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- ItemA Review on Recent Advances in Video-based Learning Research: Video Features, Interaction, Tools, and Technologies(Aachen, Germany : RWTH Aachen, 2021) Navarrete, Evelyn; Hoppe, Anett; Ewerth, Ralph; Cong, Gao; Ramanath, MayaHuman learning shifts stronger than ever towards online settings, and especially towards video platforms. There is an abundance of tutorials and lectures covering diverse topics, from fixing a bike to particle physics. While it is advantageous that learning resources are freely available on the Web, the quality of the resources varies a lot. Given the number of available videos, users need algorithmic support in finding helpful and entertaining learning resources. In this paper, we present a review of the recent research literature (2020-2021) on video-based learning. We focus on publications that examine the characteristics of video content, analyze frequently used features and technologies, and, finally, derive conclusions on trends and possible future research directions.
- ItemHerbst TIB DOI Konsortium online Workshops - Metadaten Best Practice(Hannover : Technische Informationsbibliothek, PID Competence Center, 2021-11-09) Taller, Nelli; Dreyer, Britta; Burger, Felix; Hagemann-Wilholt, StephanieFolien für den virtuellen Workshop "Herbst TIB DOI Konsortium online Workshops - Metadaten Best Practice".
- Itemopen-access.network. Wie gestalten wir die Zukunft?(Zenodo, 2023) Benz, Martina; Kirchner, Andreas; Mikautsch, Emilia; Strauß, HeleneDas Poster "open-access.network. Wie gestalten wir die Zukunft?" wurde im Rahmen des BMBF-geförderten Projekts open.access-network erstellt und für die Open-Access-Tage 2023 angenommen. Das Poster skizziert den Weg zur Verstetigung des Kompetenz- und Vernetzungsportals open-access.network. Mit Blick auf das Ziel eines Community-basierten Organisations- und Finanzierungsmodells, wird aktiv zur Interaktion mit dem Poster sowie zur Ideen- und Meinungsäußerung zur Verstetigung eingeladen.
- ItemCall to action for global access to and harmonization of quality information of individual earth science datasets(Paris : CODATA, 2021) Peng, Ge; Downs, Robert R.; Lacagnina, Carlo; Ramapriyan, Hampapuram; Ivánová, Ivana; Moroni, David; Wei, Yaxing; Larnicol, Gilles; Wyborn, Lesley; Goldberg, Mitch; Schulz, Jörg; Bastrakova, Irina; Ganske, Anette; Bastin, Lucy; Khalsa, Siri Jodha S.; Wu, Mingfang; Shie, Chung-Lin; Ritchey, Nancy; Jones, Dave; Habermann, Ted; Lief, Christina; Maggio, Iolanda; Albani, Mirko; Stall, Shelley; Zhou, Lihang; Drévillon, Marie; Champion, Sarah; Hou, C. Sophie; Doblas-Reyes, Francisco; Lehnert, Kerstin; Robinson, Erin; Bugbee, KaylinKnowledge about the quality of data and metadata is important to support informed decisions on the (re)use of individual datasets and is an essential part of the ecosystem that supports open science. Quality assessments reflect the reliability and usability of data. They need to be consistently curated, fully traceable, and adequately documented, as these are crucial for sound decision- and policy-making efforts that rely on data. Quality assessments also need to be consistently represented and readily integrated across systems and tools to allow for improved sharing of information on quality at the dataset level for individual quality attribute or dimension. Although the need for assessing the quality of data and associated information is well recognized, methodologies for an evaluation framework and presentation of resultant quality information to end users may not have been comprehensively addressed within and across disciplines. Global interdisciplinary domain experts have come together to systematically explore needs, challenges and impacts of consistently curating and representing quality information through the entire lifecycle of a dataset. This paper describes the findings of that effort, argues the importance of sharing dataset quality information, calls for community action to develop practical guidelines, and outlines community recommendations for developing such guidelines. Practical guidelines will allow for global access to and harmonization of quality information at the level of individual Earth science datasets, which in turn will support open science.
- ItemFDM am Standort: von der initialen Idee zum dauerhaften Service : Rückblicke auf die DINI/nestor-Workshopreihe(Marburg : Philipps-Universität, 2020) Brenger, Bela; Lemaire, Marina; Ludwig, Jens; Neumann, Janna; Rehwald, Stephanie; Stegemann, JessicaDer Aufbau und das Angebot von Infrastrukturen und Services für das Forschungsdatenmanagement (FDM) für Wissenschaftlerinnen und Wissenschaftler ist derzeit eine drängende Herausforderung für Universitäts- und Forschungsstandorte. In drei aufeinander aufbauenden Workshops der DINI/nestor AG Forschungsdaten in Zusammenarbeit mit den Universitäten Duisburg-Essen, Siegen und Trier wurden die verschiedenen Aspekte zu Themen wie die Ermittlung der Bedarfe, die Entwicklung von Service- und Organisationsstrukturen sowie die nachhaltige Finanzierung vorgestellt und diskutiert, um ein sinnvolles Gesamtangebot eines Standorts im Bereich FDM zu entwickeln. Dieser Artikel gibt einen Überblick über die bei den Workshops vorgestellten Inhalte und geführten Diskussionen.
