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67 Research products

  • DARIAH EU
  • 2014-2023
  • Publications
  • European Commission
  • EU
  • FR
  • Mémoires en Sciences de l'Information et de la Communication
  • Hyper Article en Ligne - Sciences de l'Homme et de la Société
  • Hyper Article en Ligne

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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: Larrousse, Nicolas; Gray, Edward J.; Concordia, Cesare;

    If citation is a common practice for publications, it is relatively new for data especially in SSH. This paper will present the work carried out during the SSHOC project about data citation in general and more precisely how to make them actionable. The metaphor of a travel journal of an expedition seemed appropriate to us to present this work carried out during the SSHOC project. The first part was to study this terra incognita by making an inventory of citation practices (https://doi.org/10.5281/zenodo.3595965). To summarize, we discovered that in the research communities we investigated, practices were seldom standardized and were very diverse, generally producing citations that could not be processed by machines: in other words they were not “actionable”. This led us to develop a sort of guide necessary to journey through this new, uncharted territory in the form of a set of recommendations ( https://doi.org/10.5281/zenodo.5361717) to build citations in SSH. So as not to reinvent the wheel, we based these recommendations on existing principles created by Force11 ( https://doi.org/10.25490/a97f-egyk) by adapting them to the specific characteristics of the SSH data. These recommendations were validated by a committee of experts from different backgrounds and structures (RDA participants, CODATA director, OpenAire Engineers etc.) during a round table (https://www.sshopencloud.eu/news/roundtable-experts-data-citation) and in a parallel review process. Then we decided to analyze the resources available in this new territory, that is, the repositories that are so crucial to be able to cite data. We carried out an analysis of 85 repositories against 7 quality criteria based on the recommendations which ensure continuity with the work mentioned above: PID from “Unique Identification & Persistence” Landing page from “Access” Structured metadata from “Importance & Credit and Attribution” Cite as from “Evidence, Specificity & Verifiability” Versioning from “Specificity and Verifiability” Standardized vocabularies from “Interoperability and Flexibility” Links to publications from “Importance” The results of this survey (https://doi.org/10.5281/zenodo.5603306) are encouraging - even if there is room for improvement, particularly in the use of Persistent Identifiers. Importantly, the presence of a landing page in almost all cases allowed us to build up a test sample made up of a very diverse dataset from those repositories for which we want to build standardized and actionable citations. In parallel we developed a tool in order to “harvest” the resources found in this new land so as to better understand them and also be able to explain them to others. We developed a prototype composed of three components: a harvester which grabs information about a dataset and normalizes it an API to disseminate the metadata of the citation thereby making it actionable a citation viewer for human purposes For the first iteration to populate this prototype, we used the dataset collected during our survey of repositories and we are going to gradually add more datasets from various sources. This prototype is primarily designed to implement what we called “actionability” to a citation and provide a ready-to-use citation in various citation formats. Starting from the PID of a dataset, the prototype attempts to aggregate metadata from different sources: the repository of the dataset, the PID Registration Agency and a number of Knowledge Graphs. For instance, while metadata associated with a DOI (Digital Object Identifier) are limited and those provided by a handle are even more scarce, it is possible to get more information from a landing page and thus enrich the citation. We also used another indirect approach to gather additional information by using a registry of repositories (RE3Data https://www.re3data.org/) which provides, among other things, information on the available APIs available for a specific repository. Thus the prototype can give a unified view of information about datasets coming from different sources. For researchers, it thus avoids cumbersome work on how to cite a dataset or get information about its provenance. In return, it makes a researcher aware of the importance of properly documenting a dataset and depositing it in a “good” repository. This paper will present in greater detail what we learned at each step of this expedition and how a research project can take advantage of a good citation system to enhance the visibility of the output. We will also introduce the potential uses based on the information provided by the prototype such as the possibility of associating a specific tool to process data or the use of this information as a base to build data papers.

