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Universität Mannheim: MADATA - Mannheim Research Data Repository
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    194 research outputs found

    Knowledge Graph Functions in NFDI

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    The dataset contains use case examples from Knowledge Graph (KG) projects across the NFDI consortia, including the KG names, as well as the challenges the consortia faced in the process of employing a KG for the consortium. Lastly, the functions supported by the KGs are organized according to several categories

    Paraly: Replication package for exploring the concept of paralysis (fr. ‘paralysie’) in a digital corpus of French Literature

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    This replication package provides all necessary resources to reproduce the dataset and methodological approach described in the Paraly data paper. The dataset consists of three corpora (full texts and metadata) of French literature from the 18th, 19th, and 20th centuries, containing both figurative and concrete linguistic references (annotations) to the concept of paralysis. The texts originate from the “Les classiques de la littérature” collection maintained on Gallica, the digital library of the Bibliothèque nationale de France (BnF). The replication package includes scripts and documentation for data collection, extraction, processing, annotation, and model training. It contains: scripts for data and metadata collection, original OCR-ed texts with metadata from Gallica, text excerpts containing the character sequence “paraly” and their manual annotations, annotation guidelines detailing the methodology used, a pre-trained multilabel classifier trained on the annotated data using the flair library, a graphical user interface application for automatic annotation, code and workflows for processing text corpora. By providing these resources, the replication package enables researchers to reproduce the dataset creation process, refine the annotation workflow, and extend the methodological approach to other literary corpora

    RegioRadar 2025

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    Dieser Datensatz enthält die Ergebnisse einer Umfrage, deren Ziel es ist, aktuelle Stimmungs- und Meinungsbilder zum Wellbeing sowie zu den Bedürfnissen der Bürgerinnen und Bürger der Metropolregion Rhein-Neckar (MRN) zu erfassen. Die erhobenen Variablen umfassen demographische Angaben, Angaben zum persönlichen Wohlbefinden in der MRN sowie Angaben zu Problemen in der MRN und möglichen Lösungsideen

    Vertrauen in Wissenschaft: Interviewtranskripte einer explorativen Studie

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    Im Rahmen eines DFG-geförderten Projekts zum Thema Vertrauen in die Wissenschaft wurden im Jahr 2022 35 leitfadengestützte Interviews geführt. Ziel war die Untersuchung der Bestandteile und Ausprägungen von Vertrauen in Wissenschaft. In den Interviews wurde die Perspektive von Laien auf Wissenschaft ergründet, z. B. die Erwartungen an Wissenschaft und die Bewertung der Leistung von Wissenschaft. Der Samplingprozess orientierte sich an der Grounded Theory Methodologie. Ausgewählt wurden beispielsweise kontrastierend Personen mit zustimmender oder abweisender Einstellung gegenüber der Wissenschaft oder bestimmten Disziplinen. In diesem Repositorium werden die anonymisierten Trankskripte dieser Interviews sowie der Leitfaden zur Verfügung gestellt

    Replication package for "LLM4DDC: Adopting Large Language Models for Research Data Classification Using Dewey Decimal Classification"

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    This replication package accompanies the paper "LLM4DDC: Adopting Large Language Models (LLM) for Research Data Classification Using Dewey Decimal Classification (DDC)". The study investigates the application of LLMs and small language models (SLMs) for automating the classification of research data metadata into DDC classes. The package includes the codes and dataset used for experiments, allowing for reproducibility and further research. The replication package is intended to support researchers and practitioners in integrating automated classification approaches into research data infrastructures. The resources are additionally openly accessible on GitHub

    Data from the paper: Power asymmetry and embarrassment in shared decision-making: predicting participation preference and decisional conflict.

