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14 Research products, page 1 of 2

  • Publications
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  • 2018-2022
  • Open Access
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  • Open Access
    Authors: 
    Reinhard Altenhöner; Ina Blümel; Franziska Boehm; Jens Bove; Katrin Bicher; Christian Bracht; Ortrun Brand; Lisa Dieckmann; Maria Effinger; Malte Hagener; +15 more
    Publisher: Pensoft Publishers
    Country: Germany

    Digital data on tangible and intangible cultural assets is an essential part of daily life, communication and experience. It has a lasting influence on the perception of cultural identity as well as on the interactions between research, the cultural economy and society. Throughout the last three decades, many cultural heritage institutions have contributed a wealth of digital representations of cultural assets (2D digital reproductions of paintings, sheet music, 3D digital models of sculptures, monuments, rooms, buildings), audio-visual data (music, film, stage performances), and procedural research data such as encoding and annotation formats. The long-term preservation and FAIR availability of research data from the cultural heritage domain is fundamentally important, not only for future academic success in the humanities but also for the cultural identity of individuals and society as a whole. Up to now, no coordinated effort for professional research data management on a national level exists in Germany. NFDI4Culture aims to fill this gap and create a user-centered, research-driven infrastructure that will cover a broad range of research domains from musicology, art history and architecture to performance, theatre, film, and media studies. The research landscape addressed by the consortium is characterized by strong institutional differentiation. Research units in the consortium's community of interest comprise university institutes, art colleges, academies, galleries, libraries, archives and museums. This diverse landscape is also characterized by an abundance of research objects, methodologies and a great potential for data-driven research. In a unique effort carried out by the applicant and co-applicants of this proposal and ten academic societies, this community is interconnected for the first time through a federated approach that is ideally suited to the needs of the participating researchers. To promote collaboration within the NFDI, to share knowledge and technology and to provide extensive support for its users have been the guiding principles of the consortium from the beginning and will be at the heart of all workflows and decision-making processes. Thanks to these principles, NFDI4Culture has gathered strong support ranging from individual researchers to high-level cultural heritage organizations such as the UNESCO, the International Council of Museums, the Open Knowledge Foundation and Wikimedia. On this basis, NFDI4Culture will take innovative measures that promote a cultural change towards a more reflective and sustainable handling of research data and at the same time boost qualification and professionalization in data-driven research in the domain of cultural heritage. This will create a long-lasting impact on science, cultural economy and society as a whole.

  • Open Access English
    Authors: 
    Zamani, Maryam; Tejedor, Alejandro; Vogl, Malte; Krautli, Florian; Valleriani, Matteo; Kantz, Holger;

    We investigated the evolution and transformation of scientific knowledge in the early modern period, analyzing more than 350 different editions of textbooks used for teaching astronomy in European universities from the late fifteenth century to mid-seventeenth century. These historical sources constitute the Sphaera Corpus. By examining different semantic relations among individual parts of each edition on record, we built a multiplex network consisting of six layers, as well as the aggregated network built from the superposition of all the layers. The network analysis reveals the emergence of five different communities. The contribution of each layer in shaping the communities and the properties of each community are studied. The most influential books in the corpus are found by calculating the average age of all the out-going and in-coming links for each book. A small group of editions is identified as a transmitter of knowledge as they bridge past knowledge to the future through a long temporal interval. Our analysis, moreover, identifies the most disruptive books. These books introduce new knowledge that is then adopted by almost all the books published afterwards until the end of the whole period of study. The historical research on the content of the identified books, as an empirical test, finally corroborates the results of all our analyses. 19 pages, 9 figures

  • Open Access English
    Authors: 
    Davide Salomoni; Isabel Campos; Luciano Gaido; J. Marco de Lucas; P. Solagna; Jorge Gomes; Luděk Matyska; P. Fuhrman; Marcus Hardt; Giacinto Donvito; +43 more
    Countries: Italy, Netherlands, Netherlands, Spain, Croatia, Italy, Germany, Croatia, Italy, Croatia ...
    Project: EC | INDIGO-DataCloud (653549), EC | EOSC-hub (777536), EC | INDIGO-DataCloud (653549), EC | EOSC-hub (777536)