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    ZENODO; CNR ExploRA
    Other literature type . Conference object . 2022
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    ZENODO
    Presentation . 2022
    License: CC BY
    Data sources: Datacite
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      Other literature type . Conference object . 2022
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    Authors: Boveia, Antonio; Doglioni, Caterina; Gao, Boyu; Greaves, Josh; +18 Authors

    Comparisons of the coverage of current and proposed dark matter searches can help us to understand the context in which a discovery of particle dark matter would be made. In some scenarios, a discovery could be reinforced by information from multiple, complementary types of experiments; in others, only one experiment would see a signal, giving only a partial, more ambiguous picture; in still others, no experiment would be sensitive and new approaches would be needed. In this whitepaper, we present an update to a similar study performed for the European Strategy Briefing Book performed within the dark matter at the Energy Frontier (EF10) Snowmass Topical Group We take as a starting point a set of projections for future collider facilities and a method of graphical comparisons routinely performed for LHC DM searches using simplified models recommended by the LHC Dark Matter Working Group and also used for the BSM and dark matter chapters of the European Strategy Briefing Book. These comparisons can also serve as launching point for cross-frontier discussions about dark matter complementarity. Comment: Submitted to the Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021)

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    CERN Document Server
    Other literature type . 2022
    https://doi.org/10.48550/arxiv...
    Article . 2022
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      CERN Document Server
      Other literature type . 2022
      https://doi.org/10.48550/arxiv...
      Article . 2022
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    Authors: Frank Uiterwaal; Franco Niccolucci; Sheena Bassett; Steven Krauwer; +7 Authors

    This article has been accepted for publication by EUP in the IJHAC: International Journal of Humanities and Arts Computing (https://www.euppublishing.com/loi/ijhac); International audience; Since the first ESFRI roadmap in 2006, multiple humanities Research Infrastructures (RIs) have been set up all over the European continent, supporting archaeologists (ARIADNE), linguists (CLARIN-ERIC), Holocaust researchers (EHRI), cultural heritage specialists (IPERION-CH) and others. These examples only scratch the surface of the breadth of research communities that have benefited from close cooperation in the European Research Area.While each field developed discipline-specific services over the years, common themes can also be distinguished. All humanities RIs address, in varying degrees, questions around research data management, the use of standards and the desired interoperability of data across disciplinary boundaries.This article sheds light on how cluster project PARTHENOS developed pooled services and shared solutions for its audience of humanities researchers, RI managers and policymakers. In a time where the convergence of existing infrastructure is becoming ever more important – with the construction of a European Open Science Cloud as an audacious, ultimate goal – we hope that our experiences inform future work and provide inspiration on how to exploit synergies in interdisciplinary, transnational, scientific cooperation.

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    International Journal of Humanities and Arts Computing
    Article . 2021 . Peer-reviewed
    License: EUP TDM
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    ISTI Open Portal
    Article . 2021
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    NARCIS
    Article . 2021
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    CNR ExploRA
    Article . 2021
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    Hal-Diderot
    Article . 2021
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      International Journal of Humanities and Arts Computing
      Article . 2021 . Peer-reviewed
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    Authors: Scharnhorst, Andrea; Admiraal, Femmy; van Kranenburg, Peter; Guillotel-Nothmann, Christophe; +1 Authors

    This paper takes as an example the envisioned portal of the newly started Polifonia project that interlinks resources from very rich, old, established archives while making optimal use of the latest semantic web technologies. In the project, ten research pilots, spanning from historical bells and organ heritage, classification of polyphonic notated music, to the historical role of music in children's lives, form the driving force behind the development of the dedicated interface. Based on a mixture of participation and participatory observation, we describe and reflect on the processes involved in making the portal. In other words - exemplified with the case of Polifonia - we reflect on the role of interfaces (of various types, shapes, manifestations and/or durations) to organise knowledge in an interdisciplinary project. In particular, we focus on the role of data management within the project as a key component of research methodology and cross-disciplinary collaboration, rather than an administrative exercise. The knowledge generated by this part of the project serves at least three different purposes: (1) to envision new research questions (competence questions) guiding the engineering backbone processes; (2) to define the future elements of the portal both for experts, other researchers, wider public and specific parts of the wider public; and last but not least, (3) the documentation task needed to support reproducibility and FAIRness of all data processes. Figure 1 below illustrates how the three components, namely the sociotechnical roadmap of the portal, the ontology-based knowledge graphs created in the research pilots, and the data management plan form three complementary components of the Polifonia project, that ultimately all feed into the web portal. In this paper, we claim that behind any interface there is the need for a layer of interfaces that form the basis of the final interface visible to the public. These procedural, intermediary, interfaces take the form of meetings, shared notes, github presence - and will result in products of their own (Data Management Plan, knowledge graphs), as well as inform the decisions during the process of designing the portal.

