann, Koivula, Hanna, Madon, Bénédicte, Nyberg Åkerström, Wolmar, Ojsteršek, Milan, Scharnhorst, Andrea, Schubert, Chris, Shi, Zhengdong, Tanca, Letizia, Vancauwenbergh, Sadia, Vogt, Lars, & Widmann, Heinrich. (2023). Proposal for the EOSC Semantic Interoperability Questionnaire (1.0.2). 2nd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), Sherbrooke, Québec (Canada). Zenodo. https://doi.org/10.5281/zenodo.8028392 This Supplementary Material will be updated during the process of the survey-completion {"references": ["Magagna, Barbara, Baumann, Kurt, David, Romain, Jouneau, Thomas, Le Franc, Yann, Koivula, Hanna, Madon, B\u00e9n\u00e9dicte, Nyberg \u00c5kerstr\u00f6m, Wolmar, Ojster\u0161ek, Milan, Scharnhorst, Andrea, Schubert, Chris, Shi, Zhengdong, Tanca, Letizia, Vancauwenbergh, Sadia, Vogt, Lars, & Widmann, Heinrich. (2023). Proposal for the EOSC Semantic Interoperability Questionnaire (1.0.2). 2nd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), Sherbrooke, Qu\u00e9bec (Canada). Zenodo. https://doi.org/10.5281/zenodo.8028392"]}

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