    This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to manage the demanding requirements of scientific communities, either locally or through enhanced interfaces. The middleware developed allows to federate hybrid resources, to easily write, port and run scientific applications to the cloud. In particular, we have extended existing PaaS (Platform as a Service) solutions, allowing public and private e-infrastructures, including those provided by EGI, EUDAT, and Helix Nebula, to integrate their existing services and make them available through AAI services compliant with GEANT interfederation policies, thus guaranteeing transparency and trust in the provisioning of such services. Our middleware facilitates the execution of applications using containers on Cloud and Grid based infrastructures, as well as on HPC clusters. Our developments are freely downloadable as open source components, and are already being integrated into many scientific applications. INDIGO-Datacloud has been funded by the European Commision H2020 research and innovation program under grant agreement RIA 653549. Peer reviewed

  • Open Access English
    Authors: 
    Helene Brinken; Iryna Kuchma; Vasso Kalaitzi; Joy Davidson; Nancy Pontika; Matteo Cancellieri; Antónia Correia; José Carvalho; Remedios Melero; Damjana Kastelic; +7 more
    Publisher: openjournals.nl
    Countries: Spain, Portugal, Germany, Portugal, Germany
    Project: EC | FOSTER Plus (741839), EC | FOSTER Plus (741839)

    To foster responsible research and innovation, research communities, institutions, and funders are shifting their practices and requirements towards Open Science. Open Science skills are becoming increasingly essential for researchers. Indeed general awareness of Open Science has grown among EU researchers, but the practical adoption can be further improved. Recognizing a gap between the needed and the provided training offer, the FOSTER project offers practical guidance and training to help researchers learn how to open up their research within a particular domain or research environment. Aiming for a sustainable approach, FOSTER focused on strengthening the Open Science training capacity by establishing and supporting a community of trainers. The creation of an Open Science training handbook was a first step towards bringing together trainers to share their experiences and to create an open and living knowledge resource. A subsequent series of train-the-trainer bootcamps helped trainers to find inspiration, improve their skills and to intensify exchange within a peer group. Four trainers, who attended one of the bootcamps, contributed a case study on their experiences and how they rolled out Open Science training within their own institutions. On its platform the project provides a range of online courses and resources to learn about key Open Science topics. FOSTER awards users gamification badges when completing courses in order to provide incentives and rewards, and to spur them on to even greater achievements in learning. The paper at hand describes FOSTER Plus’ training strategies, shares the lessons learnt and provides guidance on how to re-use the project’s materials and training approaches. Peer reviewed

  • Open Access English
    Authors: 
    Weisweiler, Nina Leonie; Bertelmann, Roland; Cousijn, Helena; Elger, Kirsten; Ferguson, Lea Maria; Goebelbecker, Hans-Jürgen; Kindling, Maxi; Kloska, Gabriele; Nguyen Thanh, Binh; Pampel, Heinz; +11 more
    Publisher: re3data
    Country: Germany

    In order to channel and align the efforts within the COREF project, the Registry of Research Data Repositories – re3data is revising its conceptual service model according to the most important use cases of the various stakeholders working with re3data. Adopting and reflecting current developments in the research data landscape, the update of the service architecture in COREF is based on a bottom-up approach that addresses the results from a stakeholder survey and a stakeholder workshop in November 2020. The findings from the survey and workshop sessions presented in this report informed the development of a Conceptual Model for User Stories, which embeds the registry within the research community and the infrastructure landscape to meet the emerging needs for a trusted repository reference.