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    Presentation . 2021
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    ZENODO
    Other literature type . 2021
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    KNAW Pure
    Part of book or chapter of book . 2021
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      Presentation . 2021
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      ZENODO
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  • Authors: Tasovac, Toma; Romary, Laurent; Tóth-Czifra, Erzsébet; Marinski, Irena;
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    Authors: Buddenbohm, Stefan; de Jong, Maaike; Minel, Jean-Luc; Moranville, Yoann; +4 Authors

    Abstract How can researchers identify suitable research data repositories for the deposit of their research data? Which repository matches best the technical and legal requirements of a specific research project? For this end and with a humanities perspective the Data Deposit Recommendation Service (DDRS) has been developed as a prototype. It not only serves as a functional service for selecting humanities research data repositories but it is particularly a technical demonstrator illustrating the potential of re-using an already existing infrastructure - in this case re3data - and the feasibility to set up this kind of service for other research disciplines. The documentation and the code of this project can be found in the DARIAH GitHub repository: https://dariah-eric.github.io/ddrs/. H2020 Research Infrastructures http://dx.doi.org/10.13039/100010666 Georg-August-Universität Göttingen (1018)

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    International Journal of Digital Humanities
    Article . 2021 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    Authors: Maryl, Maciej; Błaszczyńska, Marta; Zalotyńska, Agnieszka; Taylor, Laurence; +27 Authors

    This report discusses the scholarly communication issues in Social Sciences and Humanities that are relevant to the future development and functioning of OPERAS. The outcomes collected here can be divided into two groups of innovations regarding 1) the operation of OPERAS, and 2) its activities. The “operational” issues include the ways in which an innovative research infrastructure should be governed (Chapter 1) as well as the business models for open access publications in Social Sciences and Humanities (Chapter 2). The other group of issues is dedicated to strategic areas where OPERAS and its services may play an instrumental role in providing, enabling, or unlocking innovation: FAIR data (Chapter 3), bibliodiversity and multilingualism in scholarly communication (Chapter 4), the future of scholarly writing (Chapter 5), and quality assessment (Chapter 6). Each chapter provides an overview of the main findings and challenges with emphasis on recommendations for OPERAS and other stakeholders like e-infrastructures, publishers, SSH researchers, research performing organisations, policy makers, and funders. Links to data and further publications stemming from work concerning particular tasks are located at the end of each chapter.

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    ZENODO
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    Authors: Nury, Elisa; Clivaz, Claire; Błaszczyńska, Marta; Kaiser, Michael; +4 Authors

    International audience; Published in OA on RESSI (http://www.ressi.ch/) at the end of Octobre 2021. We present here highlights from an enquiry on the innovations in scholarly writing in the Humanities and Social Sciences in the H2020 project OPERAS-P. This article explores the theme of Open Research Data and its role in the emergence of new models of scholarly writing. We examine more closely the obstacles and fostering conditions to the publication of research data, both from a social and a technical perspective.

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    Hal-Diderot
    Article . 2021
    License: CC BY NC ND
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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: 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: Larrousse, Nicolas; Gray, Edward J.; Concordia, Cesare;