- ItemOn the Role of Images for Analyzing Claims in Social Media(Aachen, Germany : RWTH Aachen, 2021) Cheema, Gullal S.; Hakimov, Sherzod; Müller-Budack, Eric; Ewerth, RalphFake news is a severe problem in social media. In this paper, we present an empirical study on visual, textual, and multimodal models for the tasks of claim, claim check-worthiness, and conspiracy detection, all of which are related to fake news detection. Recent work suggests that images are more influential than text and often appear alongside fake text. To this end, several multimodal models have been proposed in recent years that use images along with text to detect fake news on social media sites like Twitter. However, the role of images is not well understood for claim detection, specifically using transformer-based textual and multimodal models. We investigate state-of-the-art models for images, text (Transformer-based), and multimodal information for four different datasets across two languages to understand the role of images in the task of claim and conspiracy detection.
- ItemATMODAT Standard v3.0(Hamburg : DKRZ, 2020) Gasnke, Anette; Kraft, Angelina; Kaiser, Amandine; Heydebreck, Daniel; Lammert, Andrea; Höck, Heinke; Thiemann, Hannes; Voss, Vivien; Grawe, David; Leitl, Bernd; Schlünzen, K. Heinke; Kretzschmar, Jan; Quaas, JohannesWithin the AtMoDat project (Atmospheric Model Data), a standard has been developed which is meant for improving the FAIRness of atmospheric model data published in repositories. The ATMODAT standard includes concrete recommendations related to the maturity, publication and enhanced FAIRness of atmospheric model data. The suggestions include requirements for rich metadata with controlled vocabularies, structured landing pages, file formats (netCDF) and the structure within files. Human- and machine readable landing pages are a core element of this standard, and should hold and present discipline-specific metadata on simulation and variable level. This standard is an updated and translated version of "Bericht über initialen Kernstandard und Kurationskriterien des AtMoDat Projektes (v2.4)
- ItemTowards Customizable Chart Visualizations of Tabular Data Using Knowledge Graphs(Cham : Springer, 2020) Wiens, Vitalis; Stocker, Markus; Auer, Sören; Ishita, Emi; Pang, Natalie Lee San; Zhou, LihongScientific articles are typically published as PDF documents, thus rendering the extraction and analysis of results a cumbersome, error-prone, and often manual effort. New initiatives, such as ORKG, focus on transforming the content and results of scientific articles into structured, machine-readable representations using Semantic Web technologies. In this article, we focus on tabular data of scientific articles, which provide an organized and compressed representation of information. However, chart visualizations can additionally facilitate their comprehension. We present an approach that employs a human-in-the-loop paradigm during the data acquisition phase to define additional semantics for tabular data. The additional semantics guide the creation of chart visualizations for meaningful representations of tabular data. Our approach organizes tabular data into different information groups which are analyzed for the selection of suitable visualizations. The set of suitable visualizations serves as a user-driven selection of visual representations. Additionally, customization for visual representations provides the means for facilitating the understanding and sense-making of information.
- ItemTowards the semantic formalization of science(New York City, NY : Association for Computing Machinery, 2020) Fathalla, Said; Auer, Sören; Lange, ChristophThe past decades have witnessed a huge growth in scholarly information published on the Web, mostly in unstructured or semi-structured formats, which hampers scientific literature exploration and scientometric studies. Past studies on ontologies for structuring scholarly information focused on describing scholarly articles' components, such as document structure, metadata and bibliographies, rather than the scientific work itself. Over the past four years, we have been developing the Science Knowledge Graph Ontologies (SKGO), a set of ontologies for modeling the research findings in various fields of modern science resulting in a knowledge graph. Here, we introduce this ontology suite and discuss the design considerations taken into account during its development. We deem that within the next years, a science knowledge graph is likely to become a crucial component for organizing and exploring scientific work.
- ItemDigitale Langzeitarchivierung - Was ist das? Was hat das mit DOIs zu tun? Und was macht die TIB in der LZA?(Hannover : Technische Informationsbibliothek, PID Competence Center, 2023-05-02) Lindlar, MickyFolien zum Thema Langzeitarchivierung für den virtuellen Workshop "Frühlings TIB DOI Konsortium Workshop - Retrodigitalisierung und Langzeitarchivierung".