  • Open Access English
    Authors: 
    Jacobs, Arthur M.;

    This paper describes a corpus of about 3000 English literary texts with about 250 million words extracted from the Gutenberg project that span a range of genres from both fiction and non-fiction written by more than 130 authors (e.g., Darwin, Dickens, Shakespeare). Quantitative Narrative Analysis (QNA) is used to explore a cleaned subcorpus, the Gutenberg English Poetry Corpus (GEPC) which comprises over 100 poetic texts with around 2 million words from about 50 authors (e.g., Keats, Joyce, Wordsworth). Some exemplary QNA studies show author similarities based on latent semantic analysis, significant topics for each author or various text-analytic metrics for George Eliot's poem 'How Lisa Loved the King' and James Joyce's 'Chamber Music', concerning e.g. lexical diversity or sentiment analysis. The GEPC is particularly suited for research in Digital Humanities, Natural Language Processing or Neurocognitive Poetics, e.g. as training and test corpus, or for stimulus development and control. 27 pages, 4 figures

  • Open Access
    Authors: 
    Gimena del Rio Riande; Erzsébet Tóth-Czifra; Ulrike Wuttke; Yoann Moranville;
    Publisher: MDPI AG

    The digital transformation has initiated a paradigm shift in research and scholarly communication practices towards a more open scholarly culture. Although this transformation is slowly happening in the Digital Humanities field, open is not yet default. The article introduces the OpenMethods metablog, a community platform that highlights open research methods, tools, and practices within the context of the Digital Humanities by republishing open access content around methods and tools in various formats and languages. It also describes the platform’s technical infrastructure based on its requirements and main functionalities, and especially the collaborative content sourcing and editorial workflows. The article concludes with a discussion of the potentials of the OpenMethods metablog to overcome barriers towards open practices by focusing on inclusive, community sourced information based around opening up research processes and the challenges that need to be overcome to achieve its goals.

  • Open Access
    Authors: 
    Andrea C. Bertino; Heather Staines;
    Publisher: MDPI AG
    Country: Germany
    Project: EC | HIRMEOS (731102)

    The digital format opens up new possibilities for interaction with monographic publications. In particular, annotation tools make it possible to broaden the discussion on the content of a book, to suggest new ideas, to report errors or inaccuracies, and to conduct open peer reviews. However, this requires the support of the users who might not yet be familiar with the annotation of digital documents. This paper will give concrete examples and recommendations for exploiting the potential of annotation in academic research and teaching. After presenting the annotation tool of Hypothesis, the article focuses on its use in the context of HIRMEOS (High Integration of Research Monographs in the European Open Science Infrastructure), a project aimed to improve the Open Access digital monograph. The general line and the aims of a post-peer review experiment with the annotation tool, as well as its usage in didactic activities concerning monographic publications are presented and proposed as potential best practices for similar annotation activities.

  • Publication . Article . 2021
    Open Access
    Authors: 
    Michela Summa; Martin Klein; Philipp Schmidt;
    Publisher: Springer Science and Business Media LLC
    Country: Germany

    No abstract available.

  • Publication . Article . Preprint . 2018
    Open Access English
    Authors: 
    Nadia Boukhelifa; Michael Bryant; Natasa Bulatovic; Ivan Čukić; Jean-Daniel Fekete; Milica Knežević; Jörg Lehmann; David I. Stuart; Carsten Thiel;
    Countries: France, United Kingdom
    Project: EC | CENDARI (284432)

    International audience; The CENDARI infrastructure is a research-supporting platform designed to provide tools for transnational historical research, focusing on two topics: medieval culture and World War I. It exposes to the end users modern Web-based tools relying on a sophisticated infrastructure to collect, enrich, annotate, and search through large document corpora. Supporting researchers in their daily work is a novel concern for infrastructures. We describe how we gathered requirements through multiple methods to understand historians' needs and derive an abstract workflow to support them. We then outline the tools that we have built, tying their technical descriptions to the user requirements. The main tools are the note-taking environment and its faceted search capabilities; the data integration platform including the Data API, supporting semantic enrichment through entity recognition; and the environment supporting the software development processes throughout the project to keep both technical partners and researchers in the loop. The outcomes are technical together with new resources developed and gathered, and the research workflow that has been described and documented.

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