    If citation is a common practice for publications, it is relatively new for data especially in SSH. This paper will present the work carried out during the SSHOC project about data citation in general and more precisely how to make them actionable. The metaphor of a travel journal of an expedition seemed appropriate to us to present this work carried out during the SSHOC project. The first part was to study this terra incognita by making an inventory of citation practices (https://doi.org/10.5281/zenodo.3595965). To summarize, we discovered that in the research communities we investigated, practices were seldom standardized and were very diverse, generally producing citations that could not be processed by machines: in other words they were not “actionable”. This led us to develop a sort of guide necessary to journey through this new, uncharted territory in the form of a set of recommendations ( https://doi.org/10.5281/zenodo.5361717) to build citations in SSH. So as not to reinvent the wheel, we based these recommendations on existing principles created by Force11 ( https://doi.org/10.25490/a97f-egyk) by adapting them to the specific characteristics of the SSH data. These recommendations were validated by a committee of experts from different backgrounds and structures (RDA participants, CODATA director, OpenAire Engineers etc.) during a round table (https://www.sshopencloud.eu/news/roundtable-experts-data-citation) and in a parallel review process. Then we decided to analyze the resources available in this new territory, that is, the repositories that are so crucial to be able to cite data. We carried out an analysis of 85 repositories against 7 quality criteria based on the recommendations which ensure continuity with the work mentioned above: PID from “Unique Identification & Persistence” Landing page from “Access” Structured metadata from “Importance & Credit and Attribution” Cite as from “Evidence, Specificity & Verifiability” Versioning from “Specificity and Verifiability” Standardized vocabularies from “Interoperability and Flexibility” Links to publications from “Importance” The results of this survey (https://doi.org/10.5281/zenodo.5603306) are encouraging - even if there is room for improvement, particularly in the use of Persistent Identifiers. Importantly, the presence of a landing page in almost all cases allowed us to build up a test sample made up of a very diverse dataset from those repositories for which we want to build standardized and actionable citations. In parallel we developed a tool in order to “harvest” the resources found in this new land so as to better understand them and also be able to explain them to others. We developed a prototype composed of three components: a harvester which grabs information about a dataset and normalizes it an API to disseminate the metadata of the citation thereby making it actionable a citation viewer for human purposes For the first iteration to populate this prototype, we used the dataset collected during our survey of repositories and we are going to gradually add more datasets from various sources. This prototype is primarily designed to implement what we called “actionability” to a citation and provide a ready-to-use citation in various citation formats. Starting from the PID of a dataset, the prototype attempts to aggregate metadata from different sources: the repository of the dataset, the PID Registration Agency and a number of Knowledge Graphs. For instance, while metadata associated with a DOI (Digital Object Identifier) are limited and those provided by a handle are even more scarce, it is possible to get more information from a landing page and thus enrich the citation. We also used another indirect approach to gather additional information by using a registry of repositories (RE3Data https://www.re3data.org/) which provides, among other things, information on the available APIs available for a specific repository. Thus the prototype can give a unified view of information about datasets coming from different sources. For researchers, it thus avoids cumbersome work on how to cite a dataset or get information about its provenance. In return, it makes a researcher aware of the importance of properly documenting a dataset and depositing it in a “good” repository. This paper will present in greater detail what we learned at each step of this expedition and how a research project can take advantage of a good citation system to enhance the visibility of the output. We will also introduce the potential uses based on the information provided by the prototype such as the possibility of associating a specific tool to process data or the use of this information as a base to build data papers.

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    ZENODO; CNR ExploRA
    Other literature type . Conference object . 2022
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    ZENODO
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    Authors: Boveia, Antonio; Doglioni, Caterina; Gao, Boyu; Greaves, Josh; +18 Authors

    Comparisons of the coverage of current and proposed dark matter searches can help us to understand the context in which a discovery of particle dark matter would be made. In some scenarios, a discovery could be reinforced by information from multiple, complementary types of experiments; in others, only one experiment would see a signal, giving only a partial, more ambiguous picture; in still others, no experiment would be sensitive and new approaches would be needed. In this whitepaper, we present an update to a similar study performed for the European Strategy Briefing Book performed within the dark matter at the Energy Frontier (EF10) Snowmass Topical Group We take as a starting point a set of projections for future collider facilities and a method of graphical comparisons routinely performed for LHC DM searches using simplified models recommended by the LHC Dark Matter Working Group and also used for the BSM and dark matter chapters of the European Strategy Briefing Book. These comparisons can also serve as launching point for cross-frontier discussions about dark matter complementarity. Comment: Submitted to the Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021)

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    CERN Document Server
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    https://doi.org/10.48550/arxiv...
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