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    Background. Shared decision-making (SDM) is the gold standard for patient-clinician interaction, yet many patients are not actively involved in medical consultations and hesitate to engage in decisions on their health. Despite considerable efforts to improve implementation, research on barriers to SDM within the patient-clinician relationship and interaction is scant. To identify potential barriers to urological patients’ participation in decision-making, we developed two novel scales assessing power asymmetry (PA-ME) and embarrassment in medical encounters (EmMed). The present study validates both scales in a large sample comprising urological patients and non-clinical participants. It further examines the effects of both factors on participation preferences and decisional conflict among patients. Methods. Data were collected from 107 urological patients at a university hospital for Urology and Urosurgery in Germany. Patients completed self-report questionnaires before and after their clinical appointments. In addition, 250 non-clinical participants provided data via an online study. All participants rated perceived power asymmetry in the patient-clinician relationship and their experience of embarrassment in medical contexts using the PA-ME and EmMed scales. Urological patients further indicated their participation preference in decisions regarding both general and urological care prior to the consultation. Afterward, they assessed the level of perceived decisional conflict. Results. Factor analyses yielded power asymmetry and medical embarrassment as unidimensional constructs. Both questionnaires have good (PA-ME; α = 0.88), respectively excellent (EmMed; α = 0.95), internal consistency. Among urological patients, higher levels of perceived power asymmetry predicted lower generic participation preference (β = − 0.98, p <.001, adjusted R2 = 0.14) and higher decisional conflict (β = 0.25, p <.01, adjusted R2 = 0.07). While, in patients, embarrassment was not linked to generic participation preference before the consultation (p ≥.5), it resulted in higher decisional conflict after the consultation (β = 0.39, p <.001, adjusted R2 = 0.14). Neither power asymmetry nor embarrassment were specifically associated with participation preference regarding urological care (p ≥.273). Conclusions. Given their promising psychometric properties, the new instruments are recommended for routine assessment of power asymmetry and embarrassment among patients. Addressing these factors may be helpful to reduce decisional conflict and increase participation preferences. Both factors are prerequisites for a successful SDM-process and active patient engagement in health-related decisions

    Web Data Commons - RDFa, Microdata, Embedded JSON-LD, and Microformats Data Sets - October 2023

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    The Web Data Commons RDFa, Microdata and Microformats data sets has been extracted from the September/October 2023 release of the Common Crawl. In summary, we found structured data within 1.7 billion HTML pages out of the 3.4 billion pages contained in the crawl (50.60%). These pages originate from 15 million different pay-level-domains out of the 34 million pay-level-domains covered by the crawl (42.89%). Altogether, the extracted data sets consist of 86 billion RDF quads

    Datensatz zum Aufsatz: Carl Friedrich Lehmann-Haupt Bilder und Abbilder in historischen Zeitungen Deutschlands und Österreichs

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    Der vorliegende Datensatz sammelt nun die zeitgenössischen Meldungen in Österreich und Deutschland, die sowohl über Lehmann-Haupt berichten als auch solche, die aus seiner eigenen Feder stammen. Die Suche wurde mittels optischer Zeichenerkennung (optical character recognition = OCR) und der fortschreitenden Digitalisierung der historischen Zeitungen ermöglicht. Für die österreichischen Zeitungen wurde ANNO (https://anno.onb.ac.at/) und für die deutschen Zeitungen das Deutsche Zeitungsportal (https://www.deutsche-digitale-bibliothek.de/newspaper) nach Lehmann-Haupt durchsucht. Diese Datensammlung dient als Grundlage für deren Auswertung im Aufsatz: Angelika Kellner, Carl Friedrich Lehmann-Haupt. Bilder und Abbilder in zeitgenössischen Zeitungen in: Kai Ruffing – Brigitte Truschnegg – Andreas Rudigier – Julian Degen – Sebastian Fink – Kordula Schnegg (Hrsg.), Navigating the Worlds of History. Studies in Honor of Robert Rollinger on the Occasion of his 60th Birthday (Wiesbaden 2024) 1369–1388

    Web Data Commons - Schema.org Table Corpus 2023

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    The WDC schema.org Table Corpus consists of ~5 million relational tables which were generated by extracting schema.org data from the Common Crawl and grouping the data into seperate tables for each class/host combination, e.g. all records of a specific class that were extracted from a specific website are put into a single table. The corpus covers 42 schema.org classes

    MBI-KG: Replication package for a knowledge graph of structured and linked economic research data extracted from the 1937 book "Die Maschinen-Industrie im Deutschen Reich"

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    The replication package for the MaschinenBauIndustrie Knowledge Graph (MBI-KG) provides all necessary resources for reproducing the structured and semantically enriched dataset derived from the 1937 book “Die Maschinen-Industrie im Deutschen Reich.” This package includes the scanned images, OCR-extracted data, structured datasets, semantically enriched datasets, and scripts used for data transformation, semantic enrichment, and integration into the open-source knowledge graph platform. Documentation guides users through the entire replication process, from raw data extraction to knowledge graph generation. Please note that due to manual quality checks applied to the data, the bulk files included in this package may differ slightly from results generated solely using the provided scripts. These quality checks ensure enhanced data accuracy and reliability for users of the bulk files. The package also includes data export files in CSV, RDF (ttl), JSON, and NDJSON formats to ensure compatibility with various analytical tools, as well as SPARQL queries, API scripts, and bulk data downloads to support advanced querying and integration. This replication package promotes transparency and reproducibility, offering a valuable resource for researchers in economic history, digital humanities, and data science to further explore Germany's mechanical engineering industry in the early 20th century

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    Universität Mannheim: MADATA - Mannheim Research Data Repository
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